As Senior Product Lifecycle Manager, you’ll connect Wayve’s product milestones to the detailed technical plans, system-level artefacts and readiness evidence needed to deliver them. You’ll lead complex, multi-team programmes from one milestone to the next, ensuring teams work from a shared, credible plan across our Level 2 and Level 4 products.

Your day-to-day:

• Partner with engineering and product leads to translate product milestones into integrated cross-team schedules, priorities and delivery plans.
• Review technical progress, backlog health, dependencies and system-level evidence to determine whether programmes are ready to move forward.
• Identify technical risks and sequencing bottlenecks early, then drive the decisions and mitigation plans needed to protect delivery.
• Facilitate difficult conversations around scope, resources and competing priorities, helping teams reach clear and practical decisions.
• Adapt plans quickly as technical understanding, product priorities or delivery constraints change.
• Communicate programme status, schedule changes, risks and decisions clearly and proactively across technical teams and senior stakeholders.

What you’ll be working on:

• Owning and maintaining integrated lifecycle plans for complex Level 2 and Level 4 product milestones, creating a clear source of truth across teams.
• Managing cross-team dependencies and critical-path activities across engineering, product, safety, verification and validation.
• Managing system-level artefacts throughout the product lifecycle, ensuring the right information and evidence are available at each milestone.
• Establishing clear milestone-readiness criteria and using technical status, metrics and backlog data to support evidence-based delivery decisions.
• Aligning programme scope, sequencing and resource decisions with Wayve’s strategic and commercial priorities.
• Improving lifecycle-planning practices and tooling so teams can identify risk earlier, coordinate more effectively and deliver with greater predictability.

You should apply if:

• You have 5+ years of experience leading complex, multi-team technical or product programmes, with responsibility for planning, execution and delivery across several engineering teams.
• You bring a strong background in the automotive or autonomous-vehicle industry and understand the complexity of delivering integrated vehicle and software products.
• You have the technical depth to work closely with engineers, evaluate complex system architectures and challenge delivery plans constructively,not simply track execution.
• You think in systems, understanding how technical decisions, dependencies and changes in one area affect downstream teams and product outcomes.
• You’re decisive under uncertainty and can make sound prioritisation and trade-off recommendations with incomplete or evolving information.
• You have a strong track record of identifying delivery, technical and dependency risks early and driving them through to resolution.
• You use metrics, technical evidence and backlog health to assess readiness and guide programme decisions.
• You’re product-minded and outcome-focused, connecting delivery decisions to customer value and business impact rather than process completion alone.
• You can facilitate challenging stakeholder conversations, resolve conflicting technical priorities and create alignment without relying on formal authority.
• You communicate clearly in writing and in conversation, tailoring complex programme information for both technical and business audiences.
• You’re proficient with Jira, Confluence and modern backlog, planning and programme-management tools.
• Experience working in a safety-critical, regulated or complex multi-stakeholder environment would be valuable.
• A programme-management qualification such as PMP, CAPM or PRINCE2 would be a plus.

What’s in it for you (Location dependant):

• Salaries benchmarked against the market annually
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

The Talent Acquisition team plays a critical role in our success. We hire the people who build and ship our autonomous driving technology. We’re a diverse team, based across the UK, US and Japan, and we take a sourcing first, quality focused and data-driven approach, acting as true partners to the business.

Your day-to-day:

• Manage end-to-end recruitment for each role - sourcing, screening, interviewing and closing candidates, using Ashby to track your pipeline.
• Proactively source and headhunt candidates rather than relying on inbound applications, balancing depth of engagement for quality hires with the volume each search demands.
• Run regular check-ins and debriefs with hiring managers to keep every search on track.
• Deliver a world-class candidate experience through transparent communication, timely feedback and a seamless interview process.
• Track day-to-day metrics and flag pipeline bottlenecks as they come up.

What you’ll be working on:

• Owning a portfolio of typically 10-15 concurrent roles spanning software engineering, machine learning, integration and data engineering through to product and program management.
• Educating hiring managers and stakeholders on job profiles and search strategy, so every search starts from a sharp, well-defined brief.
• Using data to make the right calls on where to focus search effort across your portfolio, and continuously improving how we hire based on what that data tells you.
• Advising hiring managers on how AI is changing the shape of technical and product roles, and helping translate that into hiring strategy and candidate profiles.
• Helping build the high-performing, diverse technical and product teams that drive Wayve’s innovation and business impact as the company scales.

You should apply if:

• You have 5+ years of full-cycle technical recruitment experience, in a fast-scaling tech startup or scale-up environment.
• You’re a sourcing-driven recruiter at heart. You proactively headhunt and engage candidates rather than waiting for applications to come to you, and you know how to balance sourcing for quality with adding volume into the funnel when the search calls for it.
• You’re highly data-driven, using pipeline data to diagnose bottlenecks, understand what’s working, and course-correct your search when things aren’t converting.
• You act as a true business partner to hiring managers, helping shape and define roles, not just taking orders.
• You’re forward-thinking about AI and how it’s changing roles and ways of working, and can advise hiring managers on how this shows up in the profiles they’re hiring for.
• You have hands-on experience using Ashby to manage your recruitment pipeline.
• Ideally, you’ve worked across both agency and in-house recruitment, giving you a well-rounded view of sourcing and candidate management.

Benefits:

• Salaries benchmarked against the market annually
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

Here's what this particular role covers.

Our Product Architecture & Safety team brings together data, systems thinking and engineering expertise to help answer that question. Working closely with Model Development, Behavioural Validation, Safety and Robotaxi Engineering, you’ll turn real-world driving, validation and operational data into evidence of what the Wayve AI Driver can do today,and what needs to improve next. Your work will help shape development priorities and measure progress towards a safe, reliable and scalable driverless service.

You’ll take ownership of hands-on analysis, from exploring complex datasets in Python and SQL to sharing findings that guide product and engineering decisions.

Responsibilities:

• Investigate driving behaviours and operational events to understand where, why and how often the system falls short of driverless service expectations.
• Build practical metrics, performance baselines and dashboards to track progress across model, software and product releases.
• Apply statistical methods to assess rare events, quantify uncertainty and distinguish meaningful improvements from noise.
• Work with teams across Wayve to turn findings into development priorities, targeted validation and better data collection.
• Contribute to product readiness reviews with clear evidence of progress, remaining limitations and the confidence behind your conclusions.

What you’ll be working on:

• Understanding driverless readiness: Assess real-world driving and validation data to identify performance gaps, quantify their operational impact and track whether they are closing.
• Separating performance gaps from missing capabilities: Identify where better model performance can help and where additional system or product capabilities are needed.
• Measuring the complete Robotaxi experience: Define metrics for remote assistance, passenger pickup and drop-off, passenger interactions, vehicle readiness and recovery from operational disruptions.
• Evaluating service reliability: Measure intervention demand, mission completion, recovery time and vehicle availability to understand what it takes to deliver a dependable driverless service.
• Exploring challenging scenarios: Investigate safety-critical interventions, unnecessary stops, stuck scenarios and manoeuvre execution across different roads and operating conditions.

Requirements:

• You have at least three years of relevant experience in data science, automotive data analysis or a related field, with deeper experience for senior-level opportunities.
• You’re hands-on with Python, SQL, statistical analysis and tools for exploring and visualising large datasets.
• You can turn an ambiguous real-world problem into measurable questions, useful KPIs and a practical analytical approach.
• You’ve analysed complex systems, uncovered performance limitations and translated your findings into product or engineering improvements.
• You understand statistical confidence, rare-event analysis, performance distributions and trends.
• You’re comfortable working independently with incomplete data, making reasonable assumptions and refining your approach as new evidence emerges.
• You communicate clearly with engineering, product and leadership stakeholders, explaining both your findings and their limitations.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Flexible working arrangements appropriate to your role and location, with opportunities to collaborate in person
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

As a Software Engineer on the Platform Integration team, you'll combine hands-on vehicle and bench work with production software development. Your work will directly enable safe, scalable deployment across multiple vehicle programs.

Your day-to-day

• Support software bring-up on benches, HiL systems, and vehicles, including work at international test locations.
• Develop and maintain vehicle-facing software components and shared frameworks.
• Diagnose integration issues across software and hardware boundaries and drive them through resolution.
• Identify architectural improvements that reduce bespoke work and improve reuse.
• Build diagnostics, tooling, and metrics for robot-software reliability and performance.
• Produce clear documentation and runbooks for long-term supportability.
• Collaborate with hardware, safety, controls, calibration, and reliability teams.

What you'll be working on

• New vehicle-program bring-up across embedded compute, sensors, networks, and software services.
• Linux-based robotic and automotive systems with multi-process and distributed architectures.
• ROS2 or similar middleware, node development, message interfaces, and system integration.
• Sensor calibration, synchronisation, data validation, and system-level debugging.
• Automotive-grade compute platforms such as NVIDIA DRIVE and Qualcomm Snapdragon Ride.
• Vehicle communication systems including CAN and Automotive Ethernet.
• Shared abstractions and frameworks that improve reliability across programs.

You should apply if

• You have strong software-development experience in C++, Python, or Rust.
• You have delivered production-quality software on Linux-based robotic, embedded, or automotive platforms.
• You understand ROS2 or similar robotics middleware and distributed-system integration.
• You have hands-on experience integrating software with vehicle or embedded hardware.
• You can diagnose complex problems using logs, telemetry, on-target tests, and systematic experimentation.
• You understand vehicle sensors, networking, and the practical realities of platform bring-up.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

You will be part of our ADAS team, bringing Wayve's end-to-end AI driving to production-grade advanced driver assistance, working directly with our OEM partners.

Your day-to-day will involve:

• Leading a team of around seven ML engineers, with 60% management and 40% hands-on time
• Acting as tech lead across multiple workstreams, setting the vision for how problems get solved
• Reviewing and approving delivery plans for tasks you own
• Partnering with TPMs on planning and execution, and with Product to help shape priorities
• Coaching and developing the ML engineers on your team

You will be working on:

• Taking our end-to-end AI driving approach into ADAS for a specific OEM production programme
• Bringing ML models from proof of concept through to production on embedded automotive hardware
• Optimising runtime and inference for constrained hardware
• Building and scaling a new team during a high-priority growth phase

Requirements:

• Expert background in developing ML, specifically computer vision
• Experience as a people manager and developing engineers
• Hands-on experience with embedded runtime and inference optimisation
• Clear communication and thoughtful collaboration with colleagues

About Wayve: Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity
• Relocation support and visa sponsorship where applicable
• Hybrid working
• Learning and development budgets
• Comprehensive benefits including health insurance, dental, and more

Job Data by YubHub.

Your Day-to-Day

• Own the model release cycle, maintaining a steady and predictable cadence while adapting to changing business priorities.
• Coordinate across ML engineering, evaluation and data science, software platform, testing, and product to keep releases moving and resolve dependencies.
• Run the gates that promote models from hypothesis → training → evaluation → validation → deployment, making clear what is ready to ship and what needs more work.
• Drive investigations into regressions and integration issues, coordinate rollback or roll-forward decisions, and follow through on technical debt and corrective actions.
• Be the central point of contact for model-release status, risks, and timelines, giving engineers and leadership the right level of detail.
• Run post-release reviews and turn lessons learned into practical improvements across teams.

What You'll Be Working On

• Release gates and promotion criteria: Define and justify what it takes for a model to progress, balancing performance gains, reproducibility, product requirements, safety, and compatibility with the onboard software stack and vehicle platform.
• A release process that works for ML: Build frameworks that connect model development, evaluation, the Wayve onboard stack, and product needs , applying strong release-engineering practices while recognising where hypothesis-driven, non-deterministic systems need a different approach.
• Bottleneck identification and improvement: Find constraints in the release lifecycle, implement dashboards and KPIs to make them visible, and proactively escalate gaps.
• Tooling and automation: Partner with ML platform and integration teams to shape end-to-end automated release tooling. Define requirements that improve developer experience, release efficiency, and stakeholder communication.
• Reliable, stable deployments: Strengthen how teams handle model versions, integration issues, regressions, and recovery so that releases deliver value reliably.

You Should Apply If

• You have 5+ years of experience in release management, software engineering, or a related field.
• You understand the Software Development Life Cycle (SDLC) and release management practices, including testing strategy, system integration, branching, and versioning.
• You have a conceptual understanding of ML fundamentals: what training data is, the difference between training and inference, what a model version or checkpoint represents, and why model validation is probabilistic rather than simply pass/fail.
• You have experience with CI/CD pipelines and automation tools such as GitHub, Buildkite, and CLI tools.
• You're skilled at managing releases in complex, fast-moving systems and comfortable adapting processes and tooling as requirements, architecture, and timelines change.
• You bring strong problem-solving and decision-making skills, including when release trade-offs depend on limited or ambiguous data.
• You communicate clearly with engineers and leadership, helping people understand priorities, risks, and decisions.
• You're pragmatic, methodical, and system-minded. You bring strong release-engineering instincts and are keen to develop the judgment to know where ML systems require a different approach.

Job Data by YubHub.

Vehicle Generalization Team

Vehicle Generalization makes it efficient, scalable, and predictable to deploy Wayve's autonomous driving stack across a wide range of vehicle platforms by making our core autonomy generalise as widely as possible. We work across pre- and post-training to improve how well our AI models generalise zero-shot to changes in perception,including cameras, intrinsics, field of view, lens distortion, and calibration,and embodiment, including vehicle dynamics, actuation limits, and rig geometry. We also own the Generalization Benchmark, Wayve's tool for measuring how models transfer across platforms. Our work goes into production programmes with major OEMs.

Responsibilities

• Design and train models that are robust to differences between vehicles, using approaches such as conditioning or augmentation for vehicle kinematics and camera parameters.
• Create benchmarks and metrics for cross-platform performance, translating results into clear decisions for model and platform teams.
• Help root-cause on-road issues such as late turns, lane-keeping, and steering problems. Work with controls, calibration, and OEM engineers to separate model problems from system problems and identify the highest-impact model improvements.
• Move research into production in collaboration with Driving Core and application engineering teams.
• Support customer programmes, with some travel.
• Mentor teammates and help raise the bar for ML engineering across the team.

Requirements

• You have several years of experience building and shipping ML systems in PyTorch and Python, including training at scale, debugging experiments, and rigorous evaluation.
• You have a strong robotics or automotive background in areas such as state estimation, sensor fusion, calibration, vehicle dynamics, or controls.
• You bring a systems perspective and can trace a problem through sensors, data, models, and actuation.
• You have experience working with real-world, multi-sensor driving or robot data.
• You communicate clearly across teams and are comfortable owning ambiguous problems from start to finish.

Nice to Have

• Experience with end-to-end or learned driving and planning policies, imitation learning, or reinforcement learning.
• Experience with platform bring-up or deployment across multiple vehicles.
• C++ skills and experience with on-vehicle or embedded deployment.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity
• Relocation support and visa sponsorship where applicable
• Hybrid working and access to vehicle workshops and labs
• Learning and development support
• Comprehensive location-dependent health, family, retirement, and wellbeing benefits

Job Data by YubHub.

As a Machine Learning Engineer, Data Enrichment, you will tackle computer vision problems spanning road geometry, spatial relationships, road users and driving behaviour.

Your day-to-day:

• Work with internal customers to define scene and scenario attributes, dataset requirements and measurable acceptance criteria for annotations and classifiers
• Design and refine annotation tasks and labelling instructions, using pilots, annotator agreement and expert review to resolve ambiguity and measure quality
• Curate and deliver ground-truth datasets for other teams to train and evaluate models, addressing rare scenarios, class imbalance and coverage across countries and vehicle platforms
• Build and evaluate computer vision models that draw on Wayve's World Foundation Model to identify scene attributes and driving behaviours
• Use error analysis to identify gaps in data, labels and model performance, and test approaches to improve them

What you'll be working on:

• Ground-truth datasets and classifiers that describe road geometry, spatial relationships, road users and driving behaviour
• Integrating classifiers with enrichment infrastructure to run inference across existing and newly collected driving data, making predictions available for corpus analysis and scenario mining
• Improving reusable tools for annotation, training, evaluation and inference
• Documenting dataset and classifier quality, and communicating limitations to colleagues across disciplines

You should apply if:

• You have practical experience developing and evaluating computer vision models for image or video understanding, including interpreting spatial relationships in visual data
• You have strong Python programming skills and experience with a modern machine learning framework such as PyTorch
• You have experience curating training and evaluation datasets and assessing annotation quality, with an understanding of class imbalance, data leakage and representative evaluation
• You have taken machine learning models beyond experimentation into use, with reproducible training, evaluation and inference
• You can investigate model failures and determine whether improvements need better data, clearer labels or changes to the modelling approach
• You can translate an ambiguous customer request into clear technical deliverables and quality criteria, and communicate performance and limitations to colleagues from different disciplines

Job Data by YubHub.

Here's what this particular role covers.

Your Day-to-Day

• Lead validation strategy for advanced driver-assistance and autonomous-driving functions across multiple test modalities.
• Translate product and safety requirements into measurable coverage, acceptance criteria, and validation plans.
• Work hands-on with Python-based evaluation tools, metrics, simulation results, and large datasets.
• Analyse validation outcomes and communicate clear evidence to Product, Safety, Release, and Autonomy Engineering stakeholders.
• Coordinate dependencies across data, simulation, evaluation, and engineering teams so validation can run reliably at scale.
• Provide technical leadership and raise the quality bar for systems validation in ambiguous, fast-moving programmes.

What You'll Be Working On

• Comprehensive verification strategies for ADAS and autonomy functions within the Wayve AI Driver.
• Test suites spanning simulated scenarios and physical vehicle testing.
• Behaviour metrics and evidence that connect system requirements to real driving performance.
• Scalable, automated validation workflows that support multiple products and customer deployments.
• Validation approaches for learned and adaptive behaviours as end-to-end AI systems evolve.

You Should Apply If

• You have significant experience validating complex automotive, autonomous-driving, robotics, aerospace, or similarly safety-relevant systems.
• You have led validation concepts from initial ambiguity through implementation, execution, and reporting.
• You can use Python to implement metrics and work within evaluation codebases; SQL experience is valuable.
• You understand simulated and physical testing and can make evidence-based decisions from imperfect data.
• You communicate crisply, document decisions well, and can align technical stakeholders across disciplines.
• Experience with ML, computer vision, motion planning, data science, SOTIF, safety validation, or agentic AI workflows is beneficial.

About Wayve Wayve is building the leading AI platform for autonomous driving. We are pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience, developing the ability to adapt, generalise and improve at scale.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in Wayve's long-term success
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours, and opportunities to work hands-on in vehicle workshops and labs
• Learning and development support for training, conferences, and growth
• Comprehensive location-dependent benefits, including health coverage, family leave, retirement or pension support, wellbeing resources, and team socials

Job Data by YubHub.

The Driving Product team builds the AI driver's core behaviours, taking models from data and training through evaluation and on-road validation, then shipping them into the car on timelines measured in months, not years.

Your day-to-day:

• Develop the AI driver model architecture and training algorithms to introduce and enhance driving behaviours for L2/L3/L4
• Own key parts of the training model lifecycle, including evaluation strategy, success metrics, and iteration planning
• Mine, bucket, and curate real-world and synthetic data to teach specific driving behaviours, and implement data schemes to support training
• Run and analyse on-road and offline experiments, translate results into clear next steps, and drive improvements through repeated training cycles

What you'll be working on:

• Models that predict vehicle trajectories and interact directly with controllers and actuators, closing the loop between prediction and real-world vehicle performance
• End-to-end work across data, model training, evaluation, deployment, and performance monitoring
• On-road and off-road metrics that diagnose issues and drive data-led model iterations
• Production-ready ML systems built with strong software engineering, quality, and reliability practices
• Methods spanning reinforcement learning, behavioural cloning, and distillation, working with multi-sensor inputs such as camera, radar, and lidar where relevant

You should apply if:

• Proven track record training deep learning models with clear end-to-end ownership: data, training, evaluation, and iteration
• You've taken ML models into production, working through real-world constraints, quality, and safety requirements
• Strong Python skills and hands-on experience with modern ML frameworks
• Comfortable shipping production-facing ML, not just research or proof-of-concept work
• Background in either end-to-end autonomous driving/embodied AI, or large-scale product ML systems such as recommendations or ranking
• Bring reinforcement learning or behavioural cloning experience, especially where it materially improved real-world performance
• Familiar with model compression and deploying ML to embedded systems (nice to have)

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partner discounts and more

Job Data by YubHub.

As a Staff Software Engineer, you’ll bring deep experience in software, hardware, robotics and autonomous vehicle integration. You’ll lead the team’s integration architecture, mentor engineers and help resolve its most complex technical challenges.

Your day-to-day

• Lead integration architecture and author design documents that define interfaces, evaluate trade-offs and guide implementation across vehicle programmes.
• Partner with the Engineering Manager to shape the technical roadmap, balancing programme delivery with improvements to architecture, tooling and maintainability.
• Unblock the most complex integration challenges, diagnosing problems across application software, middleware, operating systems, networks and hardware.
• Mentor engineers through design discussions, code reviews and hands-on debugging, building the team’s technical judgement and independence.
• Represent Platform Integration in technical discussions across Robot Software, aligning with other technical leads on interfaces, dependencies and ownership.
• Develop and review production software, establishing patterns that reduce bespoke integration work and improve reuse.
• Lead targeted bench, HiL and vehicle investigations where hands-on work is needed to resolve uncertainty or validate a design.
• Turn lessons from bring-up and field issues into better diagnostics, integration practices, documentation and validation.

What you’ll be working on

• Integration architecture for new vehicle programmes across embedded compute, sensors, vehicle interfaces, networks and software services.
• Shared vehicle-facing components and abstractions that support multiple hardware configurations without duplicating integration logic.
• System-level integration of Linux-based robotic and automotive platforms with multi-process and distributed architectures.
• Sensor integration, calibration, synchronisation and data validation, working with the teams that own those capabilities.
• Vehicle communication and control interfaces, including CAN, Automotive Ethernet and drive-by-wire systems.
• Integration across automotive compute platforms such as NVIDIA DRIVE and Qualcomm Snapdragon Ride.
• Bench, HiL and vehicle validation strategies that identify integration problems early and provide evidence of platform readiness.
• Diagnostics and tooling that make complex robot systems easier to understand, debug and support.

You should apply if

• You bring substantial experience integrating autonomous vehicles or similarly complex robotic systems, with deep practical understanding of how software, compute, sensors, networks and actuators interact.
• You have led architecture and delivery for complex integration work, making sound technical decisions across software and hardware boundaries.
• You have strong software-development skills in C++, Rust or comparable systems languages, and experience delivering production-quality software on Linux-based robotic, embedded or automotive platforms.
• You can turn ambiguous requirements into clear designs, interfaces and implementation plans that other engineers can execute.
• You have a track record of resolving difficult system-level problems through systematic investigation, on-target testing and a strong understanding of the underlying technology.
• You understand ROS2 or similar middleware, distributed-system integration and the practical realities of vehicle bring-up.
• You have raised the technical capability of a team through mentoring, design reviews and engineering standards.
• You can influence technical decisions across teams and work with engineering management to connect architecture, delivery priorities and long-term investment.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

Here's what this particular role covers. Safety System Engineer

At Wayve, we are developing AV2.0: an end-to-end AI driving system designed to learn and adapt across a wide range of driving environments, with the ambition to scale autonomy globally. Our Safety team tackles one of the most important and complex challenges in that mission - assuring the safety of our Automated Driving System (ADS) as it evolves across vehicle platforms, applications and operating environments. You will help design and orchestrate the safety assurance framework that makes this possible.

Your day-to-day You will lead functional safety activities for Wayve's ADS and its integration into current and future vehicle platforms, as well as third-party safety-critical systems. Working closely with internal engineering teams, external partners and other safety experts, you will build a deep understanding of the system, assess risk, shape the safety concept and architecture, define verification and validation, and develop the evidence needed to support a robust safety case.

What you’ll be working on:

• Build and maintain Item Definition work products for each vehicle platform and safety-critical integration.
• Conduct HARAs, FMEAs and FTAs to identify risk and define safety concepts that reduce risk to an acceptable level.
• Work with design teams on system architectures that satisfy the safety concept, including decomposition decisions and derived software and external requirements.
• Support software teams in implementing safety requirements on target hardware.
• Define test specifications across integration levels, including vehicle-level verification and validation of the safety concept.
• Build structured safety cases using clear claims, arguments and evidence.
• Contribute to production safety work products and evolve safety processes with process and compliance teams for certification activities.

You should apply if:

• You have at least 5 years of hands-on automotive functional safety experience applying ISO 26262 across different systems, with strong working knowledge of Parts 3, 4, 5, 6, 8 and 9.
• You have conducted vehicle-level testing at proving grounds to verify and validate safety concepts.
• You are experienced in risk analysis and safety engineering techniques such as HARA, FMEA and FTA, and can translate findings into practical safety concepts, architectures and requirements.
• You can work effectively across software, hardware, systems and external partners, and are comfortable debating safety-related trade-offs at different levels of the organisation.
• You are pragmatic in balancing risk and benefit, especially in a fast-moving development environment, while maintaining high safety standards.
• You are a self-starter who can move between long-term, high-level safety thinking and detailed subsystem or application-level problem solving, and you are confident challenging ideas while remaining open to constructive feedback.

Nice to have

• Practical experience with ISO 26262 Part 6, including production software development and software-tool qualification.
• Experience managing suppliers of safety-related hardware or software, including DIA definition, supplier audits and assessments.
• Experience developing safety cases for automated driving systems, including computer-vision-based systems, and enough knowledge of neural networks to discuss safety assurance approaches with scientists and engineers.
• Experience with SOTIF, including identifying triggering conditions and defining testing and validation strategies.
• Operational safety experience, including identifying operational risks and defining training or procedures for safe public-road testing.

Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.

More about Wayve: Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency.

How we work Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.

The Interview Process: Our process is clear and respectful of your time:

• Initial call / recruiter screen (30 mins)
• Hiring manager and competency interview focused on your functional safety experience and approach
• Deep-dive technical interviews covering functional safety, system safety and domain-specific problem solving
• Final interview: mission & values alignment

What’s in it for you (Location dependant):

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more.

Job Data by YubHub.

You will implement and iterate filtering, retention and offload policies across hot, cold, archive and delete storage. You will build the data movement and pipelines that our pre-ingestion selection model depends on. You will decide where and how selection models run, balancing compute cost against data value.

Responsibilities:

• Implement and iterate filtering, retention and offload policies across hot, cold, archive and delete storage
• Build the data movement and pipelines that our pre-ingestion selection model depends on
• Decide where and how selection models run, balancing compute cost against data value
• Build early, low-compute decision points that avoid expensive standardisation and enrichment of low-value data
• Work with the storage and data infra teams, and monitor data quality to make sure our datasets reflect what model training needs

Requirements:

• You’re a senior data or software engineer who has run data ingestion or data quality pipelines at petabyte scale
• You’re strong in Python and Spark, with cloud data engineering experience
• You have good judgement on data filtering and quality, and know how to check you haven’t discarded valuable data
• You ship practical solutions quickly and are comfortable iterating on live systems
• You’re a software engineer at heart, building the systems around models rather than the models themselves

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partner discounts and more

Job Data by YubHub.

Responsibilities:

• Lead a team of engineers based in London, working alongside the Runtime Platform, OS, Sensors and Platform Integration teams in Robot Software.
• Grow the platform: Take the development platform from its first stable release to a product used across many vehicle types, with predictable releases and validation in CI and on HIL benches.
• Experiment control and fleet orchestration: Own model and controller download, the robot state machine, and over-the-air deployment of software, configuration and calibration.
• Self-serve experimentation: Make the platform self-serve, so research teams can run their own experiments on vehicles without waiting for platform changes.
• Scaling data collection: Onboard and event-based logging, data quality, and data offload over New vehicles and OEM integrations: Deploy the full platform on Wayve's next-generation vehicles, and support new OEM integrations through configuration rather than new releases.
• Building the operating model around the platform: Releases, support rota, on-call, metrics and observability.
• Building the team: Own hiring and onboarding, and grow the team as adoption of the platform expands.

Requirements:

• You've managed software engineering teams, including hiring, coaching and performance management.
• You've owned a platform or product that other teams or customers relied on, and shipped it to devices in the field.
• You're technically capable, with hands-on experience in embedded Linux systems software (C++ or Python).
• You understand connected device fleets, such as vehicles, robots or IoT, including data logging and offload, over-the-air updates and observability.
• You're comfortable leading delivery across many stakeholders, including external partners.

Nice to have:

• Experience with autonomous vehicles or robotics, automotive ECUs, Yocto, IPC middleware such as ROS 2 or DDS, or containerised workloads on embedded systems.

What we offer:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

Here's what this particular role covers.

Simulation is a mission-critical part of how we build Wayve's driving intelligence. It lets teams evaluate changes faster, investigate failures and build confidence in the driving stack before it reaches the road.

You'll join the Core Simulation team. Our open-loop and closed-loop workflows share one codebase, with different components configured depending on the use case. You'll start with the team focused on high-scale open-loop evaluation, while contributing to shared components that also underpin GAIA-powered closed-loop simulation, where generative world models are integrated with the driving stack.

Your role is to enable and productionise these capabilities, not primarily to train the models.

Your day-to-day

• Work hands-on in our shared, modern C++ and Python simulation codebase
• Implement scoped features and integrate driving-stack components, simulated robot systems and new vehicle-platform capabilities
• Support and test different simulation configurations, with an initial focus on high-scale open-loop evaluation
• Investigate differences between on-road and simulated execution, tracing issues across component interfaces, data flows, timing and configuration
• Improve automated testing, observability, reproducibility, reliability and developer tooling
• Profile simulator workloads and contribute performance and scalability improvements
• Collaborate with Simulation, Robotics, Autonomy, Evaluation, Platform and Data teams to clarify requirements and resolve integration issues

What you’ll be working on

• Developing and maintaining production-quality components in Wayve's simulation system using modern C++ and Python
• Integrating driving-stack components, simulated robot systems and new vehicle platforms into the shared simulation environment
• Making sure components interact correctly across the simulation workflows they support
• Finding the root cause of on-road vs. simulation differences across data, inference and simulated components
• Making simulation more reproducible, reliable and debuggable, and faster, so we can run ever larger evaluation workloads efficiently
• Contributing to technical designs and helping evolve the quality and maintainability of the codebase

You should apply if

• You have professional experience developing, delivering and maintaining production software in a collaborative engineering environment
• You have strong software development skills in C++ and Python, with depth in at least one and the ability to work effectively in the other (equal expertise in both isn't required)
• You have experience integrating and debugging components in a complex software system, reasoning across interfaces, data flows, timing and failure modes
• You have relevant experience in simulation (robotics or AV), ideally at the integration level, or in another complex systems domain with clearly transferable challenges
• You have experience integrating and working with ML components (e.g. PyTorch models, CUDA, QNN)
• You have strong software engineering fundamentals: testing, maintainability, code review, observability and pragmatic design
• You understand software performance issues and use profiling or measurement to guide improvements
• You use GenAI development tools (coding assistants or agents) to boost productivity, while carefully reviewing, testing and validating their output
• You communicate and collaborate well, deliver scoped work independently and raise blockers early

Nice to have:

• Experience with middleware or integrating components across complex software systems
• Experience with sensor data such as camera, radar, lidar or GNSS, including modelling uncertainty or noise
• Experience with performance profiling, observability or debugging distributed systems
• Familiarity with large-scale batch processing, cloud infrastructure or GPU-based workloads
• Exposure to world models, NeRF, Gaussian splatting or learned graphics

Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, we encourage you to apply even if you don't meet every requirement.

More about Wayve: Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale.

How we work

• Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely.

What's in it for you

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

About our AI Platform Team Our AI Platform teams build the foundations that enable Wayve's machine learning engineers and researchers to train, evaluate and deploy models at scale. Within the AI Libraries team, you'll create high-quality platforms, tools and reusable abstractions that support thousands of GPUs and help accelerate the development of our autonomous-driving technology.

Your day-to-day You'll work closely with machine learning teams to understand their workflows and turn complex requirements into stable, scalable and intuitive software. You'll spend much of your time designing and writing Python, leading projects from discovery through delivery, improving engineering standards and supporting users as they push the scale and performance of their models.

What you'll be working on You'll build modular libraries for areas such as multimodal data loading, distributed training and inference, checkpointing and observability. You'll improve the reliability, performance and developer experience of systems used across Wayve, helping teams train models efficiently on large GPU clusters and work with camera, radar, lidar and other data sources.

You should apply if You have deep Python expertise and a proven track record of leading the design, delivery and long-term evolution of high-quality software systems at scale. You can turn complex requirements across ML teams into stable, reusable libraries and clear APIs, set technical direction, and raise the bar for software architecture, testing and observability. You remain hands-on while guiding other engineers and driving projects end to end, from shaping requirements through to adoption and maintenance. Experience with concurrent, parallel or distributed computing is important; familiarity with ML frameworks such as PyTorch or TensorFlow and cloud environments,ideally Azure,is highly valuable.

This is a Staff-level software and platform engineering role, not an ML modelling position.

Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, we encourage you to apply even if you don't meet every requirement.

More about Wayve: Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale.

How we work Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely.

What's in it for you (Location dependant):

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

Responsibilities:

• Lead a hands-on, multi-quarter storage programme, from defining the problems and architecture to delivering platforms that teams adopt.
• Build production services, controllers and infrastructure using Python, Go or a similar language, alongside Kubernetes and Terraform.
• Partner with ML and data teams to understand access patterns, remove storage bottlenecks and reduce the time GPUs spend waiting for data.
• Work with Security and Privacy to strengthen access controls, auditing and safe deletion of vehicle-collected data.
• Write design documents and RFCs, align teams around shared standards, and mentor engineers as the platform and team grow.

What you’ll be working on:

• Data ownership and governance: Give datasets clear owners, purposes and retention classes, with tagging and team-level cost attribution.
• Safe lifecycle management: Build retention, deletion and re-tiering capabilities for Azure Blob, backed by dry runs, audit trails and recovery paths.
• Read performance and caching: Improve throughput and latency by tackling small-object reads, throttling, unnecessary data access and cross-region hops.
• Secure data movement: Design Kubernetes-native NVMe caching and secure replication across regions and clouds.
• Measurable platform outcomes: Establish standards, dashboards and SLOs for availability, performance, cache effectiveness, storage tiers and cost.

Requirements:

• You’ve operated at Staff Engineer scope, leading complex infrastructure programmes across multiple teams from problem definition through adoption.
• You’ve owned petabyte-scale object storage end to end,including data layout, lifecycle management, performance and cost,with measurable outcomes against a cost target.
• You’ve built scalable systems for data ownership, tagging, cataloguing, retention or deletion.
• You bring strong security and access-management experience, including IAM/RBAC, encryption, secure replication and auditing.
• You’re a hands-on software engineer with strong Python, Go or comparable skills, plus production Kubernetes, Terraform and CI experience.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

You’ll develop the software that connects our AI Driver to a vehicle’s steering, braking and propulsion systems. This combines embedded software development with hands-on work on benches and vehicles, understanding how each platform behaves and making sure its drive-by-wire interface operates safely and reliably.

Responsibilities:

• Develop and debug embedded software using MATLAB/Simulink, including flashing, configuration and calibration of vehicle controllers.
• Work with OEMs and drive-by-wire suppliers to understand vehicle interfaces, define requirements and resolve integration issues.
• Develop new drive-by-wire capabilities, including OTA updates, ADAS interfaces and HMI support.
• Test changes in simulation, on benches and in vehicles, and build automated testing suites to validate functionality and catch regressions.
• Investigate vehicle faults and unexpected behaviour using logs, telemetry and vehicle network traces.
• Work with colleagues across software, hardware and controls, and help technicians diagnose drive-by-wire issues.

Requirements:

• Experience developing embedded software for automotive or robotics systems, including MATLAB/Simulink.
• Experience working directly with embedded hardware or vehicle ECUs, including flashing, calibration and debugging.
• Knowledge of automotive engineering, including vehicle actuation systems and the interaction between software, controllers and hardware.
• Understanding of CAN and CAN-FD, and experience using tools such as CANoe or CANalyzer to analyse communication and diagnose issues.
• Knowledge of functional safety and experience applying it to software design, fault handling and validation.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

The Role

The Field Engineer is a hands-on technical contributor responsible for diagnosing and resolving vehicle software and hardware issues to keep the fleet operational. You will play a critical role in rapid fault triage, ensuring a 5-minute response time while strictly adhering to safety protocols. Working closely with fellow engineers and global teams, you’ll contribute to seamless operations through effective communication and problem-solving.

Key Responsibilities

• Perform on-site fault triage and resolution, diagnosing and repairing vehicle software and hardware issues quickly to maintain fleet uptime.
• Follow structured fault diagnosis and repair protocols, ensuring all work is carried out efficiently and in alignment with operational workflows.
• Collaborate with fellow field engineers and cross-functional teams to troubleshoot and resolve technical issues effectively.
• Respond rapidly to issues, meeting the 5-minute issue response to keep vehicles operational and our teams feeling adequately supported.
• Maintain clear communication with the Field Engineering Lead, providing updates on ongoing repairs and ensuring smooth handovers across geographical locations.
• Participate in on-call rotations, assisting with technical support and issue resolution across multiple regions as part of a 24/7 global support network.
• Adhere to strict safety and compliance protocols, ensuring all fault triage, diagnosis, and repairs follow the correct procedures and approvals.
• Contribute to continuous improvement efforts, identifying operational challenges and providing feedback to optimize field engineering support and efficiency.

About You

• Technical Expertise – Strong understanding of vehicle diagnostics, software and hardware fault triage, and repair processes. Experience in fleet operations, automotive systems, or ADAS technology is a plus.
• Problem-Solving & Efficiency – Ability to troubleshoot and resolve technical issues quickly, meeting strict SLAs (5-minute response time) to keep vehicles operational.
• Communication & Collaboration – Capable of working closely with global teams, providing clear technical updates, and ensuring smooth handovers across locations.
• Safety & Compliance – Deep understanding of safety protocols, incident management, and adherence to operational procedures to ensure secure and effective repairs.
• Adaptability & Flexibility – Comfortable working in a fast-paced, evolving environment, including participation in on-call rotations and weekend coverage as needed.
• Technical Tools & Platforms – Familiarity with diagnostic tools, software monitoring platforms (e.g., Datadog, Mender), and ticketing systems like JIRA.

Benefits

• The reasonably estimated salary for this role ranges from $90,000 to $103,000, plus a competitive equity package.
• Meaningful equity, sharing in the ownership and long-term success of Wayve.
• Learning and development budgets with support for training, conferences, and growth.
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials, and more.

Job Data by YubHub.

As a Staff Software Engineer on the Model Development Platform, you'll own the architecture of the cloud services that power Wayve's AI model lifecycle, from data and training workflows to experiment scheduling, evaluation and on-road testing. You'll build the secure, reliable and scalable foundations (identity and access, microservices, micro-frontends, deployment and rollback) that let researchers and engineers iterate fast and ship autonomous driving models safely.

Working with the Head of Model Dev Platform and fellow technical leads, you'll shape the technical direction for your area and align platform engineering with company goals. You'll lead by example: staying hands-on across backend services, web applications and cloud infrastructure, and raising the bar through design reviews and mentorship.

Your responsibilities include:

• Designing and evolving the architecture of major platform services for reliability, observability, security and scalability.
• Owning the identity, access control and auditability layer across platform services and applications.
• Defining the patterns, boundaries and shared tooling for backend microservices and micro-frontends.
• Building robust CI/CD, progressive delivery and fast, safe rollback infrastructure.
• Taking significant services and multi-quarter initiatives from problem definition and design through to production operation.
• Providing cross-team technical leadership and connecting your area with adjacent disciplines.
• Tackling the hardest technical challenges in your subteams with pragmatic solutions.
• Partnering with Product, Research, Design and Operations to align technical solutions with user needs.

Requirements:

• 7+ years designing and building large-scale distributed systems, cloud platforms or developer platforms, including at senior or staff level.
• Proven ability to design and operate scalable microservice architectures on a major cloud provider.
• Hands-on experience implementing authentication and authorization with sound security practices.
• Experience driving reliability improvements, defining SLAs/SLOs, and building observable, self-healing, highly available systems.
• Ability to write and review production-quality code in languages such as Python or TypeScript.
• A track record of taking significant services from design through deployment and production operation.
• Excellent communication and cross-functional skills, with a track record of mentoring engineers.

Nice to have:

• Experience building internal developer platforms, workflow systems or tools for ML researchers and engineers.
• Familiarity with ML operations, such as training, evaluation, experiment tracking and artifact management.
• Experience with data pipelines, distributed job orchestration, event-driven architectures or large-scale compute.
• Experience with service mesh, API gateways, or feature-flagging and progressive-delivery tooling.
• Knowledge of privacy, compliance and secure handling of sensitive or large-scale data.
• Experience in autonomous systems, robotics, simulation or another safety-critical domain.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

As a Shift Lead, you will be a frontline operational leader responsible for the safe, efficient, and high-performing execution of Wayve's autonomous driving operations in Japan. You will ensure daily operations are conducted with the highest levels of safety and efficiency, and play a crucial role in fostering an inclusive working environment where Vehicle Safety Operators (VSOs) feel their ideas are valued and can voice safety concerns without fear.

Your main responsibilities will include:

• Leading and supporting a growing team of VSOs during live testing operations
• Managing shift execution across active fleet operations
• Coordinating people, vehicles, schedules, and priorities in real time
• Line managing a group of VSOs working across a rostered shift pattern
• Acting as an operational point of contact for selected OEM and partner activities
• Ensuring all operations comply with company policies and legal regulations
• Supporting high-quality data collection and testing execution
• Making real-time operational decisions in fast-moving environments
• Serving as the operational lead during shift hours
• Maintaining accurate operational reporting and incident documentation
• Coordinating individual and collective training and development events
• Identifying opportunities to improve operational processes

You should apply if:

• You're fluent in English and Japanese
• You stay calm, decisive, and professional in fast-paced operational environments
• You're open to feedback and continuously seek to improve your performance and leadership skills
• You enjoy working with people and thrive in a team environment
• You have proven experience as a team coordinator or similar role in fast-moving environments
• You have strong communication and stakeholder management skills
• You can work under pressure and manage multiple priorities
• You're proficient in Google Workspace or Microsoft Office

Job Data by YubHub.

The Robotics team is responsible for bridging the gap from our model to our vehicle platforms, in order to let the model focus on making driving decisions.

Your day-to-day

• Define and evolve the technical architecture and roadmap for Wayve's LiDAR and cross-sensor 3D sensing capabilities, aligned with product and vehicle-programme requirements.
• Lead the development of target-based and targetless LiDAR calibration and registration methods, including LiDAR-to-camera alignment using geometric and learned approaches.
• Develop robust temporal alignment and motion compensation methods using techniques such as LiDAR odometry, nonlinear least-squares optimisation and factor graphs.
• Establish evaluation methodologies and productionise reliable, scalable 3D sensing systems that operate across diverse vehicles, environments and sensor configurations.
• Work with engineering and research teams to deliver end-to-end 3D sensing capabilities, while providing technical leadership and mentorship to other engineers.

What you'll be working on: Leading the technical development of our LiDAR and cross-sensor 3D sensing capabilities. You will own the systems used to calibrate, synchronise and align LiDARs with cameras and other vehicle sensors, enabling accurate and reliable 3D data for perception, reconstruction and ground-truth generation.

You should apply if you have:

• Significant experience developing robotics or autonomous-driving systems involving LiDAR, cameras and 3D sensor data.
• Strong experience with target-based or targetless sensor calibration and registration, including LiDAR-to-camera alignment.
• Strong understanding of 3D geometry, state estimation and optimisation techniques, including nonlinear least-squares methods or factor graphs.
• Experience accounting for sensor timing and motion effects, such as time synchronisation, LiDAR sweep distortion, rolling-shutter cameras and motion compensation.
• Strong software-engineering skills in C++ and/or Python, with experience taking robotics algorithms from prototype through evaluation and production deployment.
• Experience defining evaluation methodologies, datasets and metrics for assessing calibration, registration and 3D sensing quality across real-world conditions.
• Demonstrated technical leadership, including setting technical direction, solving ambiguous cross-functional problems and mentoring other engineers.

Desirable

• Experience with LiDAR odometry, SLAM or mapping systems, including LiDAR motion compensation and deskewing.
• Experience with metric-depth foundation models and their application to calibration, registration or 3D reconstruction.
• Familiarity with learned feature correspondences, cross-modal registration, Gaussian splatting or other emerging 3D representations.
• Experience handling dynamic scenes using object detection, motion segmentation or tracking methods.
• Practical experience with optimisation libraries such as GTSAM, Ceres Solver or g2o.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

About our Robotics Team

The Robotics team is responsible for bridging the gap from our model to our vehicle platforms, in order to let the model focus on making driving decisions. We aim to provide high quality data to the model for making such decisions, whilst abstracting away platform-specific aspects.

Your day-to-day

• Define and evolve the technical architecture and roadmap for Wayve’s onboard localisation capability, aligned with vehicle programmes and product requirements.
• Lead the development of robust state-estimation systems that fuse GNSS, IMU and wheel-odometry signals, with scope to incorporate camera-, RADAR- and LiDAR-based measurements.
• Take localisation solutions from algorithm design and prototyping through production implementation and deployment on real-time vehicle platforms, including robust fault handling and degraded-mode behaviour.
• Develop rigorous validation and benchmarking capabilities, including representative datasets, ground-truth comparisons, performance metrics and regression testing across diverse vehicles, environments and operating conditions.
• Provide hands-on technical leadership and mentorship, working across robotics, calibration, controls, sensors and vehicle-platform teams to drive integration and resolve complex system-level issues.

What you’ll be working on:

Leading the technical development of our onboard localisation capability. You will design and productionise state-estimation systems that combine GNSS, IMU and wheel odometry to provide accurate, reliable vehicle motion and pose estimates across diverse vehicles, environments and operating conditions.

Requirements

Essential

• Deep practical expertise in localisation, state estimation or sensor fusion, with experience combining GNSS, IMU and wheel-odometry measurements.
• Strong understanding of filtering-based estimation methods, including Kalman-family filters such as the EKF or UKF, and nonlinear optimisation approaches such as factor graphs.
• Experience developing and operating localisation or state-estimation systems in production robotics, autonomous vehicles or comparable real-time systems.
• Strong modern C++ software-engineering skills and proficiency in Python for prototyping, analysis, validation and test tooling.
• Experience designing rigorous localisation validation and benchmarking, including accuracy metrics, uncertainty evaluation, ground-truth comparison, regression testing and failure analysis.
• Evidence of hands-on technical leadership, including defining architecture, influencing technical roadmaps, mentoring engineers and collaborating effectively across multiple teams.

Desirable

• Experience incorporating camera-, LiDAR- or RADAR-based measurements into localisation and sensor-fusion systems, including visual, LiDAR or RADAR odometry.
• Hands-on experience with nonlinear optimisation and robotics libraries such as GTSAM, Ceres or g2o.
• Familiarity with automotive software-development practices and coding standards, including MISRA C++.
• Experience deploying state-estimation software on embedded or resource-constrained platforms with real-time compute, memory and latency requirements.
• Experience developing high-quality ground truth, benchmarks and validation evidence for localisation or other state-estimation systems.
• Familiarity with relevant robotics tooling and libraries such as ROS, Eigen, OpenCV, PCL or CUDA.
• MS or PhD in Robotics, Computer Science, Electrical Engineering or a related field, or equivalent practical experience.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

The role is on the critical path to the financial success of the business. You are responsible for taking AI model backbones and delivering an autonomous vehicle capability roadmap with production-level quality.

Key responsibilities:

• Define and own the technical vision, strategy and metrics for your area
• Frame autonomous driving as a problem that can be solved by data
• Drive an eval-driven culture to reach KPI targets
• Partner with the senior leadership team to maintain a culture of impact, performance, and health
• Build technical capabilities across the division and develop talented engineers

Requirements:

• Experience delivering successful Autonomy products that rely on complex AI models
• Management experience leading complex teams
• Domain skills in autonomy products – autopilot/navigation, active safety, parking
• Product delivery skills: roadmap articulation, interface with leadership & business functions
• Execution skills: resource allocation, program planning and execution
• Engineering skills: code development practices, testing, serviceability

We offer:

• Salaries benchmarked against the market annually
• Meaningful equity
• Relocation support and visa sponsorship
• Hybrid working
• Learning and development budgets
• Comprehensive benefits

Job Data by YubHub.

The Driving Product team owns Wayve's core end to end driving model, the algorithm that directly shapes how our vehicles behave on the road. This model already underpins production agreements with Nissan and Mercedes, with further OEM partnerships in the works.

Your day-to-day:

• Lead the team iterating on L2 driving performance, balancing hands-on technical work with team leadership
• Diagnose the highest impact issues seen on the road, root cause them, and resolve them through data and model iteration
• Own changes to data recipes, model architecture, evaluation and release readiness for the driving model
• Partner with other teams to resolve cross-functional issues, including model and vehicle interface problems
• Act as one of the team's key hands-on developers, writing code and running experiments alongside directing the team's priorities

What you'll be working on:

• The end to end driving model that powers Wayve's L2 product and sits at the centre of our OEM partnerships with Nissan and Mercedes
• Scaling the driving model's performance across different geographies and vehicle platforms while hitting performance and compliance KPIs
• Data led iteration cycles: using on road and off road evaluation to identify the biggest performance gaps and close them
• Cross-functional resolution of model and vehicle interface issues, working with specialists across the business
• Growing and shaping a small, high impact team as the driving model programme scales

You should apply if:

• You're highly technical and hands-on, comfortable writing Python and doing model and data iteration yourself
• You've delivered deployed, production ML models, ideally in robotics or autonomous vehicles
• Alternatively, you've productionised ML models at another company and have experience delivering incremental improvements to a live system over time
• Your experience is production focused rather than primarily research or early stage exploration

About Wayve: Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable

Job Data by YubHub.

About our Robotics Team

The Robotics team is responsible for bridging the gap from our model to our vehicle platforms, in order to let the model focus on making driving decisions. We aim to provide high quality data to the model for making such decisions, whilst abstracting away platform-specific aspects.

Your day-to-day

• Define the technical architecture and roadmap for Wayve’s offline 3D reconstruction system.
• Lead the development of MVPs that unblock high-priority internal use cases, while guiding the transition to a robust internal platform.
• Establish the core technical interfaces, output representations, and tools needed to support internal customers.
• Partner with calibration, sensor fusion, perception, data, infrastructure, and validation teams to align requirements, resources and ownership boundaries.
• Set technical standards for reconstruction quality, failure analysis, uncertainty measurement, and dataset suitability and execute strategies to validate them.
• Mentor and provide technical leadership to engineers contributing to the 3D reconstruction effort.
• Communicate technical tradeoffs, limitations, and progress clearly to engineering leaders and cross-functional stakeholders.

What you’ll be working on:

Leading the development of an offline 3D reconstruction capability that builds high-quality 3D world geometry from vehicle sensor data in dynamic scenes. The system will draw on localization and mapping, state estimation, and sensor fusion to produce offline 3D geometric reconstructions and best-estimate ego motion from heterogeneous vehicle platforms and sensor suites. The work will support internal validation, data enrichment, and model development by turning raw sensor data into reliable, quality-assessed 3D ground-truth outputs.

Requirements

• Deep technical expertise in SLAM, 3D reconstruction, mapping, state estimation, or closely related robotics/perception fields.
• Strong hands-on experience with lidar-based reconstruction, point-cloud registration, pose estimation, and real-world robotics sensor data.
• Experience building offline reconstruction, mapping, or perception systems that operate on large volumes of sensor data.
• Strong software engineering skills in C++, Python, or similar robotics/perception environments.
• Experience taking research or prototype algorithms into reliable production systems.
• Comfortable defining technical strategy, roadmaps, and milestones in ambiguous problem spaces.
• Strong cross-functional technical leadership in ambiguous, multi-team environments.
• Clear communication of algorithmic tradeoffs, limitations, confidence, and failure modes to technical and cross functional stakeholders.

Desired Skills

• MS/PhD in Robotics, Computer Science, State Estimation, Sensor Fusion, SLAM, 3D Reconstruction, or a related technical field; or equivalent practical experience.
• Experience with autonomous vehicles, robotics, mapping, or ground-truth data pipelines in a production setting.
• Experience with GNSS/INS fusion, sensor based odometry, or other high-accuracy position estimation approaches.
• Experience with nonlinear optimization techniques such as pose graph optimization, factor graphs, bundle adjustment, ICP etc.
• Experience applying modern machine learning approaches to 3D reconstruction, mapping, or scene understanding, including foundation models or learned 3D representations.
• Familiarity with robotics tooling such as ROS, PCL, OpenCV, CUDA, or similar.
• Familiarity with ML data enrichment, autolabelling, annotation workflows, or validation-data generation.
• Experience designing quality metrics, validation evidence, or credibility arguments for reconstructed data.
• Experience leading small expert technical teams from early-stage concept to production use.

Benefits

• Salaries benchmarked against the market annually.
• Meaningful equity, sharing in the ownership and long term success of Wayve.
• Relocation support and visa sponsorship where applicable.
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs.
• Learning and development budgets with support for training, conferences and growth.
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more.

Job Data by YubHub.

About our Driving Product Team

The Driving team owns Wayve's core end-to-end driving model, which directly shapes how our vehicles behave on the road. We take the backbone models and build the driving heads on top, and ship them into vehicles. That makes us the team closest to production.

Your day-to-day

• Lead a small team (up to five people) iterating on Robotaxi driving performance, balancing hands-on technical work with people leadership
• Diagnose the highest-impact issues seen on the road, find their root causes and resolve them through data and model iteration
• Own changes to data recipes, model architecture, evaluation and release readiness for the driving model
• Partner with other teams to resolve cross-functional issues, including model and vehicle interface problems
• Be one of the team's key hands-on developers, writing code and running experiments while setting the team's priorities

What you’ll be working on

• The end-to-end driving model that powers Wayve's Robotaxi product as it launches around the world
• Scaling driving performance across cities and vehicle platforms while hitting performance and compliance KPIs
• Data-led iteration: using on-road and off-road evaluation to find the biggest performance gaps and close them
• Working with specialists across the business to resolve model and vehicle interface issues
• Growing and shaping a small, high-impact team as the Robotaxi programme scales

Requirements

• You've managed engineers before and want to lead a team while staying deeply technical. This is a Tech Lead Manager role, not a pure management role
• You're highly technical and hands-on: comfortable writing Python and doing model and data iteration yourself, not just directing others
• You've delivered deployed, production ML models, or productionized ML at another company and improved a live system step by step over time
• Your experience is focused on production rather than mainly on research or early-stage exploration

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

About our Product Team

Our Product team works at the intersection of AI research, engineering and customer needs to shape the future of autonomous driving at Wayve. We define product direction, translate complex technical capabilities into clear roadmaps, and bring cross-functional teams together to turn research into products that deliver real-world impact.

Responsibilities

• Champion our customers, bringing a consumer mindset to complex technical decisions and keeping the user experience central to product definition, prioritisation and delivery.
• Work closely with R&D, design, system architects, software developers, safety, validation and commercial teams to align priorities, resolve trade-offs and deliver safe and delightful customer experiences.
• Support verification and validation activities, helping teams assess features against product requirements and the intended customer experience.
• Act as the product lead in internal reviews and external engagements, aligning OEMs, operational partners and other stakeholders on product direction and delivery.
• Stay current with global autonomous driving trends, regulatory developments and competitors, using these insights to inform product decisions.

What you'll be working on:

• Defining and owning the product roadmap for Level 4 autonomous driving features, aligning company strategy, customer needs and regulatory frameworks.
• Taking full end-to-end ownership of key product initiatives, from concept definition through development, implementation, validation and deployment in production.
• Translating Wayve’s AV2.0-based approach, particularly embodied AI and end-to-end learning, into scalable, reliable, market-ready features and capabilities.
• Shaping how people interact with embodied AI, working at the intersection of consumer products and deep technology to make autonomous driving experiences user-centric.

Requirements

• You have a proven track record in technical product management, shipping products with a consumer mindset in a highly technical domain.
• You bring a strong technical background in AI/ML, software engineering, robotics or a related discipline.
• You communicate clearly in writing and in conversation, with a demonstrated ability to work effectively across cross-functional teams.
• You’re comfortable working in fast-paced, iterative environments and can adapt as priorities evolve.
• You hold a bachelor’s or master’s degree in engineering, computer science or a related field.

Nice to Have

• Ideally, you’ve owned the end-to-end delivery of autonomous driving features, partnering with engineering, systems, safety and validation teams.
• An understanding of human-machine interaction (HMI), user experience (UX) or the broader robotaxi product would be valuable.
• Knowledge of generative AI techniques, large language models (LLMs) or Software 2.0 methods applied to autonomous driving or large-scale simulation would also be a plus.
• An analytical, data-driven approach to product decisions would be valuable.

Benefits

• Salaries benchmarked against the market annually
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

We're looking for an exceptional leader to spearhead our new Application Engineering team, a self-sufficient and high-impact group focused on localising and advancing our autonomous driving technology for the US market.

As a founding manager, you'll lead a small but mighty team of engineers working across robotics, machine learning, and systems integration.

Responsibilities

• Build and lead a self-sufficient AV development team in the US, hiring and mentoring top talent across Robotics and ML.
• Deliver autonomy capabilities tailored to road conditions and driving norms, in close collaboration with central Autonomy teams.
• Drive full-cycle development: from identifying local autonomy needs, to designing, implementing, testing, and deploying features into production.
• Ensure the team upholds Wayve's high engineering standards, while operating with agility and independence.
• Work closely with OEM partners in the US , representing Wayve's autonomy team in technical discussions, capturing product requirements, and shaping joint development plans.
• Establish close working relationships with our product and vehicle operations teams in the US.

Requirements

• A strong background in robotics and autonomy, with experience building and deploying systems that operate in real-world environments.
• Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.
• Comfortable with ambiguity: you can define goals, carve out roadmaps, and deliver high-impact work with minimal supervision.
• Broad technical fluency: capable of reviewing and guiding work across software engineering, ML, controls, and systems integration.
• Excellent communication skills: you're able to clearly convey technical context and strategic vision across cultures and time zones.
• Strong product sense and stakeholder management skills: you're comfortable interfacing directly with OEM customers and representing engineering in external-facing conversations.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

The Robotics team is responsible for bridging the gap from our model to our vehicle platforms, in order to let the model focus on making driving decisions. We aim to provide high quality data to the model for making such decisions, whilst abstracting away platform-specific aspects.

Your day-to-day:

• Develop, integrate, tune, and validate control, trajectory-generation, and action-processing algorithms across different vehicle platforms, operating modes, and challenging driving conditions, ensuring robust real-world performance
• Maintain and evolve our controls software architecture that connects AI Driver outputs to real-time vehicle actuation and feedback
• Implement and maintain production-quality, latency-sensitive control software in C++ for deployment to prototype, reference and production vehicles
• Use simulation, closed-loop evaluation and on-road testing to characterize controller behaviour, diagnose performance issues and validate improvements
• Work with teams across Wayve to define controller interfaces, integrate with adjacent systems and enable new vehicle platforms and product features

In this role you will develop and improve the vehicle trajectory and motion controllers that translate the Wayve AI Driver outputs into safe, smooth and robust vehicle motion across different vehicle platforms and applications (both ADAS and AV).

You should apply if you have:

• Strong fundamentals in control theory, with depth in one or more of optimization, model-predictive control, numerical methods or dynamical systems
• Practical experience developing, tuning and validating control or motion systems on real world physical systems
• Strong software engineering skills, with experience building reliable production-quality systems in C++
• Experience with latency-sensitive or real-time software
• Ability to reason about and debug system-level behaviour in complex robotic systems across software and hardware
• Applied experience with model predictive control, trajectory optimization, motion planning etc.
• Direct experience with mobile robotics or autonomous vehicle systems
• Experience in the automotive industry, including ADAS or vehicle controls
• Experience with safety-critical systems, validation, and relevant industry standards (e.g. ISO 26262)
• Applied machine learning experience, or experience developing systems that integrate with ML components

Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale.

What’s in it for you (Location dependant):

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

As VP, Engineering, Robotaxi, you will lead the engineering organisation responsible for taking our Robotaxi product from development through deployment and scale. The challenge is inherently multidisciplinary. Delivering a Robotaxi requires bringing together AI, onboard software, vehicle systems, sensors and compute, safety, validation, simulation and fleet operations into one coherent system.

You will own the engineering strategy and execution for Wayve's Robotaxi program, working closely with leaders across AI, Product, Validation, Vehicle Engineering and Operations. You will set clear technical priorities for the organisation and ensure teams are solving the right problems in the right order as we move towards increasingly capable driverless operation.

A major part of the role is systems leadership. You will work across the complete autonomous vehicle, understanding how AI behaviour, onboard software, compute, sensors, vehicle interfaces, safety systems and operational infrastructure come together to determine real-world performance.

You will lead and develop senior engineering leaders, create clear ownership across the organisation and build the technical and operating mechanisms required to execute at speed. You'll also spend significant time close to the product itself, using real-world vehicle performance, testing and data to understand where the system needs to improve and helping teams turn those insights into engineering priorities.

Responsibilities:

• L4 Robotaxi engineering: Own the engineering roadmap and execution required to develop and deploy Wayve's Level 4 Robotaxi product.
• End-to-end system leadership: Bring together AI, software, hardware, vehicle systems, validation and operations into a complete autonomous system.
• Driver-out readiness: Drive the engineering work required to progressively remove the safety driver, building confidence through rigorous development, validation and evidence.
• On-vehicle systems: Lead the development and integration of the software and systems that sit between Wayve's AI Driver and the physical vehicle.
• Safety and reliability: Work closely with Validation, Safety and Engineering teams to build the technical systems and evidence required for safe driverless deployment.
• Real-world performance: Establish tight feedback loops between fleet behaviour, engineering development, validation and release so that what happens on the road directly informs what we build next.
• Technical architecture: Make and influence critical architectural decisions across a complex combination of AI, software, compute, sensors and vehicle systems.
• Engineering execution: Turn ambitious technical goals into clear priorities, ownership and milestones while maintaining a high engineering bar.
• Organisation building: Build, lead and develop a world-class engineering organisation, including senior engineering leaders and deeply technical individual contributors.
• Cross-functional leadership: Partner closely with Wayve's AI, Product, Validation, Application Engineering and Operations organisations to deliver the complete Robotaxi product.

Requirements:

• You have led a significant engineering organisation building autonomous vehicles, robotics or another complex real-world autonomous system.
• You have experience developing and deploying safety-critical software and hardware systems in the physical world, rather than purely cloud or consumer software products.
• You have strong technical depth across complex software systems and can operate credibly with senior engineers across AI, embedded software, systems and hardware.
• You understand the challenges involved in taking autonomous technology from development and testing into real-world, production-grade operation.
• You have experience owning a complex product or system end-to-end, rather than leading only one narrow component of the technology stack.
• You have demonstrated strong systems thinking, with the ability to reason across software, hardware, vehicle behaviour, safety, reliability and operational constraints.
• You have built and led large, high-performing engineering organisations and have experience leading senior managers, directors and technical leaders.
• You can combine long-term technical strategy with execution, making difficult prioritisation and architectural decisions while keeping teams moving quickly.
• You are comfortable operating in ambiguity and taking accountability for outcomes where there isn't an established playbook.
• You care deeply about engineering quality, but know how to balance technical excellence with the urgency required to get technology into the real world.
• You are an exceptional cross-functional leader who can bring together teams with very different technical disciplines around a shared outcome.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

As a Lead Technical Program Manager, AI Platform, you will build and lead the technical programme management function supporting our AI Platform organisation.

Your day-to-day:

• Build, coach and support a small, high-impact TPM team
• Act as a trusted delivery partner to AI Platform and Engineering leadership
• Work across ML and research, infrastructure, embedded and on-vehicle engineering teams
• Use KPIs, dashboards and operational reviews to understand delivery progress
• Represent AI Platform in company-level reviews

What you'll be working on:

• Building and scaling the technical programme management function for AI Platform
• Owning planning, prioritisation and execution across the AI Platform roadmap
• Leading flagship programmes across data and compute infrastructure, developer tooling, training technology, compute management, model-development workflows, and embedded and inference optimisation
• Establishing scalable planning cadences, governance, escalation paths and operational practices
• Driving measurable improvements in developer velocity, compute efficiency and cost, training and inference performance, and platform reliability

You should apply if:

• You bring 8+ years of hands-on technical programme management experience across platform, infrastructure, compute, ML infrastructure, developer tooling, training or inference systems
• You build, coach and grow high-performing teams
• You have strong technical depth across ML infrastructure, compute and embedded systems

About Wayve: Wayve is building the leading AI platform for autonomous driving.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity
• Relocation support and visa sponsorship
• Hybrid working
• Learning and development budgets
• Comprehensive benefits

Job Data by YubHub.

As a Distinguished Software Architect at Wayve, you will help define how our software architecture evolves through the next phase of scale. You will work across our onboard software, AI, simulation, training and inference, product engineering and Robotaxi teams, ensuring that the systems we build today can scale across the products, hardware platforms and physical environments we need tomorrow.

Your day-to-day will involve operating across engineering organisations, developing a deep understanding of how our AI, software and physical systems fit together and where architectural decisions in one area impact another. You will work closely with senior engineers and engineering leaders to identify architectural challenges, shape technical direction and lead major changes that span multiple teams.

Key responsibilities include:

• Defining architectural direction across Wayve's software ecosystem as we scale our AI Driver across an increasing number of vehicle platforms and products.
• Creating clear software boundaries, interfaces and abstractions across AI, compute and vehicle systems.
• Leading large architectural changes that span multiple engineering organisations.
• Improving how software is developed, integrated, tested and deployed across different hardware and vehicle platforms.
• Working across onboard software, computer vision, AI, simulation, training and inference, product engineering and Robotaxi systems.
• Helping shape the development platforms and engineering systems that underpin how Wayve builds and deploys physical AI at scale.
• Partnering with teams working with OEMs and Tier 1 suppliers to ensure our architecture can support different production environments, hardware configurations and integrations.
• Acting as a technical decision-maker and tiebreaker on complex architectural decisions.
• Helping establish a strong engineering and design culture for building large-scale, safety-critical AI and robotics systems.

Requirements:

• You've operated as a Principal, Distinguished or equivalent senior individual contributor and have shaped the architecture of large, complex software systems.
• You have a track record of leading significant technical or architectural change across multiple teams or engineering organisations.
• You're an exceptional systems thinker who can understand a broad technical landscape while still going deep where necessary.
• You have experience building systems in computer vision, robotics, physical AI or another domain where sophisticated software and AI interact with the physical world.
• You understand the architectural challenges that emerge when AI models, software, compute and hardware need to operate together as a reliable production system.
• You've built or evolved software platforms that needed to operate reliably across significant scale and complexity.
• You're comfortable making difficult technical trade-offs and can distinguish between what is right for an individual team and what is right for the broader system.
• You can influence senior engineers and engineering leaders through technical credibility rather than organisational authority.
• You care deeply about software design, engineering quality and creating systems that enable other engineers to move faster.
• You can enter unfamiliar technical domains, learn quickly and develop strong technical judgment.
• You combine architectural thinking with a strong bias towards execution and turning technical direction into real engineering change.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

The Field Engineer is a hands-on technical contributor responsible for diagnosing and resolving vehicle software and hardware issues to keep the fleet operational. They will play a critical role in rapid fault triage, ensuring a 5-minute response time while strictly adhering to safety protocols.

Responsibilities:

• Perform on-site fault triage and resolution, diagnosing and repairing vehicle software and hardware issues quickly to maintain fleet uptime.
• Follow structured fault diagnosis and repair protocols, ensuring all work is carried out efficiently and in alignment with operational workflows.
• Collaborate with fellow field engineers and cross-functional teams to troubleshoot and resolve technical issues effectively.
• Respond rapidly to issues, meeting the 5-minute issue response to keep vehicles operational and our teams feeling adequately supported.
• Maintain clear communication with the Field Engineering Lead, providing updates on ongoing repairs and ensuring smooth handovers across geographical locations.
• Participate in on-call rotations, assisting with technical support and issue resolution across multiple regions as part of a 24/7 global support network.
• Adhere to strict safety and compliance protocols, ensuring all fault triage, diagnosis, and repairs follow the correct procedures and approvals.
• Contribute to continuous improvement efforts, identifying operational challenges and providing feedback to optimise field engineering support and efficiency.

Requirements:

• Hold a Japan Driver's License.
• Speak both Japanese (N2 or above) and English (fluency is a must).
• Strong technical expertise , a solid understanding of vehicle diagnostics, software and hardware fault triage, and repair processes. Experience in fleet operations, automotive systems, or ADAS technology is a plus.
• Troubleshoot and resolve technical issues quickly, meeting strict SLAs (5-minute response time) to keep vehicles operational.
• Communicate and collaborate well , capable of working closely with global teams, providing clear technical updates, and ensuring smooth handovers across locations.
• Deep understanding of safety protocols, incident management, and adherence to operational procedures to ensure secure and effective repairs.
• Adaptable and flexible, comfortable in a fast-paced, evolving environment, including on-call rotations and weekend coverage as needed.
• Familiar with diagnostic tools, software monitoring platforms (e.g., Datadog, Mender), and ticketing systems like JIRA.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Learning and development budgets with support for training, conferences, and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials, and more

Job Data by YubHub.

Here's what this particular role covers.

We're looking for a Talent Acquisition Associate to join our Sunnyvale team and support the continued growth of our real-world testing and operations. Our talent team plays a crucial role in building the high-performing Fleet Operations teams that enable us to scale safely and efficiently across North America and beyond.

Your day-to-day

• Manage end-to-end recruitment across high-volume frontline, technical, specialist, and manager-level Fleet Operations roles, including intake, market mapping, assessment, offer, and close.
• Build representative candidate pipelines through direct sourcing and a range of attraction channels, focusing on scalable strategies for Vehicle Safety Operators and other operational roles.
• Develop trusted partnerships with hiring managers and Directors, providing consultative guidance on role definition, assessment, market conditions, candidate quality, and closing strategies.
• Deliver an inclusive, transparent, and well-managed candidate experience, supporting teams with structured interviewing, timely feedback, and consistent decision-making.
• Use recruitment data and market intelligence to monitor progress, identify risks and bottlenecks, and shape effective hiring strategies.
• Collaborate with colleagues across Talent Acquisition, People, Finance, and Fleet Operations on workforce planning, employer branding, and improvements to hiring processes.

What you’ll be working on:

• Driving high-impact hiring for Fleet Operations teams, including specialized and leadership roles across multiple sites.
• Innovating scalable sourcing and direct outreach approaches tailored for operational and technical profiles.
• Shaping hiring processes and partnerships that are both candidate-centric and aligned with evolving business priorities.
• Providing actionable insights based on recruitment data and market intelligence to optimize team building and hiring success.
• Contributing to workforce planning, talent programs, and recruitment marketing to strengthen Wayve’s employer brand.

You should apply if:

• You have demonstrated success independently delivering full-cycle recruitment within a fast-paced or scaling organization.
• You have experience recruiting across a broad range of roles, including high-volume, professional, or manager-level positions.
• You have the confidence and judgment to advise senior stakeholders, challenge assumptions, and translate business needs into effective hiring strategies.
• You have strong direct-sourcing skills and experience using multiple attraction channels.
• You are hands-on, adaptable, highly organized, and able to balance competing priorities with strong attention to detail.
• You are comfortable using applicant tracking systems, recruitment data, and market insights to inform decisions and communicate progress.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours, and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences, and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials, and more

Job Data by YubHub.

You’ll be joining the Simulation team (Simulation Evaluation & Validation), working on Gaia , Wayve's world model. Gaia is trained on large-scale driving video to predict future frames from past context, functioning as a simulator that generates synthetic scenarios and operates in closed loop with the driving model itself.

Your day-to-day:

• Own and lead parts of large-scale training for Gaia (language- or video-style training at scale), from experimentation through productionised training runs.
• Contribute to and influence model architecture decisions , not just applying existing models.
• Partner across sub-teams: Research (model development), Applications (adapting models to use cases), Core Simulation Engineering, and Cloud/Infrastructure.
• Translate product and evaluation needs into model improvements (e.g. better long-horizon prediction, scenario generation quality, failure-case coverage).
• Mentor and set technical direction, raising the engineering and research quality bar across the team.

What you’ll be working on:

• Leading and executing Gaia's post-training and closed-loop pipeline , fine-tuning and aligning the world model through post-training experimentation and targeted data curation.
• Pushing Gaia's autoregressive generation towards longer, more stable rollouts, and making the model deployment-ready (inference time and reliability included).
• Contributing to broader model architecture and training-strategy decisions where they intersect with pre- and post-training and the application layer.
• Partnering closely with research, applications, simulation engineering, and cloud/infrastructure teams to translate post-training improvements into measurable downstream impact.
• Providing technical leadership through mentorship, review, and setting high engineering/research standards.

Essential:

• Hands-on experience post-training/fine-tuning large-scale models (language, video, or other foundation models).
• Experience with world models, autoregressive generation, and long-horizon generation.
• Experience with diffusion/flow models and a solid understanding of 3D vision.
• Strong understanding of model architecture and can contribute meaningfully to architectural/training decisions.
• Strong hands-on engineering skills with modern ML stacks (e.g. PyTorch), including debugging and performance/reliability-minded development.
• 5+ years of relevant industry experience.

Desirable:

• Experience with inference optimisation or deploying large models under latency/compute constraints.
• Experience improving data/training pipelines and working across infrastructure constraints (distributed training, efficiency, reliability).
• Proven technical leadership , tech lead ownership, mentoring, or setting direction across an area.

Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale.

What’s in it for you (Location dependant):

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

As Network & Infrastructure Engineering Manager, you'll lead the team, partnering with a staff-level network engineer who sets architecture and standards, and with our Security, Cloud and Workplace teams.

Your day-to-day:

• Lead, hire and develop a distributed team, helping engineers grow into domain owners.
• Own the roadmap, delivery priorities and vendor relationships for our network and site infrastructure.
• Work with our staff-level network engineer to turn technical direction into reliable delivery.
• Stay hands-on for roughly 20% of your week, reviewing designs, setting engineering standards and improving automation.
• Take part in the network on-call rotation, own P1 escalations and drive corrective actions after incidents.
• Partner with Security, Cloud and Workplace colleagues, with regular travel to our sites in Europe, the US and Japan.

What you'll be working on:

• Delivering an approved, multi-year network replacement across our sites, including hardware standards, vendor coordination and safe cutovers.
• Building and operating local and wide area networks, wireless, firewalls, certificate-based 802.1X network access control, monitoring and out-of-band management.
• Shaping new sites end to end: network connectivity, audio-visual systems, meeting rooms, desk technology and fit-out IT.
• Improving connectivity between our sites and cloud platforms, in partnership with the team that owns those platforms.
• Turning manual infrastructure work into repeatable automation and infrastructure as code.
• Delivering network security controls and evidence that support customer requirements and security assessments.

You should apply if:

• You've led a network or infrastructure team across sites and time zones, including hiring, performance management and developing engineers.
• You bring deep hands-on enterprise networking experience across local and wide area networks, wireless, firewalls and certificate-based 802.1X.
• You've owned site infrastructure beyond the network, such as AV, meeting rooms, fit-outs or new-site builds.
• You're comfortable with infrastructure as code and network automation, and can set standards and review your team's work.
• You've owned major network incidents and delivered multi-site hardware programmes with vendors and resellers.
• You've delivered network controls and evidence for TISAX, ISO 27001, SOC 2 or an equivalent security assessment.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

As a Principle Roboticist, Robot Foundation Model, you will be a founding member of the Multi-Embodiment Generalist Agent (MEGA) team within Wayve Labs. MEGA is building foundation models for general-purpose robots beyond self-driving vehicles. Our focus is on creating intelligent agents that can perceive, reason, move and manipulate the physical world across diverse embodiments, including mobile manipulators, dual-arm platforms and humanoids.

Your day-to-day responsibilities will include:

• Building, integrating, and maintaining robot hardware platforms for research and experimentation.
• Developing and maintaining robot software in C++ and Python, including control, planning, ROS/ROS2-based systems, and deployment infrastructure.
• Creating infrastructure for policy deployment, data collection, evaluation, and the robotics data flywheel.
• Running real-world robot experiments and defining data collection pilots that inform model development.
• Collaborating with research teams on robot policy development, model evaluation, and data strategy.
• Debugging and troubleshooting robotic software, hardware, and policy failures.
• Building robust deployment, regression, and validation tests for robot systems.
• Helping shape technical direction across robotics, ML, hardware, and experimentation.

To be successful in this role, you should have:

• Experience in robot manipulation; working with robot hardware.
• Experience leading robotics efforts.
• Strong programming experience in C++ and/or Python.
• Experience with robot software systems such as control, planning, ROS, or ROS2.
• Experience in Machine Learning is welcome, in particular training and deploying learned robot policies.
• A track record of high-quality research or engineering work in robotics, embodied AI, or related areas.
• Publications in top-tier conferences such as ICRA, CoRL, or IROS are highly valued.
• PhD preferred; Master's degree with equivalent experience also welcome.
• 5+ years of relevant industry experience.

We offer a range of benefits, including:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

You will be part of the Application Software US team, which brings Wayve's autonomous driving technology onto customer vehicle platforms, driving localisation and advancing capabilities for the US market.

Your day-to-day tasks will include:

• Executing software bring-up on customer hardware platforms, such as NVIDIA DRIVE and Qualcomm Ride
• Integrating and validating drivers, middleware, and boot-time configurations
• Collaborating with Verification & Release teams to integrate hardware into CI/CD, hardware-in-the-loop (HIL), and test infrastructure
• Implementing system-level diagnostics, logging, and secure boot configuration

You should apply if:

• You have 8+ years of experience in embedded or automotive software development
• You are proficient in C/C++, Bash, and Python
• You have a deep understanding of Linux-based embedded systems, including Yocto, systemd, bootloaders, and device trees
• You are familiar with QNX and Adaptive AUTOSAR environments

We offer:

• Salary: $209,700 - $238,250
• Meaningful equity
• Relocation support and visa sponsorship
• Hybrid working
• Learning and development budgets
• Comprehensive benefits

Job Data by YubHub.

As Robotaxi Customer Program Manager, you’ll be the main customer-facing program lead for Wayve’s Japan-based OEM and partner activity, with a current focus on robotaxi work involving Nissan. You’ll work with the customer to define and manage project plans, and make sure their requirements flow into our internal development pipeline and are delivered on schedule.

Your responsibilities include:

• Leading cross-functional teams in executing complex customer programs, making sure program objectives are achieved.
• Establishing and maintaining a comprehensive project management framework, including project planning, risk management, change management and task coordination.
• Engaging with customers to understand and address their technical requirements and needs.
• Collaborating with Product, TPM, R&D and engineering teams to translate customer demands into clear, actionable technical requirements.
• Working with internal development teams to align customer requirements with internal milestone planning and execution.
• Running progress reporting, stakeholder communication and meeting cadence, externally with customers and internally, in both Japanese and English.
• Filtering and structuring customer requests so the wider organisation can focus on what is most important and executable.
• Providing first-level support to customers, so their needs are met promptly and effectively.

Requirements:

• Fluent Japanese and English, with the ability to lead high-stakes external discussions in both languages.
• Strong program management experience, ideally more than 5 years or at senior individual contributor level, in complex automotive software development.
• Direct experience working with Japanese OEMs, automotive companies or tier-1 suppliers.
• Proven customer-facing stakeholder management experience, not just internal program delivery.
• Strong ownership and the ability to operate effectively in ambiguity.
• Robust technical expertise, with comprehensive knowledge of the automotive industry and software development, and some robotics, autonomy or AI-related experience.
• Proficiency with program management tools (e.g. Jira), and exceptional communication and interpersonal skills.
• The ability to collaborate effectively across multidisciplinary teams, and a willingness to travel as needed.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

About our Application Software Team

Our Application Software US team brings Wayve's autonomous driving technology onto customer vehicle platforms, driving localisation and advancing our capabilities for the US market. Working at the intersection of our AI software stack, embedded systems and automotive hardware, the team enables reliable performance across diverse systems-on-chip (SoCs) and operating systems.

Responsibilities

• Build and lead an engineering team in the US, hiring and mentoring top talent while providing hands-on technical leadership.
• Lead software bring-up on customer hardware platforms, such as NVIDIA DRIVE and Qualcomm Ride, including porting and configuring Linux, QNX and Adaptive AUTOSAR environments.
• Validate drivers, middleware and boot-time configurations, partnering with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Collaborate with Verification & Release teams to integrate hardware into CI/CD, hardware-in-the-loop (HIL) and test infrastructure, automating setup, flashing, health checks and test execution.

Requirements

• 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience, and strong proficiency in C/C++, Bash and Python.
• Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.
• Deep knowledge of embedded Linux, including Yocto, systemd, bootloaders and device trees, plus familiarity with configuring and debugging QNX and Adaptive AUTOSAR on target hardware.
• Experience bringing up automotive-grade SoCs, such as NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas or TI, and comfort with hardware debuggers, flashing tools, serial consoles, BSPs and protocols including CAN, Ethernet, PCIe, SPI and I2C.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

You’ll join the Search & Agents squad in Sunnyvale. We build the search, scenario mining and agentic tooling that lets anyone find the right driving scenarios and turn them into tests without writing SQL.

Your day-to-day:

• Build fullstack features across search, scenario mining and agentic tooling.
• Talk to model developers and researchers, and define how you will measure success before building.
• Take the scenario mining framework from prototype to production scale.
• Extend our agent tooling so agents can run evaluation workflows end to end.
• Work with large-scale data systems (Databricks, Spark) in an established codebase.
• Own the reliability and maintainability of what you ship.

What you’ll be working on:

• Build fullstack features across search, scenario mining, agentic tooling, and the web applications our users work in to curate scenarios and build test suites.
• Work directly with users to understand pain points, then define and measure what success looks like (adoption, time saved, reliability) before you build.
• Ship high-quality software with strong attention to reliability, performance and maintainability.
• Contribute to architectural decisions that scale across the team’s products.
• Use AI tools to improve how we build, from speeding up development to refining team workflows and product quality.

Essential:

• Strong development skills in Python, TypeScript, and JavaScript, with experience using React or similar front-end frameworks
• Strong SQL skills with a solid understanding of database design and optimisation
• Experience designing and building production-level fullstack systems and reliable, high-performance APIs
• Track record of building robust, maintainable systems and applying engineering best practices
• Excellent communication and collaboration skills, including working effectively across time zones
• Comfortable working independently in a fast-paced, high-context, ambiguous environment
• You are a power user of AI development tools and have a mindset for building AI-augmented workflows

Desirable:

• Experience with search, embeddings or retrieval systems
• Experience with the Databricks platform, and large-scale data processing with Spark or similar
• Experience with job orchestration frameworks such as Flyte
• Experience building agentic or LLM-powered developer tools (e.g. MCP servers)
• Experience building tools for technical users (ML, robotics, infrastructure)
• Experience with scientific data visualisation or complex data interfaces

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

About our Data Enrichment Platform Team

Our Enrichment Orchestration team builds the platform that enables Wayve’s teams to deploy, run, evaluate and continually improve machine-learning models. Processing petabytes of driving data across large GPU fleets, the team creates dependable, self-service capabilities that help model engineers understand model performance, improve quality and reduce operational effort and cost.

Responsibilities

As our Staff Software Engineer, you’ll own the platform’s technical vision and long-term direction. You’ll combine hands-on engineering with cross-team technical leadership, shaping how model engineering, infrastructure, compute and data capabilities come together to accelerate model development.

• Own the technical vision and architecture for the end-to-end Data Enrichment Platform, translating user needs into a clear technical direction.
• Lead the design, development and operation of backend services, APIs, model-execution workflows, versioned outputs, annotation capabilities and dataset catalogues.
• Make architectural decisions for petabyte-scale data and large GPU fleets, addressing data locality, scheduling, capacity, backpressure, failure recovery, observability and cost.
• Evaluate when to build, buy, reuse, integrate, consolidate or replace technologies as Wayve’s needs and the technology landscape evolve.
• Establish clear technical boundaries and ownership across model engineering, AI Platform, infrastructure, compute, storage and data teams.
• Remain hands-on while leading cross-team delivery, mentoring senior engineers and raising standards for maintainable, tested and observable software.
• Lead and develop a small team of engineers, providing technical direction, coaching and regular feedback while setting priorities and supporting their career growth.
• Drive adoption of reusable, self-service capabilities so teams can onboard and operate workflows independently.
• Define measurable service levels and success metrics covering reliability, throughput, cost, automation and adoption.

What you’ll be working on

• A scalable platform for large-scale inference, automated evaluation, model monitoring, active learning and retraining.
• Self-service backend services and APIs that enable dozens of model engineers to deploy and operate repeatable workflows independently.
• Reproducible dataset selection, versioned outputs, annotation workflows and dataset catalogues with clear metadata, provenance and lineage.
• Reliable model-execution workflows operating across petabytes of driving data and large GPU fleets, scaling towards thousands of GPUs.
• Monitoring and operational tooling that make model quality, platform reliability, throughput, cost, runtime and workflow status visible.
• The foundations for continuous evaluation, drift detection and automated model-improvement loops across robotics and computer-vision workloads.
• Architectural improvements that reduce inference costs, duplicate compute and manual operational effort.

Requirements

• You have owned the long-term technical direction of a complex, multi-system platform or capability and can demonstrate the measurable outcomes of your decisions.
• You have strong production software-engineering experience in Python, building maintainable, tested and observable backend services, APIs and data-processing systems.
• You have deep experience designing and operating large-scale distributed systems for data-intensive or compute-intensive workloads.
• You have a track record of turning internal platforms into widely adopted, reliable and usable self-service products.
• You bring excellent architecture and technology judgement, balancing immediate delivery needs with long-term platform direction.
• You remain hands-on while leading delivery across organisational boundaries, influencing technical decisions and aligning teams around clear ownership and shared outcomes.
• You communicate complex ideas clearly and have experience mentoring senior engineers and strengthening the technical capabilities of those around you.
• You have people leadership experience, such as managing or technically leading a small team of 2-3 engineers, setting direction, guiding delivery and supporting their growth and performance.
• Experience with workflow orchestration, batch inference, ML platforms, model deployment or registries would be an advantage. Relevant technologies include Flyte, Airflow, Dagster, Argo, Spark, Databricks, Ray, Kubernetes and GPU infrastructure.
• Experience with annotation or dataset-catalogue platforms, including provenance, versioning, lineage and quality control, would also be valuable.
• Experience with production robotics or computer-vision platforms,including annotation, inference, evaluation and model monitoring,is particularly desirable. Computer-vision research expertise is not required.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

About our Product Team

Our Product team works at the intersection of AI research, engineering and customer needs to shape the future of autonomous driving at Wayve. We define product direction, translate complex technical capabilities into clear roadmaps, and bring cross-functional teams together to turn research into products that deliver real-world impact.

Your day-to-day

• Lead a cross-functional team of engineers, researchers and PMs without formal authority. Give them clarity, remove blockers, and motivate them through hard, ambiguous problems.
• Engage deeply with technical detail across AI / ML, autonomy and embodied AI. Debate trade-offs credibly with senior researchers and engineers, and bring structured thinking to complex technical decisions.
• Communicate crisply across audiences, from deep technical reviews with engineers, to executive updates with leadership, to customer-facing conversations.
• Listen actively to engineers, partners and customers, and turn what you hear into better decisions and stronger team alignment.

What you’ll be working on:

• Independently own a substantial work package end-to-end. Define the problem, set the strategy, sequence the work, and lead the team to ship outcomes that move the AI Driver product forward.
• Translate R&D progress and customer needs into a clear product roadmap, sequencing capabilities to maximise impact and de-risk delivery.
• Set, track and report on clear KPIs and milestones, and establish the operating rhythm the team needs to deliver.

You should apply if:

• You’ve independently owned a substantial work package and led a cross-functional team to deliver it. You take responsibility for outcomes and proactively work through blockers.
• You bring strong technical depth, ideally in AI/ML, autonomy, robotics or another deep-tech domain, and can engage credibly with senior engineers and researchers.
• You’re a careful listener and clear communicator who can motivate and energise a team through ambiguity.
• You have a proven track record in product management, technical programme management or a similar role working on complex, cutting-edge technical products.
• You work autonomously, exercise sound judgement and are comfortable making decisions with imperfect information, then adapting as you learn.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

Production Software sits within Vehicle SW Engineering and builds the core software infrastructure that lets self-driving models interface with vehicles, be tested, and run safely in production. As part of a team restructure, this role is a high-impact opportunity to help define foundational components and engineering practices as the team scales to roughly 5–6 engineers.

You will work on mission-critical, performance-sensitive systems that sit between advanced ML models and embedded/vehicle platforms, with the opportunity to specialise in mapping/navigation, filtering/diagnostics, or control/inference while still collaborating across domains.

Your day-to-day:

• Build and maintain core C++/Python software components that interface with autonomy models and vehicle/embedded systems.
• Develop infrastructure to communicate with, run, and test self-driving capabilities, separate from ML model development.
• Own reliability and performance of key systems across Linux-based environments, and contribute to tooling and diagnostics for testing and validation.
• Partner with the wider org, distributed across London, Israel, and the US, to integrate changes and support releases.
• Depending on the specific role, focus primarily on one domain area: localisation/navigation/mapping, filtering/diagnostics, or control/inference.

Requirements:

• Exceptional C++ proficiency, with a track record of writing performance-sensitive, production-quality code.
• Strong Python skills for tooling, integration, and/or test infrastructure.
• Solid Linux experience, including development, debugging, and operating in Linux environments.
• Embedded systems familiarity, with experience interfacing software with hardware or vehicle systems.
• Automotive experience is a strong plus, but not required.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

You will design and build the software systems that enable MEGA's machine learning research. This includes scalable ML pipelines, data and training infrastructure, and the shared tools and abstractions that allow researchers to move quickly from an idea to a reliable experiment.

Responsibilities:

• Design and maintain scalable pipelines for data ingestion, model training, evaluation, and experimentation.
• Build reusable interfaces and shared tooling across data, models, training, evaluation, and downstream robotics workflows.
• Partner with researchers to translate evolving model and experiment needs into practical software systems.
• Diagnose and resolve performance, reliability, and usability bottlenecks across large-scale ML workloads.
• Raise the quality of the shared codebase through strong architecture, testing, documentation, and engineering standards.
• Support distributed training and data processing across large video, language, and robot-interaction datasets.

Requirements:

• Strong software engineering skills and experience building high-quality, maintainable software.
• Experience building and maintaining machine learning pipelines or infrastructure.
• Experience designing software systems and abstractions that are reliable, reusable, and able to evolve as requirements change.
• Hands-on experience with modern machine learning frameworks.
• Strong debugging skills and the ability to investigate problems across complex ML systems.
• Experience with software testing, code quality, and engineering practices for maintaining a healthy shared codebase.
• Experience working with large datasets, large models, or other computationally demanding ML workloads.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours, and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences, and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials, and more

Job Data by YubHub.

You will join the Multi-Embodiment Generalist Agent (MEGA) team within Wayve Science as a founding member, building foundation models for general-purpose robots beyond self-driving vehicles.

Your day-to-day work may span vision-language-action models, world and action models, multimodal and omni models, video generation, reinforcement learning, imitation learning and behavioral cloning.

Key responsibilities:

• Lead research into architectures, data and learning approaches for robot foundation models.
• Design, implement and evaluate models such as VLAs, WAMs, omni-modal models, video models and related foundation-model architectures for robotics.
• Explore and develop learning approaches including reinforcement learning, behavioural cloning and other methods relevant to robot policy development.
• Synthesize, curate and filter large-scale video datasets for model training and evaluation.
• Build and use scalable distributed training pipelines and infrastructure for large models and large datasets.
• Influence and/or own technical decisions around robot policy development, data strategy and model design.
• Collaborate closely with scientists, engineers and robotics teams to connect research progress to real-world robot performance.
• Communicate research clearly internally and, where appropriate, contribute to external publications and Wayve’s scientific presence.

Requirements:

• Deep experience in machine learning, with a focus on one or more of: vision-language models, video models, robot policies, or foundation models for robotics or embodied AI.
• Experience with scalable training, such as multi-node training, large datasets and/or large model training.
• Strong research track record, including publications in top-tier venues such as ICRA, CoRL, CVPR, NeurIPS, ICML or ICLR.
• Strong coding skills and hands-on experience with modern machine learning frameworks.
• Ability to design and drive an independent research agenda while collaborating closely with engineering and robotics teams.
• Experience translating research ideas into working systems, experiments or deployed capabilities.
• Strong communication skills and the ability to influence technical direction across teams.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

Job Description

Our Fleet Operations Team ensures that our vehicles and staff continuously meet the highest standards in safety, performance, and regulatory compliance. Working collaboratively across various functions, the team plays a key role in developing and delivering training, maintaining operating standards, and supporting the professional growth of our people within a fast-paced and innovative environment.

Responsibilities

• Monitor and evaluate the effectiveness of training programs, making recommendations for improvements.
• Maintain up-to-date training records and ensure compliance with company policies and legal requirements.
• Conduct regular assessments of operating standards across teams and individuals to uphold our quality objectives.
• Develop and maintain training materials, including manuals, presentations, and online resources.
• Work closely with subject matter experts to identify areas for improvement in training content, delivery, and operating standards.
• Monitor and analyse training metrics to identify trends and suggest opportunities for improvement.
• Develop and oversee implementation of quality assurance processes for both training programs and operating standards.
• Support staff professional development and course completion, in conjunction with Team Leads.
• Collaborate with cross-functional stakeholders to understand and anticipate training needs related to the growth of commercial operations.

Requirements

• Hold a full clean US driving licence and have at least 8 years' driving experience (mainly in the US).
• No blameworthy insurance claims within the past three years.
• Remain calm and controlled in pressured situations.
• Be receptive to feedback, eager to learn from mistakes, and have a growth mindset.
• Enjoy working closely with people in a team environment.
• Can manage your wellbeing (including fatigue/stress) and have proven personal strategies for doing so.
• Have proven experience as a team coordinator or in a similar role.
• Demonstrate strong leadership and communication skills,both one-to-one, within your team, and when engaging other stakeholders.
• Can work under pressure and manage multiple priorities effectively.
• Have excellent problem-solving skills, attention to detail, time management, and organisational ability.
• Be proficient in Google Workspace or Microsoft Office suite.
• Have excellent written and verbal English communication skills.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Learning and development budgets with support for training, conferences, and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials, and more

Job Data by YubHub.

As a Lead Technical Program Manager, Data, you'll build and lead the technical programme management function supporting our Data organisation. You'll partner with Data and Engineering leadership to make valuable data immediately and reliably usable, combining hands-on ownership of flagship programmes with coaching and developing a small, high-impact TPM team.

Your day-to-day:

• Coach and support a small, high-impact TPM team, helping people develop their skills, work through challenges and raise the standard of programme delivery.
• Act as a trusted delivery partner to Data and Engineering leadership, aligning priorities, challenging trade-offs and holding teams and leaders accountable for meaningful outcomes.
• Work across data, ML, engineering and external data and annotation suppliers to manage dependencies, surface risks and remove blockers.
• Use KPIs, dashboards and operational reviews to understand delivery progress, identify bottlenecks and steer decisions with the right data.
• Represent the Data organisation in company-level reviews, communicating progress, risks and decisions clearly and connecting delivery to business impact.

What you'll be working on:

• Building and scaling the technical programme management function for our Data organisation, hiring to fill capability gaps and growing a high-performing team.
• Owning planning, prioritisation and execution across the data roadmap in partnership with Data leadership.
• Leading flagship programmes directly across the data platform, ingestion and standardisation pipelines, enrichment and curation, labelling and annotation, and dataset management and quality.
• Establishing scalable planning cadences, governance, escalation paths and operational practices that bring structure without slowing delivery.
• Driving measurable improvements in data quality, throughput, cost and time-to-insight, making the data that powers our models more reliably and predictably available.

You should apply if:

• You bring 8+ years of deep, hands-on experience delivering data programmes as a technical programme manager, spanning data platforms, pipelines, enrichment, curation or labelling.
• You build, coach and grow high-performing teams.
• You have strong technical depth across data platforms, pipelines and large-scale distributed infrastructure, including platforms operating at petabyte scale.

Requirements:

• Data ingestion from raw data through multiple processing stages and pipelines, with an understanding of directed acyclic graphs (DAGs), their uses and their challenges.
• A solid understanding of machine learning, GPUs, and training and inference for models with 500 million to 20 billion parameters.
• Proficiency with some or all of Databricks, Flyte, Ray, Kubernetes, Azure, Docker and Python.
• Proficiency with AI agents such as Cursor, Claude or Codex to accelerate execution.

Benefits:

• Salaries benchmarked against the market annually
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

As Director of Technical Program Management for Driver Out, you’ll own the multi-year programme that takes Wayve’s autonomy technology from its first eyes-off, driver-out demonstration to a productised service on public roads.

Your day-to-day:

• Partner with engineering, science, safety, product and operations leaders, alongside external partners including OEMs and Uber, to align on scope, sequencing and readiness.
• Drive the programme’s critical path, turning complex technical, safety and operational requirements into clear commitments, and managing dependencies, risks and trade-offs across workstreams.
• Coach and support your TPM team, set clear expectations, manage performance and hold workstream leads accountable for delivery.
• Run milestone and launch-readiness reviews, using KPIs and dashboards to assess progress, surface issues and drive timely decisions, escalations and risk-budget management.
• Represent Driver Out to the executive team, communicating progress, risk and readiness clearly and guiding the programme’s most consequential decisions.

What you’ll be working on:

• Owning the Driver Out programme end-to-end, defining and delivering the multi-year plan from the first driver-out demonstration through public-road product integration and initial scaling, connecting concept to operation.
• Coordinating delivery across driving-model performance and safety, system architecture, verification and validation, vehicle hardware and software, remote assistance and operations.
• Bringing together the safety case, behaviour validation, functional safety (ISO 26262), SOTIF (ISO 21448), cybersecurity and the Safety Management System into a credible, signed-off safety argument for driver-out.
• Building and growing the programme’s TPM organisation, developing other leaders and establishing the operating model, governance and delivery practices needed to lead a programme of this scale.
• Connecting Driver Out delivery to Wayve’s commercial path to market, making strategic trade-offs that keep the transition from driver-in to driver-out safe, achievable and aligned with product outcomes.

You should apply if:

• You have 10+ years of experience delivering complex technical programmes, including director-level leadership.
• You’ve built and led programme-management teams, with direct responsibility for coaching, development and performance management.
• You bring extensive experience delivering autonomous-vehicle or comparable safety-critical robotics programmes, ideally progressing towards driver-out or L4 operation.
• You’re fluent in safety cases, behaviour validation, functional safety (ISO 26262), SOTIF (ISO 21448) and safety management systems, and can bring these together into a coherent safety argument across multiple workstreams.
• You’re technically strong across autonomy, machine learning, vehicle hardware and software, and systems engineering.

About Wayve: Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale.

Benefits:

• Salaries benchmarked against the market annually
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

As a Product Feature Owner ADAS at Wayve, you will take end-to-end ownership of specific Collision Avoidance and Lane Keeping ADAS functionalities. You will work closely with OEM customers, product and engineering teams to define feature scope, set performance targets and guide delivery from concept through to production.

Your day-to-day:

• Act as the accountable product owner for specific ADAS features, ensuring they are delivered on time, to the agreed specification and in line with customer and business needs.
• Partner closely with OEM customers to understand their requirements, represent their needs internally and align expectations without compromising Wayve's product strategy.
• Work with feature group owners and engineering teams to define feature scope, specifications, performance targets and delivery plans.
• Engage throughout feature development, providing early feedback, participating in testing and supporting evaluation and validation activities.
• Serve as the central point of coordination between OEMs, product and engineering teams, creating clarity, resolving ambiguity and reducing misunderstandings.
• Identify risks early, manage trade-offs and keep teams aligned as feature requirements, customer priorities and the technology evolve.

What you'll be working on:

• Owning the end-to-end lifecycle of ADAS features across Collision Avoidance and Lane Keeping, including Automatic Emergency Braking (AEB), Lane Keeping Assist (LKA), Evasive Steering Assist (ESA), Automatic Emergency Steering (AES) and Blind Spot Monitoring (BSM).
• Defining and evolving feature specifications in partnership with OEMs, engineering and product teams.
• Harmonising customer requirements across OEM partners to maximise reusable assets, scalability and efficient feature delivery.
• Setting clear performance targets and ensuring features meet customer requirements, internal capabilities and agreed delivery specifications.
• Supporting testing, evaluation and validation to ensure feature quality and readiness for production.
• Maintaining and evolving the strategic feature roadmap as Wayve's technology advances towards higher levels of autonomy.
• Participating in agile planning and delivery rituals, helping teams manage dependencies, risks and priorities effectively.
• Ensuring feature delivery aligns with relevant automotive quality, safety and compliance expectations.

You should apply if:

• You have strong experience specifying and delivering ADAS features from concept through to production, particularly across Collision Avoidance or Lane Keeping functions such as AEB, LKA, ESA, AES or BSM.
• You understand automotive development processes, including requirements management, the V-model, ASPICE, quality and validation.
• You are confident working directly with OEM customers: understanding their needs, negotiating requirements and representing their perspective internally while maintaining a clear view of Wayve's product strategy.
• You have sufficient technical depth to engage credibly with engineering teams on feature trade-offs, feasibility, testing, evaluation and validation.
• You are a strong cross-functional collaborator who can bridge technical and commercial perspectives, creating alignment across customers, product and engineering teams.
• You proactively identify risks and issues before they escalate, balancing immediate delivery needs with the longer-term product roadmap.
• You are comfortable in an ambiguous, fast-moving environment and can bring structure and clarity without adding unnecessary process.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

Your day-to-day:

• Act as the accountable product owner for specific Parking features, ensuring they are delivered on time, to the agreed specification and in line with customer and business needs.
• Partner closely with OEM customers to understand their requirements, represent their needs internally and align expectations without compromising Wayve's product strategy.
• Work with feature group owners and engineering teams to define feature scope, specifications, performance targets and delivery plans.
• Partner with systems, hardware, perception, platform, safety and supplier teams to shape the Parking sensor and compute architecture.
• Drive integration and issue resolution across the Parking sensor stack, including ultrasonic sensors (USS) and surround-view cameras (SVCs).
• Engage throughout feature development, providing early feedback, participating in testing and supporting evaluation and validation activities.
• Identify risks early, manage trade-offs and keep teams aligned as customer priorities, platform constraints and the technology evolve.

What you'll be working on:

• Owning the end-to-end lifecycle of Parking features, including Park Distance Control, Rear-AEB, Auto-Park Assist, Remote Park Assist and Memory Parking.
• Defining and evolving feature specifications in partnership with OEMs, engineering and product teams.
• Translating sensor, compute and platform constraints into clear feature scope, performance targets and delivery trade-offs.
• Leading integration across the Parking sensor stack, including USS and SVCs, and resolving sensor-specific performance and integration issues.
• Harmonising customer requirements across OEM partners to maximise reusable assets, scalability and efficient feature delivery.
• Setting clear performance targets and ensuring features meet customer requirements, internal capabilities and agreed delivery specifications.
• Supporting testing, evaluation and validation to ensure feature quality and readiness for production.
• Maintaining and evolving the strategic feature roadmap as Wayve's technology advances towards higher levels of autonomy.
• Participating in agile planning and delivery rituals, helping teams manage dependencies, risks and priorities effectively.
• Ensuring feature delivery aligns with relevant automotive quality, safety and compliance expectations.

You should apply if:

• You have strong experience specifying and delivering Parking features from concept through to production, particularly Park Distance Control, Rear-AEB, Auto-Park Assist, Remote Park Assist or Memory Parking.
• You understand automotive development processes, including requirements management, the V-model, ASPICE, quality and validation.
• You are confident working directly with OEM customers: understanding their needs, negotiating requirements and representing their perspective internally while maintaining a clear view of Wayve's product strategy.
• You have sufficient technical depth to engage credibly with engineering teams on Parking feature trade-offs, feasibility, testing, evaluation and validation.
• You have experience defining and integrating automotive Parking sensor systems, including USS and SVCs, with practical knowledge of interfaces, calibration, diagnostics, supplier management and sensor-specific integration and performance issues.
• You have delivered ADAS or Parking features on resource-constrained automotive SoCs, with a practical understanding of how compute, memory, bandwidth, latency and thermal budgets shape system architecture, feature behaviour, performance and customer experience.
• You are a strong cross-functional collaborator who can bridge technical and commercial perspectives, creating alignment across customers, product, systems, hardware, perception, platform, safety and engineering teams.
• You proactively identify risks and issues before they escalate, balancing immediate delivery needs with the longer-term product roadmap.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

You’ll join an early-stage team working across web applications, backend services, embedded APIs and cloud infrastructure. With multiple OEM integrations and vehicle configurations to support, you’ll help shape both the systems we build and the engineering practices behind them.

Responsibilities

• Own meaningful projects from problem definition through design, implementation, deployment and production operation.
• Partner with Product, Research, Safety, Operations, SRE and Infrastructure to turn complex fleet needs into reliable services and intuitive tools.
• Contribute to architecture and planning, and validate ideas through prototypes.
• Write well-tested code and review changes with your peers.
• Make technical trade-offs that improve fleet visibility, reduce friction for users and keep systems dependable as deployments scale.
• Support other engineers’ growth through feedback and shared technical learning.

What you’ll be working on

• Reliable deployment workflows for software, AI models and configuration across vehicles that may be intermittently connected, including correctness, ordering and rollback.
• Services connecting Wayve vehicles with external dispatch systems to support robotaxi and remote autonomous operations.
• APIs and web interfaces that make vehicle state visible and help engineers diagnose issues quickly and confidently.
• Tools for exploring vehicle telemetry and operational data, alongside reporting on utilization, performance and mission outcomes.
• Scalable, observable full-stack systems whose quality, maintainability and evolution you own in production.

Requirements

• You have experience building, shipping and operating production full-stack applications and web services.
• You bring hands-on depth across frontend, backend and infrastructure.
• You have independently owned projects from an ambiguous problem through technical design, delivery and ongoing operation.
• You understand API contracts, data modeling, service boundaries and the reliability, consistency, scalability and failure modes of distributed systems.
• You use metrics, logs and traces to understand production behavior and guide decisions.
• You communicate clearly across engineering, product and operational teams, and enjoy mentoring and improving engineering practices.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

The goal of this role is to build, scale, and optimise next-generation world model architectures (GAIA and successors) and bridge them into high-throughput generation and training infrastructure, so synthetic data can dramatically accelerate autonomy development.

You will post-train world models for new embodiments and behaviours, generate multimodal synthetic experience at scale, and land that data in the same training stack we use for real driving.

Your day-to-day:

• Model development: Post-train, distill, and evaluate GAIA-family large video diffusion models to improve generation quality, controllability, and generalisation.
• Generation at scale: Build and run synthetic video generation pipelines across tens of thousands of driving segments.
• From generation to training: Integrate synthetic data across different stages of driving-model training, develop sampling strategies, and measure its impact through evaluation suites and on-road performance.
• Cross-team collaboration: Work with driving-model teams to determine effective data mixtures and with simulation and evaluation teams to turn generated scenarios into useful closed-loop tests.
• Applied research: Translate advances in world modelling, video generation, flow matching, distillation, and data-centric training into measurable improvements in the models and data we deploy.

What you'll be working on:

• Post-train and iterate GAIA-class world models for synthetic-data capabilities.
• Own the generation loop: config → large-scale GPU inference → training-ready artefacts, with clear lineage from the model and settings that produced them.
• Land synthetic data in driving-model training.
• Diagnose and fix geometry, artefacts, calibration, and controllability failures that determine whether generated video is training-grade.
• Improve throughput and yield.
• Expand coverage to new vehicle platforms and safety-critical scenarios.
• Partner with world-model researchers, infra, and driving-model owners.

You should apply if:

• 4+ years in applied ML / research engineering, with a track record of training and shipping neural nets.
• Strong Python and PyTorch.
• Hands-on experience with video, generative, or world models.
• Working knowledge of cameras and 3D geometry.
• Evidence of taking generated or simulated data into a trained downstream model and measuring impact.
• Ability to operate generation or training at real scale.
• Collaborative, experimental working style with researchers and platform engineers.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity
• Relocation support and visa sponsorship
• Hybrid working
• Learning and development budgets
• Comprehensive benefits

Job Data by YubHub.

You will help define and build the foundation-model learning stack for robotics: novel model architectures, pre-training objectives, post-training methods, and scalable data and training systems.

Your day-to-day:

• Design and run experiments on model architectures, learning objectives and data strategies for robot foundation models.
• Build scalable pre-training and post-training methods using web video, egocentric video and robot-interaction data.
• Curate, filter, mix and evaluate large robotics datasets, including egocentric, UMI and teleoperated data.
• Develop and use distributed training pipelines for large multimodal models and datasets.
• Partner with ML engineers, roboticists and hardware teams to turn research progress into measurable real-world robot performance.
• Communicate findings through rigorous internal reviews, publications and robot demonstrations.

Requirements:

• Experience in machine learning, with a focus on multimodal foundation models and data for foundation models.
• Experience with scalable training, such as multi-node training, large datasets and/or large model training.
• Strong research track record, including publications in top-tier venues such as ICRA, CoRL, CVPR, NeurIPS, ICML or ICLR.
• Strong engineering skills and hands-on experience with modern machine learning frameworks.
• Ability to design and run rigorous experiments while collaborating closely with engineering and robotics teams.
• Experience translating research ideas into working systems, experiments or deployed capabilities.
• Strong communication skills and the ability to share research clearly across teams.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

Our Fleet Operations Team is responsible for maintaining the safety, performance, and operational readiness of Wayve's autonomous vehicle fleet , from routine servicing and diagnostics to urgent repairs and vehicle readiness for high-visibility events. The team keeps our fleet in peak condition to support testing, demonstrations, and real-world deployment, working closely with engineering, drivers, and operations teams to keep autonomy moving forward, every single day.

As a Fleet Serving & Maintenance Technician, you will:

• Conduct routine maintenance and servicing to ensure reliability and safety across all vehicles.
• Diagnose and repair technical issues using diagnostic tools, working closely with engineering teams to resolve issues quickly.
• Support high-profile AV readiness to ensure vehicles are kept in excellent condition and ready for demos, investor rides, and media-facing events.
• React to fleet faults in real-time to address urgent repairs and get vehicles back on the road rapidly.
• Work collaboratively across functions to resolve fleet issues and track recurring faults.
• Follow workshop safety protocols to maintain high standards of health and safety in workshop environments.
• Contribute to servicing process improvements to share ideas for improving servicing workflows, fault reporting, and documentation practices.
• Keep accurate records to log all maintenance and repair activities using tracking tools.
• Maintain parts and tools readiness to help manage toolkits, diagnostic devices, and parts inventory.
• Be flexible to support 24/7 operations.

You should apply if:

• You have relevant qualifications in automotive servicing, diagnostics and repairs.
• You have proven experience as a Vehicle Technician in an automotive servicing or fleet environment.
• You have strong diagnostics capability using OEM or third-party diagnostic equipment.
• You're familiar with mechanical and bodywork repairs using OEM repair manuals.
• You're competent with computer systems for tracking and recording maintenance tasks.
• You're comfortable interacting with engineers, operations staff, and drivers.
• You have a strong understanding of workshop safety and compliance standards.
• You hold a Japan Driving License for at least 5 years.

Job Data by YubHub.

As a Senior Embedded Software Engineer on the Onboard Test Automation Team at Wayve, you will play a key role in validating onboard software systems before they reach full-vehicle testing. You’ll work across a range of embedded compute platforms and operating systems to ensure software is reliable, integrated, and ready for real-world deployment.

Your day-to-day:

• Design, develop, and execute automated tests for onboard software subsystems (OS, middleware, sensors, and integration points)
• Validate software behavior on embedded hardware platforms within hardware-in-the-loop environments
• Collaborate with software engineers to identify test gaps and build coverage for new and existing features
• Debug and triage system-level issues across software and hardware boundaries
• Enable developer self-service testing by contributing to CI pipelines and reusable test frameworks
• Support expansion of test coverage by leveraging existing validation tests and shifting them earlier in the development cycle

What you’ll be working on:

• Automated integration and system-level testing for embedded Linux or QNX software
• Hardware-in-the-loop validation across multiple compute platforms
• Reliability checks for sensor pipelines, middleware, timing, latency, data integrity, and dropped messages
• Observability that makes intermittent failures easier to reproduce and diagnose
• Earlier validation of software changes to reduce risk during full-vehicle testing
• Test frameworks that improve developer velocity and confidence across Robot Software

You should apply if:

• You have experience testing embedded software systems, ideally on Linux or QNX
• You can develop automated tests in Python, C++, or a similar language
• You have hands-on experience with embedded hardware and hardware/software interactions
• You can debug complex system-level problems using logs, metrics, and controlled experiments
• You understand automation, integration testing, and system validation principles
• You are comfortable collaborating across software, hardware, and infrastructure teams

Experience with HiL environments, sensor or data pipelines, CI/CD systems such as Buildkite, robotics, autonomous systems, or real-time software would be valuable.

About Wayve: Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

You’ll join the Fleet Management team, which builds the platform that connects Wayve’s engineers and operators with a global fleet of autonomous vehicles and data-collection devices. The platform provides teams with the visibility and control they need to operate confidently as the fleet grows.

Your day-to-day responsibilities will include:

• Owning full-stack features, working with senior engineers, Product Managers, and Designers to turn agreed designs into production-quality software.
• Contributing to technical discussions and breaking work into practical implementation steps.
• Following your work through testing, deployment, and maintenance.
• Writing clean, performant code, debugging issues, and reviewing peers’ changes.
• Sharing what you learn and taking on more complex problems as your experience grows.
• Keeping usability and reliability central to the tools you build for real vehicle operations.

You will be working on:

• Frontend and backend features that help teams understand fleet health, configuration, software status, and location.
• APIs, databases, and cloud services behind Fleet Management workflows.
• Tools that support engineers and operators across different OEMs and vehicle configurations.
• Scalable, maintainable services developed in partnership with senior engineers.
• Automated tests, debugging, and code reviews that improve the quality and consistency of the platform.

You should apply if:

• You have professional experience building full-stack web applications or services, with genuine hands-on exposure to both frontend and backend development.
• You have worked with APIs, schemas, databases, and backend services.
• You can deliver clean, tested, and maintainable code, and contribute thoughtfully to technical design discussions.
• You are familiar with cloud services, distributed systems, or microservice architectures.
• You take ownership of assigned work, communicate proactively, and enjoy learning from experienced teammates.
• Experience with React, TypeScript, MUI, Rust, Go, Node.js, Kubernetes, Bazel, or Azure would be useful, but not required.
• Bonus if you have experience with fleet management, robotics, autonomy, operational tooling, monitoring, or high-volume data workflows.

Wayve is building the leading AI platform for autonomous driving. We are pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience, developing the ability to adapt, generalise, and improve at scale.

In terms of benefits, you can expect:

• Salaries benchmarked against the market annually.
• Meaningful equity, sharing in the ownership and long-term success of Wayve.
• Relocation support and visa sponsorship where applicable.
• Hybrid working, core hours, and the chance to work hands-on in vehicle workshops and labs.
• Learning and development budgets with support for training, conferences, and growth.
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials, and more.

Job Data by YubHub.

Your work spans data ingestion, data quality assurance, transformation, curation, evaluation and ML support. You'll work closely with Wayve's Data Corpus teams, customer programmes and ML engineers, bringing up ingestion pipelines for new vehicle platforms and sensor configurations, and tackling the highest-impact bottlenecks first.

Responsibilities:

• Building and improving scalable data pipelines that support model development, evaluation and production ML workflows for autonomous driving.
• Ingesting, transforming and curating large-scale real-world, synthetic and partner-provided datasets into structured, reliable, model-ready formats aligned with standardised taxonomies and coordinate systems.
• Developing data quality checks, validation processes and monitoring so that raw vehicle data and processed datasets are high-quality, complete, consistent, traceable and fit for ML use cases.
• Curating and mining real-world and synthetic data to drive scenario diversity, coverage and feature-specific development.
• Improving pipeline performance, reliability and usability, reducing bottlenecks and increasing iteration velocity across ML development.
• Collaborating closely with ML engineers, Data Corpus, AI Platform and external partners so data pipelines integrate effectively with production-scale learning systems.

Requirements:

• Proven experience building and operating scalable data pipelines or distributed data processing systems in production environments.
• Strong software engineering skills in Python, with a solid foundation in maintainable, reliable, and well-tested software development practices.
• Proficient in SQL and PySpark, with experience using warehouse/OLAP concepts, window functions, and Spark for distributed data processing.
• Experience with modern data pipeline architectures, including workflow orchestration and DAG-based systems such as Airflow, Flyte, Ray, or similar.
• Solid understanding of robotics and automated driving data concepts, including sensor characteristics, timestamping and clock synchronisation, coordinate transformations, calibration, and ego-motion signals such as GNSS/IMU and vehicle odometry.
• Understanding of machine learning development workflows, including training data generation, evaluation datasets, scenario mining, and model iteration.
• Excellent communication and collaborative skills, capable of working effectively with interdisciplinary teams.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

Responsibilities:

• Execute software bring-up on customer hardware platforms (e.g., NVIDIA Drive, Qualcomm Ride)
• Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments
• Integrate and validate drivers, middleware, and boot-time configurations
• Collaborate with Verification, Release, and OEM partner teams for smooth integration and dependable delivery
• Implement system-level diagnostics, logging, and secure boot configuration
• Develop automation for setup, flashing, health checks, and test execution on target hardware
• Define and execute the strategy for integrating our autonomy stack into multiple OEM platforms
• Provide technical leadership and help build the team

Requirements:

• 5+ years of experience in embedded or automotive software development
• Strong proficiency in C/C++, Bash, and Python
• Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees)
• Familiarity with QNX and Adaptive AUTOSAR environments
• Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI)
• Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs)
• Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours, and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences, and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials, and more

Job Data by YubHub.

Your day-to-day:

• Design, implement and maintain C++ application software for ADAS and active-safety-related vehicle features.
• Build feature-level logic on top of AI / ML outputs, including validation, feasibility checks, state machines, fallback behaviours and safety-aware decision logic.
• Work with ML engineers to understand model outputs, limitations and failure modes, and how these translate into vehicle behaviour.
• Use logs, simulation, replay and vehicle testing to debug, tune and validate feature behaviour.
• Define and improve metrics, test cases and validation strategies for ADAS feature performance, robustness and quality.
• Collaborate with product, systems, vehicle integration and OEM-facing teams to turn requirements and real-world constraints into engineering solutions.
• Support field testing and iterative development, including investigating vehicle issues, edge cases and performance gaps.
• Contribute to software architecture, code quality, tooling and engineering practices for feature development.

Requirements:

• Strong C++ software engineering experience, ideally in production or safety-relevant systems.
• Hands-on experience in ADAS, autonomous driving, robotics, vehicle software, active safety or closely related domains.
• Practical understanding of vehicle feature development, including real-world testing, simulation, replay, logs or prototype vehicle debugging.
• Ability to reason about vehicle behaviour, sensor and model inputs, timing, failure modes and feature-level decision logic.
• Experience working cross-functionally with teams such as ML, perception, planning, controls, vehicle integration, product or systems engineering.
• Strong problem-solving skills and ability to make pragmatic engineering trade-offs under ambiguity.
• Quality mindset, with experience writing testable, maintainable software and using data to validate behaviour.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

The Triage team in Application Software Japan, part of Product & Delivery, plays a critical role in the safety, reliability and triage efficiency of Wayve’s ADAS+ systems. It bridges Detective Engineering, Triage Engineering and the component teams, so that root causes in real-world vehicle behaviour are found quickly and accurately and issues get resolved faster.

As a Customer Integration Engineer (ML Triaging Engineer), you’ll carry out first-level analysis of real-world run data and on-road interventions, work out likely root causes, and produce Top Issue reports across our test environments and operational domains. You’ll work closely with Detective Engineers on ambiguous or complex runs and with Triage Engineers on automated triage solutions, and you’ll own issues from identification through to documentation and reporting.

Responsibilities:

• Performing first-level analysis on real-world run data and on-road interventions.
• Investigating issues to identify or narrow down likely root causes, and working with Detective Engineers on deeper analysis of ambiguous or complex runs.
• Partnering with Triage Engineers to support and improve automated triage solutions.
• Managing the full issue lifecycle: identification, investigation, resolution, documentation, reporting and follow-through.
• Adding accurate metadata to interventions, including root cause labels, Jira links and comments.
• Validating triage automation bots, offline metrics and simulation suites, and making sure outputs meet quality standards.
• Giving feedback on triage tooling and suggesting improvements to usability and speed.
• Taking part in regular standups to address emerging concerns, set priorities and adapt to process changes.
• Contributing to a high standard of safety, quality and operational discipline across triage.

Requirements:

• Previous experience in ADAS, Autonomous Vehicles or Testing
• Passion for Quality and Safety-first mindset.
• Ability to learn and use a variety of internal tools and software platforms.
• Comfort with technical terminology related to ADAS systems and software stacks.
• Strong communication skills across cross-functional and time-zone-distributed teams.
• Analytical thinking, logical reasoning, and bias-free problem-solving.
• Detail-oriented approach with a focus on accuracy, even over extended sessions.
• Strong debugging, documentation, and investigation skills.
• Ability to work independently and as part of a collaborative team.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

Your day-to-day:

• Executing software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
• Porting and configuring Linux-based systems, QNX and Adaptive AUTOSAR environments.
• Integrating and validating drivers, middleware and boot-time configurations.
• Working with Verification and Release teams to integrate hardware into CI/CD, HIL and test infrastructure.
• Working with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Implementing system-level diagnostics, logging and secure boot configuration.
• Developing automation for setup, flashing, health checks and test execution on target hardware.
• Defining and executing the strategy for integrating our autonomy stack into multiple OEM platforms.
• Building the team and providing technical leadership across integration work.

Requirements:

• 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C/C++, Bash, and Python.
• Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
• Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
• Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

Your day-to-day You'll provide independent challenge and advice while enabling Engineering and Product teams to own and deliver the safety evidence required for their systems. You'll move between top-level safety strategy and detailed technical evidence, identifying gaps and weak assumptions early enough to influence product decisions.

What you'll be working on:

• Owning the safety case strategy and architecture for Wayve's robotaxi and OEM ADAS products.
• Defining top-level safety claims, argumentation, evidence structures and traceability from safety requirements through validation and deployment decisions.
• Developing safety arguments appropriate for AI-enabled autonomous driving, incorporating functional safety, SOTIF, AI safety, cybersecurity, validation, operational safety and post-deployment monitoring.
• Evolving reusable safety case approaches as Wayve's products, vehicle platforms and evidence base mature.
• Partnering with Product, Systems Engineering, AI/ML, Validation, Vehicle Engineering, Software, Hardware and Operational Safety to define safety requirements and evidence expectations.
• Identifying gaps, assumptions and weaknesses in the safety argument early and driving their resolution with accountable teams.
• Ensuring product requirements, architecture, validation plans and release criteria remain aligned with the safety case.
• Supporting technical and programme leaders in making proportionate, evidence-based safety decisions.
• Providing independent technical challenge of safety cases and supporting evidence.
• Assessing whether safety arguments are coherent, complete, evidence-backed and sufficient to support release or deployment.
• Highlighting material gaps, uncertainties, dependencies, residual risks and safety red lines, and providing clear recommendations to safety governance forums and senior leadership.
• Building a common understanding of safety case principles across Wayve and coaching Engineering and Product leaders on structured safety argumentation, evidence quality and traceability.
• Representing the safety case perspective in internal governance, customer and technical discussions.
• Contributing to Wayve's broader safety strategy and assurance capability.

Success in this role means establishing a clear and credible safety case architecture for Wayve's first robotaxi and OEM ADAS products. Engineering and Product teams will understand the safety claims they support and the evidence they own, while gaps and weak assumptions will be identified early enough to influence product decisions. Wayve's safety argument for AI-enabled autonomous driving will be technically rigorous, scalable and capable of standing up to scrutiny from customers, regulators and independent assessors.

You should apply if:

• You have deep experience developing or owning safety cases for complex safety-critical systems, ideally within autonomous vehicles, ADAS, robotics, aerospace, defence or another software-intensive domain.
• You have a strong systems engineering background spanning requirements, architecture, verification, validation and safety assurance.
• You have demonstrated the ability to translate complex technical evidence into structured safety claims and arguments.
• You have a strong understanding of autonomous driving and AI/ML safety, including model performance, data, uncertainty and the limitations of conventional verification approaches.
• You have experience partnering with AI/ML, Engineering, Systems and Product teams on safety-critical products.
• You have strong knowledge of relevant standards, including ISO 26262, ISO 21448, ISO/PAS 8800 and ISO 3450x.
• You have excellent technical communication and stakeholder-management skills.
• You're an architect and systems thinker who can move comfortably between top-level safety strategy and detailed technical evidence.
• You're pragmatic and able to distinguish between what is essential to a safety argument and what is merely desirable.
• You're intellectually rigorous, curious and comfortable challenging assumptions, including established industry practices where they do not adequately address AI-enabled autonomous driving.
• You can operate independently of Engineering and Product without becoming detached from them, providing credible challenge, direction and oversight while helping teams succeed.
• You're comfortable operating with uncertainty and can make clear recommendations based on the strength of the available evidence.
• You're open to challenge and willing to change your position when better evidence emerges.
• You can clearly articulate where a safety red line exists, why it matters and what evidence or mitigation would be required to move it.

What Wayve offers:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

As a Product Marketing Manager at Wayve, you'll lead the strategic positioning of our Embodied AI software products for automotive OEMs. You'll develop and execute a global product marketing strategy that drives demand, awareness and positive perception of our automotive products while establishing Wayve as a leading AI developer for assisted and automated driving.

Your day-to-day You'll own product positioning, messaging and value propositions for Wayve's Embodied AI products, translating complex AI and autonomous-driving technology into clear, differentiated and commercially relevant narratives. You'll develop integrated marketing campaigns, content and sales enablement that build awareness and trust in Wayve's technology and support pipeline growth.

What you'll be working on:

• Developing and implementing a global product marketing strategy that positions Wayve as a leading developer of Automotive AI and our Embodied AI software as a key enabler for OEMs transitioning to advanced assisted and automated driving.
• Crafting differentiated product narratives that demonstrate how Wayve's technology enables L2+, L3 and L4 automation through Embodied AI.
• Defining clear value propositions across Wayve's product portfolio, highlighting unique selling points that drive adoption and engagement across the automotive sector.
• Monitoring and analysing market trends and competitive product offerings, particularly across ADAS and Automated Driving technologies, to inform positioning and marketing strategy.
• Creating and executing integrated marketing campaigns that communicate Wayve's product vision and technological leadership to automakers and establish a competitive position in the market.
• Developing content and promotional materials that build trust in AI-driven driving automation and generate consumer interest.
• Managing and tracking product-related marketing activities across website content, digital campaigns, product blogs, thought leadership, partner co-marketing and industry events.
• Developing marketing strategies that increase brand visibility and product awareness, generate leads and support market expansion.
• Collaborating with Automotive and Technical Business Development teams to create sales enablement materials, including presentations, competitive analyses, demos and targeted campaigns that support customer engagements.
• Working closely with Engineering, Product Management and Business Development to translate complex technical details about Wayve's Embodied AI products into compelling, customer-friendly messaging.
• Developing internal training and product-knowledge resources so teams across Wayve understand our products' value propositions and how they address critical industry challenges.

You should apply if:

• You have proven expertise in strategic positioning, value proposition development and product marketing within the automotive industry.
• You have strong knowledge of the full B2B marketing mix and understand its role in driving pipeline growth within complex, technical sales cycles.
• You bring exceptional collaboration, communication and project-management skills, with a keen eye for detail.
• You're resilient and optimistic when faced with challenges, viewing setbacks as opportunities for growth while maintaining focus on long-term objectives.
• You have outstanding writing, editing and content-development skills and can translate complex technical concepts into clear, compelling, customer-focused messaging.
• Direct experience in the autonomous vehicle industry or with automotive software and AI applications is a plus.
• A technical background is an asset.

About Wayve: Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

As a Senior Data Scientist on the Model Integration & Release team, you will own the analytical layer. You will turn evaluation outputs into findings that improve both our models and how we measure them, working across simulation, on-road experiment data, and internal evaluation tooling.

Your day-to-day: You will lead analysis of model and autonomous-vehicle performance data, translating complex signals from simulations, offline evaluation, and on-road testing into clear recommendations for engineering teams. You will investigate performance issues, apply statistical rigour to evaluation data, and identify where our metrics, test coverage, or scoring logic could be improved.

What you'll be working on:

• Shape how we learn from evaluation data by defining what deeper analysis means in practice and building the habits, tooling, and workflows that support it.
• Improve how we measure driving performance by identifying blind spots, inconsistencies, and gaps in simulation and offline metrics.
• Investigate on-road release-test findings, determine whether offline tests should have caught them, and improve evaluation coverage and measurement.
• Perform experiment analysis and apply statistical methods to provide confident, data-driven promotion recommendations for new driving models.
• Expand what 'good' means beyond intervention rates, using the behavioural and operational signals we already collect.
• Partner with Data Science and Validation on how evaluation methods and ground truth are defined, implemented, and maintained.
• Support partner-facing quality investigations by quantifying and tracking issues raised through OEM QA workflows.
• Document findings and recommendations in a way the team can act on within a weekly release cadence, and follow through so the same class of issue does not recur.

You should apply if:

• You have strong analytical and investigative skills and can move from a vague 'something looks off' to a clear, evidence-backed conclusion.
• You have hands-on experience working with ML evaluation data, driving-performance metrics, or complex test results at scale.
• You have experience applying statistical methods for A/B testing and experimentation, including confidence intervals, distributions, and sampling.
• You are proficient in Python or SQL and comfortable querying and analysing large datasets.
• You can operate with autonomy in a fast-moving environment: setting priorities within a broader goal and knowing when to solve an issue directly versus when to escalate or partner.
• You communicate clearly in writing and can turn messy investigations into concise, actionable recommendations for technical and non-technical audiences.
• You are genuinely curious about why a model behaves as it does and whether we are measuring the right things.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours, and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences, and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials, and more

Job Data by YubHub.

The Vehicle Software Engineering team builds and operates the software that keeps Wayve's autonomous vehicles running safely in the real world. The Tools & Infrastructure team owns the reliability stack for vehicle software: observability, incident management, operator tooling, and automation.

Your day-to-day:

• Building and improving tooling, automation, observability, and incident-management processes for vehicle software reliability
• Partnering closely with field engineers, software teams, and operations to diagnose reliability issues and improve system performance
• Owning hands-on debugging across Linux, low-level systems, logs, metrics, traces, and vehicle and production data
• Developing reliability improvements that reduce manual intervention and make issue detection, triage, and recovery faster
• Supporting vehicle-centric operations, including safety-operator tools and the reliability needs of our customer and partner programmes

You should apply if:

• You write production-quality code every day in Python, C++, or Rust
• You're comfortable debugging at the Linux and systems level, reading logs, tracing failures, and finding root cause in complex environments
• You have experience with CI/CD, containerisation, networking, distributed systems, databases, and observability/incident-management tooling such as DataDog, Prometheus, Grafana, OpenTelemetry, Splunk, Humio or similar
• You've diagnosed complex production or operational systems independently, seeing problems through to resolution rather than just escalating
• You communicate well across engineering, operations, and field teams, and know when to bring others in
• You can be onsite in Sunnyvale at least three days a week to work alongside the field teams you'll support

Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

Your work spans model architecture, data pipelines, evaluation frameworks and real-world deployment. You'll work closely with the AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable and ready for production.

Responsibilities:

• Developing and improving end-to-end driving models with state-of-the-art performance, robustness and generalisation.
• Driving projects on personalised and collaborative driving, including behaviour conditioning, comfort tuning and user alignment.
• Building evaluation pipelines and metrics for closed-loop and open-loop driving performance and product readiness.
• Curating and mining real-world and synthetic data to drive scenario diversity, coverage and feature-specific development.
• Influencing architecture choices, training methodologies and deployment pathways for production-scale learning systems.
• Collaborating across teams to keep integration smooth and iteration fast.
• Mentoring engineers and helping shape the long-term technical direction across Autonomy.

Requirements:

• Extensive and proven track record of shipping deep learning systems to production.
• Expert in deep learning (esp. sequential models, control, planning, or perception).
• Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices.
• Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components.
• Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

We're seeking an exceptional Application SW Engineer to join our Germany-based team within the Application Engineering org, focused on localising and advancing Wayve's autonomous driving technology for the German market.

Your day-to-day

• Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
• Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
• Integrate and validate drivers, middleware, and boot-time configurations.
• Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
• Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Implement system-level diagnostics, logging, and secure boot configuration.
• Develop automation for setup, flashing, health checks, and test execution on target hardware.
• Support other teams in porting and configuring our applications over Linux-based systems/ QNX/Adaptive AUTOSAR environments.

What you'll be working on In this role, you'll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems.

You should apply if

• 5+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C/C++, Bash, and Python.
• Strong understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
• Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
• Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
• Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
• Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

The AI Validation team develops the strategies, evidence, metrics, and test systems that build confidence in the Wayve AI Driver. This role is a TC4 individual contributor focused on L2+ driving features and new AI Driver capabilities.

Your Day-to-Day

• Translate product, systems, and safety requirements into validation strategies, test scenarios, metrics, coverage requirements, and acceptance criteria.
• Work hands-on with Python, evaluation pipelines, test implementation, simulation, and data analysis.
• Analyse results and communicate findings, risks, and evidence to Product, Safety, Release, and Autonomy Engineering stakeholders.
• Coordinate data, simulation, and evaluation dependencies so validation can run reliably and at scale.
• Validate L2+ feature-level driving behaviours and new AI Driver capabilities.
• Evaluate interactions between the automated-driving system and the human driver.
• Define general-purpose metrics for on-road and simulated driving behaviour.
• Provide hands-on technical direction across teams while remaining an individual contributor.

What You'll Be Working On

• L2+ driving features, new AI Driver capabilities, and interactions between automation and the human driver.
• Feature-level behavioural metrics, simulated and real-world scenarios, evaluation pipelines, and acceptance criteria.
• Evidence used to decide whether new capabilities are ready for product and release milestones.
• Python-based evaluation tooling, SQL and scalable data analysis, behavioural metrics, test coverage, and automated validation execution.

You Should Apply If

• You have experience validating autonomous-driving, robotics, or closely related intelligent products, particularly learned or adaptive behaviours.
• You are excited by L2+ feature behaviour, human–automation interaction, and new AI Driver capabilities.
• You have hands-on experience building scenarios, metrics, test suites, evaluation pipelines, or data-analysis workflows.
• You can use Python professionally and are comfortable with SQL or similar large-scale analysis tools.
• You have validated complex systems in simulation, the real world, or both.
• You communicate clearly, document decisions well, and can own ambiguous problems from concept through evidence and recommendation.
• ML, computer vision, motion planning, SOTIF, safety validation, or modern AI-tooling experience is advantageous.
• Direct automotive OEM experience is helpful but not essential.

About Wayve Wayve is building the leading AI platform for autonomous driving. We are pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience, developing the ability to adapt, generalise and improve at scale. Our ambition is to make autonomy universal.

How We Work

• Locations & Flexible Working: This role is based in Sunnyvale. We operate a hybrid working model combining in-person collaboration with focused time working remotely.

What's In It For You

• Salaries benchmarked against the market annually
• Meaningful equity
• Relocation support and visa sponsorship where applicable
• Hybrid working and hands-on access to workshops and labs
• Learning and development support
• Comprehensive location-dependent health, family, retirement, and wellbeing benefits

Job Data by YubHub.

As a Software Engineer on the Platform Integration team, you'll combine hands-on vehicle and bench work with production software development. Your work will directly enable safe, scalable deployment across multiple vehicle programs.

Responsibilities

• Support software bring-up on benches, HiL systems, and vehicles, including work at international test locations.
• Develop and maintain vehicle-facing software components and shared frameworks.
• Diagnose integration issues across software and hardware boundaries and drive them through resolution.
• Identify architectural improvements that reduce bespoke work and improve reuse.
• Build diagnostics, tooling, and metrics for robot-software reliability and performance.
• Produce clear documentation and runbooks for long-term supportability.
• Collaborate with hardware, safety, controls, calibration, and reliability teams.

What you'll be working on

• New vehicle-program bring-up across embedded compute, sensors, networks, and software services.
• Linux-based robotic and automotive systems with multi-process and distributed architectures.
• ROS2 or similar middleware, node development, message interfaces, and system integration.
• Sensor calibration, synchronisation, data validation, and system-level debugging.
• Automotive-grade compute platforms such as NVIDIA DRIVE and Qualcomm Snapdragon Ride.
• Vehicle communication systems including CAN and Automotive Ethernet.
• Shared abstractions and frameworks that improve reliability across programs.

Requirements

• Strong software-development experience in C++, Python, or Rust.
• Delivered production-quality software on Linux-based robotic, embedded, or automotive platforms.
• Understand ROS2 or similar robotics middleware and distributed-system integration.
• Hands-on experience integrating software with vehicle or embedded hardware.
• Can diagnose complex problems using logs, telemetry, on-target tests, and systematic experimentation.
• Understand vehicle sensors, networking, and the practical realities of platform bring-up.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours, and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences, and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials, and more

Job Data by YubHub.

Here's what this particular role covers.

Wayve's engineering teams are building the AI, robotics, simulation, data, and systems foundations needed to deploy a generalisable AI Driver safely and at scale.

AI Validation is a small, fast-growing team responsible for proving that the Wayve AI Driver behaves safely and effectively. The team owns end-to-end, simulation-led validation across driving competencies such as intersections, crossings, and lane changes.

Your day-to-day:

• Own validation for one or more driving-behaviour competencies from strategy through execution.
• Develop metrics and automated tests that connect product requirements to measurable driving performance.
• Run simulation-based evaluations, analyse results, and investigate failure modes.
• Define coverage requirements, test suites, and acceptance criteria with Product, Safety, and AV Engineering.
• Report clear findings to Release and Autonomy Engineering stakeholders.
• Work across data, simulation, and evaluation teams to remove dependencies and scale automated validation.

What you'll be working on:

• General-purpose metrics for on-road and simulated driving behaviour.
• Automated test frameworks for end-to-end learned driving systems.
• Scenario coverage for complex behaviour areas, including unprotected intersections, crosswalks, and lane changes.
• Validation strategies that work across multiple autonomy products.
• Evidence that directly influences release decisions and helps bring the Wayve AI Driver to customers globally.

You should apply if:

• You have hands-on experience with behaviour validation in autonomous driving, robotics, or a related product domain.
• You have worked beyond basic lane-keeping or conventional ADAS and understand L2+, L3, or L4 validation challenges.
• You can write Python professionally and have implemented metrics, tests, or evaluation tooling yourself.
• You are a systems thinker who enjoys turning ambiguous requirements into practical, automated tests.
• You can adapt to evolving simulation paradigms and communicate findings clearly.
• Experience with SQL, large datasets, AI tooling, or agentic workflows is helpful.

Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, we encourage you to apply even if you don't meet every requirement.

Wayve is building the leading AI platform for autonomous driving. We are pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand-coded rules or pre-mapped environments, our AI Driver learns to drive by understanding the world around it. Our ambition is to make autonomy universal. Wayve's mapless and hardware-agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2+ through to L4 as our core AI model scales.

This role is based in Sunnyvale, California. We operate a hybrid working model that combines in-person collaboration with focused time working remotely.

What's in it for you (location dependent):

• Salaries benchmarked against the market annually
• Meaningful equity
• Relocation support and visa sponsorship where applicable
• Hybrid working and access to vehicle workshops and labs
• Learning and development support
• Comprehensive location-dependent health, family, retirement, and wellbeing benefits

Job Data by YubHub.

The AI Validation team develops the strategies, evidence, metrics, and test systems that build confidence in the Wayve AI Driver. This role focuses primarily on ADAS and L2 autonomy functions. It works closely with automotive and OEM expectations, including product, customer, safety, and regulatory requirements.

Your Day-to-Day

• Translate product, systems, and safety requirements into validation strategies, test scenarios, metrics, coverage requirements, and acceptance criteria.
• Work hands-on with Python, evaluation pipelines, test implementation, simulation, and data analysis.
• Analyse results and communicate findings, risks, and evidence to Product, Safety, Release, and Autonomy Engineering stakeholders.
• Coordinate data, simulation, and evaluation dependencies so validation can run reliably and at scale.
• Develop comprehensive verification strategies for ADAS and L2 autonomy functions.
• Translate customer, OEM, safety, and regulatory expectations into practical validation evidence.
• Build test suites spanning simulation and physical testing environments.
• At M4, provide people leadership and coordinate validation delivery across the team; at TC4, provide senior technical ownership as an individual contributor.

What You'll Be Working On

• ADAS functions such as lane keeping and other assisted-driving capabilities.
• Validation strategies aligned with automotive OEM development, customer expectations, SOTIF, and emerging AV-industry standards.
• Simulated and physical test environments, comprehensive coverage, and evidence-based release decisions.
• Python-based evaluation tooling, SQL and scalable data analysis, behavioural metrics, test coverage, and automated validation execution.

You Should Apply If

• You understand how automotive companies and OEMs develop and validate ADAS or L2 autonomy products.
• You can translate customer, safety, regulatory, and product expectations into structured validation strategies.
• You have hands-on experience building scenarios, metrics, test suites, evaluation pipelines, or data-analysis workflows.
• You can use Python professionally and are comfortable with SQL or similar large-scale analysis tools.
• You have validated complex systems in simulation, the real world, or both.
• You communicate clearly, document decisions well, and can own ambiguous problems from concept through evidence and recommendation.
• ML, computer vision, motion planning, SOTIF, safety validation, or modern AI-tooling experience is advantageous.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity
• Relocation support and visa sponsorship where applicable
• Hybrid working and hands-on access to workshops and labs
• Learning and development support
• Comprehensive location-dependent health, family, retirement, and wellbeing benefits

Job Data by YubHub.

As a Shift Lead in our German Fleet Operations Team, you will lead and supervise a team of Vehicle Safety Operators (VSOs) during your shift, providing guidance, support, and direction to ensure tasks are completed efficiently and effectively. You will oversee the day-to-day operations within the shift, managing work schedules, assigning tasks, and monitoring performance to ensure company standards and KPIs are achieved.

Responsibilities:

• Lead and develop a high-performing team of VSOs, ensuring operational success and safety
• Drive adherence to safety and quality standards across all daily fleet activities
• Manage incident responses and reporting accurately and efficiently
• Support team development through coaching, regular feedback, and training coordination
• Work collaboratively with Quality Assurance and other stakeholders to raise the bar on operational excellence

Requirements:

• Hold a full clean German driving licence and have at least 5 years' driving experience in Europe
• Remain calm and controlled in pressured environments
• Take on board feedback and learn from your mistakes, employing a growth mindset
• Enjoy working with people and thrive in a team environment
• Know how to manage your wellbeing, including fatigue and stress, with proven personal strategies
• Have proven experience as a team coordinator or in a similar role
• Bring strong leadership and communication skills in 1:1, team, and cross-functional contexts
• Be highly organised, able to work under pressure and manage multiple priorities
• Demonstrate excellent problem-solving skills and attention to detail
• Be proficient with Google Workspace or Microsoft Office suite
• Possess strong and developing driving skills
• Be comfortable disclosing any second job as part of the application process
• Be willing to undergo a health check, and disclose any conditions that may affect your ability to safely operate a vehicle
• Understand employment is contingent on passing random drug and alcohol testing, per company policy
• Fluency in both English and German

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Learning and development budgets with support for training, conferences, and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials, and more

Job Data by YubHub.

Job Description

About our Engineering Teams

Wayve's Robot Software team builds the onboard software used by our development fleet to enable autonomous driving and collect the data needed to train new driving models. The OS team curates Wayve's bespoke Linux and QNX distributions and works closely with hardware, supply chain, field engineering, reliability, and other Robot Software teams.

You will help deliver a reliable, stable, and flexible operating-system platform that lets model developers and scientists iterate quickly while supporting new vehicles, sensors, peripherals, and product features.

Responsibilities

• Build and maintain embedded Linux and QNX platform software, kernels, and device drivers.
• Work with product, program, hardware, and engineering stakeholders to choose and deliver the right solutions.
• Develop high-quality C and C++ software that is observable and debuggable on remotely operated vehicles.
• Diagnose performance problems involving stack traces, core dumps, disk I/O, CPU load, memory, devices, and threading.
• Improve fault tolerance, diagnostics, testing, documentation, tooling, and ease of use.
• Mentor teammates and contribute to a strong engineering culture.

What you'll be working on

• Wayve's embedded Linux distribution, including Yocto, kernel configuration, device trees, boot sequence, and secure boot.
• Linux kernel and device-driver support for new sensors, peripherals, and compute platforms.
• High-throughput IPC middleware for robotics applications.
• Robust diagnostics and remote debugging for vehicles with limited connectivity.
• Stable platform software that supports rapid on-road experimentation and fleet operation.
• Integration across NVIDIA Jetson, NVIDIA DRIVE, QNX, and future vehicle-compute platforms.

Requirements

• Strong C and C++ experience building high-performance embedded Linux system software.
• Understanding of the full development lifecycle, from design through delivery and optimization.
• Hands-on knowledge of embedded Linux kernels, device trees, Yocto, boot flows, or user-space systems software.
• Ability to debug complex performance and reliability problems across system layers.
• Understanding of IPC mechanisms and middleware used in high-throughput robotics systems.
• Care about testing, documentation, observability, maintainability, and collaboration.

Experience with NVIDIA robotics or automotive platforms, QNX or another RTOS, secure boot, or ROS-style frameworks would be valuable.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours, and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences, and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials, and more

Job Data by YubHub.

Responsibilities

• Build and maintain embedded Linux and QNX platform software, kernels, and device drivers.
• Work with product, program, hardware, and engineering stakeholders to choose and deliver the right solutions.
• Develop high-quality C and C++ software that is observable and debuggable on remotely operated vehicles.
• Diagnose performance problems involving stack traces, core dumps, disk I/O, CPU load, memory, devices, and threading.
• Improve fault tolerance, diagnostics, testing, documentation, tooling, and ease of use.
• Mentor teammates and contribute to a strong engineering culture.

What you'll be working on

• Wayve's embedded Linux distribution, including Yocto, kernel configuration, device trees, boot sequence, and secure boot.
• Linux kernel and device-driver support for new sensors, peripherals, and compute platforms.
• High-throughput IPC middleware for robotics applications.
• Robust diagnostics and remote debugging for vehicles with limited connectivity.
• Stable platform software that supports rapid on-road experimentation and fleet operation.
• Integration across NVIDIA Jetson, NVIDIA DRIVE, QNX, and future vehicle-compute platforms.

Requirements

• Strong C and C++ experience building high-performance embedded Linux system software.
• Understanding of the full development lifecycle, from design through delivery and optimization.
• Hands-on knowledge of embedded Linux kernels, device trees, Yocto, boot flows, or user-space systems software.
• Ability to debug complex performance and reliability problems across system layers.
• Understanding of IPC mechanisms and middleware used in high-throughput robotics systems.
• Care about testing, documentation, observability, maintainability, and collaboration.

Benefits

• Salaries benchmarked against the market annually.
• Meaningful equity, sharing in the ownership and long-term success of Wayve.
• Relocation support and visa sponsorship where applicable.
• Hybrid working, core hours, and the chance to work hands-on in vehicle workshops and labs.
• Learning and development budgets with support for training, conferences, and growth.
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials, and more.

Job Data by YubHub.

As a Principal Software Engineer, you'll be a technical peer and trusted adviser to Robot Software leadership. You'll shape the 12–24 month technical roadmap, identify the highest-leverage platform investments, and lead cross-team delivery that improves reliability and developer velocity across multiple vehicle programs.

Responsibilities

• Partner with leadership to define and continuously refine the Robot Software technical roadmap.
• Lead a small number of high-impact platform initiatives from ambiguity through delivery.
• Align architecture and interfaces across Robot Software, Autonomy, Simulation, Evaluation, hardware, and OEM stakeholders.
• Design systems that are observable, diagnosable, and supportable from thousands of kilometres away.
• Improve developer experience, pre-merge validation, logging, metrics, deployment, and fault isolation.
• Mentor senior engineers and help teams reach clear, evidence-based technical decisions.

Requirements

• You have led large technical initiatives involving multiple engineering teams or senior collaborators.
• You can define architecture and strategy while remaining close enough to the code to debug difficult cross-domain problems.
• You are highly proficient with modern C++ and experienced in embedded, robotics, automotive, or similarly complex systems.
• You communicate concisely, build trust across teams, and can move contentious technical decisions toward evidence-based conclusions.
• You think in fleet-level outcomes such as reliability, uptime, deployment speed, and operational supportability.
• You are comfortable balancing deep work with critical, unplanned technical leadership needs.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

As a Mechanical Engineer at Wayve, you'll design and deliver robust integration solutions for compute and sensors on real-world vehicles, working on programmes with some of the world's leading automotive partners. You'll take ideas from concept through prototype and into manufacture, owning quality and design trade-offs along the way.

Responsibilities:

• Design and integrate mechanical solutions for sensors and compute across a range of vehicle platforms.
• Own mechanical design trade-offs across performance, cost, manufacturability and serviceability while maintaining a high quality bar.
• Develop and build HiLs, test rigs, jigs and fixtures to support validation and integration.
• Produce clear 2D drawings, assemblies and BOMs, applying GD&T to ensure repeatable builds.
• Partner with supply chain and external suppliers to source and manufacture parts using processes such as sheet metal, machining, vacuum casting and 3D printing.
• Collaborate cross-functionally with electronics and other engineering teams to integrate compute and sensor architectures.
• Create build instructions, inspection checklists and safety/quality documentation, and support knowledge transfer to Fleet and field teams.

Requirements:

• 4+ years of experience in mechanical or design engineering, with a portfolio of relevant work.
• Proficiency in SolidWorks, and ideally SolidWorks PDM, including master model development and multi-part assemblies.
• Experience with common manufacturing processes such as sheet metal, machining, vacuum casting and 3D printing, with strong design-for-manufacture judgement.
• Strong experience designing and building test jigs, rigs and fixtures, and are comfortable working hands-on in a workshop environment.
• Strong 2D drawing and assembly skills, experience managing BOMs, and a working knowledge of GD&T.
• Experience using risk assessment methods such as FMEA or DFMEA.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

As an ADAS Feature Engineer, you will help build the application-layer software that connects Wayve's AI capabilities to real vehicle behaviour. You will develop C++ feature logic, validation tools, and system behaviours that allow AI-native driving technology to operate robustly in real-world vehicle environments.

Your day-to-day tasks will include:

• Designing, implementing, and maintaining C++ application software for ADAS and active-safety-related vehicle features.
• Building feature-level logic on top of AI / ML outputs, including validation, feasibility checks, state machines, fallback behaviours, and safety-aware decision logic.
• Working with ML engineers to understand model outputs, limitations, failure modes, and how these translate into vehicle behaviour.
• Using logs, simulation, replay, and vehicle testing to debug, tune, and validate feature behaviour.
• Defining and improving metrics, test cases, and validation strategies for ADAS feature performance, robustness, and quality.
• Collaborating with product, systems, vehicle integration, and OEM-facing teams to translate requirements and real-world constraints into engineering solutions.
• Supporting field testing and iterative development, including investigation of vehicle issues, edge cases, and performance gaps.
• Contributing to software architecture, code quality, tooling, and engineering practices for feature development.

Essential skills and experience:

• Strong C++ software engineering experience, ideally in production or safety-relevant systems.
• Hands-on experience in ADAS, autonomous driving, robotics, vehicle software, active safety, or closely related domains.
• Practical understanding of vehicle feature development, including real-world testing, simulation, replay, logs, or prototype vehicle debugging.
• Ability to reason about vehicle behaviour, sensor/model inputs, timing, failure modes, and feature-level decision logic.
• Experience working cross-functionally with teams such as ML, perception, planning, controls, vehicle integration, product, or systems engineering.
• Strong problem-solving skills and the ability to make pragmatic engineering trade-offs under ambiguity.
• A quality mindset, with experience writing testable, maintainable software and using data to validate behaviour.

Desirable skills and experience:

• Experience with ADAS features such as AEB, ISA, AES, ACC, lane keeping, collision avoidance, trajectory validation, or active safety systems.
• Experience at an automotive OEM, Tier 1 supplier, autonomous driving company, robotics company, or vehicle technology startup.
• Familiarity with ML or AI-based autonomy systems, including how model outputs are consumed by downstream software.
• Experience with ROS, Linux, Bazel, CMake, Docker, QNX, protobuf, MCAP, CAN, calibration, or vehicle logging systems.
• Experience with vehicle test tracks, public-road testing, HIL/SIL, scenario-based testing, or NCAP-style validation.
• Familiarity with tools used in automotive development and testing, such as CANoe, Vector tools, MicroAutoBox, or similar.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours, and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences, and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials, and more

Job Data by YubHub.

You will turn calibration and estimation methods into reliable, observable, and resource-efficient components of the on-vehicle runtime.

Responsibilities:

• Extend the existing online calibration node, delivering robust production software within the team’s architecture and technical direction.
• Adapt and integrate calibration and estimation algorithms for continuous or on-demand onboard execution.
• Develop reliable handling for asynchronous sensor data, accelerator-produced features, and noisy, time-varying calibration parameters.
• Strengthen validation, gating, persistence, and interfaces between the calibration node, onboard state, runtime consumers, logging, and fleet-facing systems.
• Profile and optimise critical paths within compute, memory, storage, and latency constraints without compromising correctness or debuggability.
• Build comprehensive simulation, replay, bench, and on-vehicle tests, and improve metrics, diagnostics, and fleet-level observability across nominal and failure scenarios.

Requirements:

• Strong practical expertise in sensor calibration, state estimation, or a closely related robotics domain.
• Strong understanding of filtering and estimation methods, including Kalman-family filters, Bayesian estimation, smoothing, robust estimation, or factor-graph optimisation.
• Strong modern C++ software-engineering skills and proficiency in Python for prototyping, analysis, and test tooling.
• Experience productionising algorithm-heavy robotics software for vehicles, robots, drones, aerospace systems, or comparable edge platforms.
• Experience with asynchronous, high-throughput sensor data and hardware-accelerated pipelines.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours, and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences, and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials, and more

Job Data by YubHub.

Here's what this particular role covers.

The Legal Team enables the business to achieve its goals while appropriately identifying and managing legal risk. This role sits within the Commercial Legal team, reports to the Managing Counsel, and will play an important role as Wayve scales globally and brings embodied AI technology into real-world deployment.

Based in London, you'll work closely with commercial, procurement, engineering, product, privacy, People and Fleet Operations teams on a broad range of commercial and cross-border matters. You'll have significant ownership and autonomy, helping stakeholders understand legal and commercial risks and finding practical paths forward in areas where precedent and market practice may still be developing.

Your day-to-day: You'll independently manage a broad range of day-to-day commercial legal matters while partnering closely with colleagues across the business. You'll draft and negotiate agreements, advise on IP, AI, data, privacy and employment matters, and support strategic initiatives, international expansion and new product deployments.

This is an opportunity for a commercially minded lawyer who enjoys working at the intersection of law, AI, product innovation and operational scale. You'll need to be comfortable exercising judgement in a fast-moving environment, clearly communicating risk and helping the business find solutions rather than simply identifying obstacles.

What you'll be working on:

• Drafting, reviewing and negotiating a broad range of commercial agreements, from supplier, software/SaaS, services and other operational contracts through to bespoke agreements with OEM customers and Tier 1 suppliers involving significant IP, data, privacy and other technology-related issues.
• Advising on intellectual property, AI and data usage, including data used for AI development and training, alongside other members of the Legal team and external counsel where required.
• Working through novel and emerging legal questions at the intersection of law and AI, including areas where legal frameworks, precedent and market practice are still developing.
• Advising the People team on employment and HR matters relating to Wayve's global workforce, working with local counsel where specialist jurisdictional advice is required.
• Advising on data protection and privacy, including the use and sharing of data in connection with Wayve's products, commercial relationships, and AI development and training.
• Supporting strategic initiatives, international expansion and new product deployments from a commercial legal perspective.
• Supporting Fleet Operations and other operational teams in connection with the operation, testing and deployment of Wayve's vehicle fleet across international markets.
• Building and improving scalable legal processes, templates, playbooks and governance structures to support Wayve's growth and increasing contracting volume.
• Educating and enabling stakeholders on commercial risk, contracting best practices and legal processes, while supporting other members of the Legal team.

You should apply if:

• You are a qualified solicitor in England and Wales.
• You trained at a leading law firm and have approximately 2–4 years of relevant post-qualification experience, although we are open to candidates with more or less experience.
• You have strong experience drafting and negotiating complex commercial agreements, including procurement, supply chain, technology and vendor contracts.
• You are comfortable negotiating directly with commercial counterparties and can communicate legal positions clearly and pragmatically.
• You have excellent communication and stakeholder management skills and can distil complex legal issues into clear explanations of legal and commercial risk for non-legal stakeholders.
• You have experience supporting strategic commercial transactions and working closely with business stakeholders in fast-moving, technology-driven environments.
• You exercise strong commercial judgement, assessing legal risk in the context of broader business objectives and providing practical, solutions-oriented advice.
• You have experience advising on employment matters affecting a global workforce, or are willing to develop experience in this area, including navigating a fast-paced employment environment.
• You can operate autonomously on day-to-day matters, take initiative and exercise sound judgement about when to escalate.
• You have experience partnering cross-functionally and can communicate effectively with both legal and non-legal experts.
• You have strong organisational and prioritisation skills and can manage multiple workstreams and competing priorities.
• You're enthusiastic about getting stuck into a broad range of legal matters, including areas outside your existing experience, and are comfortable tackling novel questions where precedent may be limited.

Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, we encourage you to apply even if you don't meet every requirement.

More about Wayve: Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale.

How we work:

• Locations & Flexible Working: This is a full-time role based in our London office. Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely.

What's in it for you:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

As part of our Talent Acquisition team in London, you'll support the continued growth of our real-world testing and operations through high-impact hiring. The team partners closely with hiring managers and senior leaders to build and scale our global Fleet Operations safely and effectively.

Your day-to-day:

• Independently manage the end-to-end recruitment process for high-volume frontline, technical, specialist, and manager-level Fleet Operations roles across the UK, Europe, and beyond.
• Build representative candidate pipelines through direct sourcing and a range of attraction channels, developing scalable hiring approaches for Vehicle Safety Operators and other core roles.
• Partner with hiring managers and Directors to provide guidance on role definition, assessment, market conditions, candidate quality, and closing strategies.
• Deliver an inclusive, transparent, and well-managed candidate experience, supporting hiring teams with structured interviewing, timely feedback, and consistent decisions.
• Use recruitment data and market intelligence to monitor progress, highlight risks and bottlenecks, and improve funnel performance.
• Partner across Talent Acquisition, People, Finance, and Fleet Operations on workforce planning, employer branding, and process improvements.

What you'll be working on:

• Managing full-cycle recruitment for Fleet Operations roles, from intake and market mapping to offer and close.
• Designing and executing scalable volume-hiring campaigns and improving assessment processes.
• Building trusted, consultative relationships with stakeholders.
• Enhancing data-driven recruitment practices and using insights to inform hiring decisions.
• Supporting the recruitment needs of a fast-growing, dynamic operational environment at global scale.

You should apply if:

• You have demonstrated success in independently delivering full-cycle recruitment in a fast-paced or scaling organisation.
• You bring experience recruiting across a range of roles, including high-volume/frontline and specialist or manager-level positions.
• You have the confidence and judgement to advise senior stakeholders, challenge assumptions, and translate business needs into effective hiring strategies.
• You possess strong direct-sourcing skills and experience building pipelines via multiple attraction channels.
• You are hands-on, adaptable, highly organised, and able to balance competing priorities with strong attention to detail.
• You are comfortable using applicant tracking systems, recruitment data, and market insights to inform and communicate decisions.
• Experience recruiting within fleet operations, automotive, logistics, manufacturing, field operations, mobility, or other high-volume operational environments is desirable.
• You may have experience supporting hiring in multiple countries or working with globally distributed stakeholders.
• Familiarity with Ashby or a similar applicant tracking system is an advantage.
• Experience designing or improving volume-hiring campaigns, recruitment events, or structured assessment processes is desirable.
• Prior experience in a startup or scale-up environment is valued.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

The Supply Chain Programme Manager is a critical cross-functional role responsible for owning end-to-end supply chain execution across assigned programmes and product builds at Wayve. This includes prototype development, new product introduction (NPI) and supporting fleet launches.

You’ll serve as the primary Supply Chain lead for your programmes, ensuring programme deliverables, supplier compliance and seamless coordination across Engineering, Operations, Manufacturing and external partners.

Your day-to-day:

• Acting as the primary Supply Chain lead for assigned programmes and internal product builds, including prototypes, NPI and subassemblies.
• Owning end-to-end material readiness to support programme milestones across R&D, Engineering, Operations and Manufacturing.
• Collaborating with Engineering, Planning, Sourcing, Logistics, Finance and Suppliers to align supply chain activities with programme timelines.
• Acting as the strategic liaison between hardware engineering and procurement teams, including managing demand aggregation.
• Translating engineering BOMs and aggregated Technical Programme Manager demand into procurement plans.
• Identifying long-lead items and critical-path components early in the product lifecycle.
• Tracking material status throughout build phases and proactively escalating gaps and risks.
• Serving as the primary programme manager for upfitter and partner relationships, ensuring alignment across stakeholders.
• Driving upfitter and partner activities to ensure vehicles meet overall programme timelines and quality standards.
• Proactively identifying and resolving issues affecting vehicle build readiness, coordinating between internal teams and external partners.
• Maintaining clear communication cadences with upfitters and stakeholders, tracking milestones and escalating risks as needed.
• Defining, tracking and reporting key supply chain performance metrics, including material availability, total cost savings and inventory cycle count accuracy.
• Establishing programme-level supply chain dashboards and reporting cadences to provide leadership and cross-functional stakeholders with visibility.
• Analysing KPI trends to identify root causes of supply chain underperformance and driving corrective actions with suppliers and internal teams.
• Using KPI insights to continuously improve supply chain processes, reduce waste and increase overall programme efficiency.
• Collaborating with Supply Chain Team Leads to ensure direct purchasing, indirect purchasing and logistics suppliers meet compliance requirements, including legal, environmental, regulatory requirements such as TISAX and ISO, and ethical sourcing standards.
• Partnering with Legal and Compliance teams to ensure appropriate supplier agreements, NDAs and risk controls are in place.
• Developing contingency plans for supply disruptions and actively managing supply chain risks.

You should apply if:

• You have 10+ years of progressive experience in supply chain programme management, NPI and hardware operations.
• You have a strong understanding of BOM management, material planning and procurement processes.
• You have demonstrated experience managing cross-functional programmes across Engineering, Operations and Supply Chain.
• You bring strong analytical, problem-solving and risk-management skills.
• You have excellent communication and stakeholder-management capabilities.
• You are able to travel internally as needed.
• Experience in the automotive, consumer, hardware or robotics industries is preferred.
• Familiarity with supplier compliance frameworks, including TISAX, ISO standards and ethical sourcing requirements, is preferred.

About Wayve: Wayve is building the leading AI platform for autonomous driving. We are pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience, developing the ability to adapt, generalise and improve at scale.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

Your day-to-day:

• Conduct on-road experiments and testing with our vehicles throughout Germany, ensuring all activities are safe and efficient.
• Monitor artificial intelligence systems while driving, actively responding to any hazards to guarantee safe operation.
• Evaluate vehicle and AI performance during tests, providing structured, expert feedback to engineering and research teams.
• Support safety and engineering processes by identifying and reporting safety and vehicle maintenance issues.
• Deliver real-world driving input to help train and refine our AI before public road testing.

What you'll be working on:

• Testing and evaluating autonomous vehicle technology in actual road scenarios.
• Reporting system feedback and real-world driving insights to help improve our AI's performance.
• Maintaining safety standards, supporting incident reporting, and collaborating on issue resolution with engineering and safety teams.
• Travelling nationally and internationally as required for tests and demonstrations.

You should apply if:

• Hold a full, clean German driving licence.
• Have at least 5 years' driving experience, primarily in Germany, with no blameworthy insurance claims in the past three years.
• Fluent in English and German.
• Strong communicator who shows empathy and teamwork.
• Comfortable working independently and as part of a team.
• Adaptable, flexible, and motivated to solve problems with innovative solutions.
• Proficient in Microsoft Office suite or equivalent (Google Suite).
• Familiar with basic navigation, touchscreen gestures, typing, text editing, managing device settings, using basic apps, and troubleshooting.
• Able to work scheduled shifts (Monday to Sunday, 40 hours per week, with a rota issued 4 weeks in advance; shifts include 06:30-15:00 and 14:30-23:00, weekend work required).
• Will disclose any secondary employment as part of the application process.
• Willing to complete a health check (before/after offer) and disclose any conditions affecting safe operation.
• Able to pass pre-employment and ongoing drug and alcohol testing (including testing during onsite interview).

Desirable:

• Experience in vehicle testing, AV environments, or technical demonstrations.
• Knowledge of AV technology or autonomous systems.
• Customer-facing or hospitality experience.
• T1 and T2 Bertha certification.

Job Data by YubHub.

We're seeking an exceptional Application SW Engineer to join our Germany-based team within the Application Engineering org, focused on localising and advancing Wayve's autonomous driving technology for the German market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Germany from the ground up.

Your day-to-day

• Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
• Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
• Integrate and validate drivers, middleware, and boot-time configurations.
• Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
• Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Implement system-level diagnostics, logging, and secure boot configuration.
• Develop automation for setup, flashing, health checks, and test execution on target hardware.

What you'll be working on In this role, you'll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You'll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.

You should apply if

• 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C/C++, Bash, and Python.
• Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
• Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
• Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
• Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
• Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

We're seeking an exceptional Data Engineer to join our Germany-based team within the Application Engineering org, focused on localising and advancing Wayve's autonomous driving technology for the German market.

Your day-to-day

• Build and improve scalable data pipelines that support model development, evaluation, and production ML workflows for autonomous driving.
• Ingest, transform, and curate large-scale real-world, synthetic, and partner-provided datasets into structured, reliable, and model-ready formats aligned with standardized taxonomies and coordinate systems.
• Develop data quality checks, validation processes, and monitoring to ensure both raw data from our vehicle platforms and processed datasets are high-quality, complete, consistent, traceable, and fit for ML use cases.
• Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.
• Improve pipeline performance, reliability, and usability, helping reduce bottlenecks and increase iteration velocity across ML development.
• Collaborate closely with Machine Learning engineers, Data Corpus, AI Platform, and external partners to ensure data pipelines integrate effectively with production-scale learning systems.

What you'll be working on As a Data Engineer within the Machine Learning team in Application Software, you'll contribute to critical initiatives that push the frontier of model-based autonomous driving,both in terms of core driving performance and feature-level intelligence such as personalization, comfort, and collaboration.

Essential skills

• Proven experience building and operating scalable data pipelines or distributed data processing systems in production environments.
• Strong software engineering skills in Python, with a solid foundation in maintainable, reliable, and well-tested software development practices.
• Proficient in SQL and PySpark, with experience using warehouse/OLAP concepts, window functions, and Spark for distributed data processing.
• Experience with modern data pipeline architectures, including workflow orchestration and DAG-based systems such as Airflow, Flyte, Ray, or similar.
• Solid understanding of robotics and automated driving data concepts, including sensor characteristics, timestamping and clock synchronisation, coordinate transformations, calibration, and ego-motion signals such as GNSS/IMU and vehicle odometry.
• Understanding of machine learning development workflows, including training data generation, evaluation datasets, scenario mining, and model iteration.
• Excellent communication and collaborative skills, capable of working effectively with interdisciplinary teams.

Desirable skills

• Prior work in calibration, perception, imitation learning, or trajectory prediction.
• Experience with third-party dataset ingestion and transformation.
• Familiarity with automated driving data and scenario taxonomies, including ODD definitions, maneuver and behavior labels, scene classification, event tagging, semantic understanding.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

Responsibilities:

• Owning the lifecycle of robotaxi programs, from vehicle and fleet readiness to launch and in-market scaling, improving delivery through structured execution and coordination.
• Tracking and managing dependencies, risks and trade-offs across autonomy, vehicle, operations and safety, and escalating early with clear options.
• Keeping engineering, fleet operations, safety and local partner teams aligned, bridging Wayve's global R&D with local delivery in Japan.
• Providing hands-on program support for robotaxi launch and in-market operations, on the ground in Yokohama.
• Supporting local vehicle hardware and software programs as needed, as the only TPM in Japan.
• Running planning, stand-ups, reviews and retros that keep multi-team delivery predictable and reliable.
• Communicating progress and risk to engineers, partners and senior leaders, tailoring updates to each audience.
• Improving tooling, processes and ways of working, and sharing patterns across the TPM org.

Requirements:

• Bias for action: 5+ years leading complex, multi-team programs.
• Technically strong across software and hardware: Credible with engineers across autonomy, vehicle software, and vehicle hardware.
• Stays neutral and adapts under pressure: Effective in ambiguous, safety-critical environments.
• Strong project management: Skilled at planning, prioritising, and managing risk and dependencies across teams.
• Exceptional communicator & collaborator: Operating from a remote office, you keep distributed teams aligned across time zones.
• Cross-cultural & on the ground: Comfortable working across geographies and cultures, and hands-on with vehicles and operations in Japan.
• Generalist range: As the only TPM in-country, comfortable flexing beyond robotaxi to support vehicle hardware and software programs.
• Data-driven: Comfortable defining and using metrics to steer delivery and decisions.
• Growth mindset: Open to feedback and always looking to improve.
• Systems thinking: You reason about how the parts of a complex system fit together, and how a change in one area ripples into others.
• Product-minded: You focus on outcomes and the people your programs serve.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

You’ll join a focused, high-impact senior team working with large-scale training and fleet data, alongside partners in research, simulation, evaluation, and applied engineering.

Your day-to-day You’ll lead large-scale data enrichment and curation initiatives, collaborating across pre- and mid-training, reward modelling, self-supervised labelling, and the Data Enrichment Platform.

You’ll develop workflows for mining hard and rare events, investigate how models perform in the real world, and improve the efficiency and reliability of our machine learning operations stack.

What you’ll be working on

• Lead on large-scale data enrichment within the Core Model Safety team, including collaborations with Pre/Midtraining, reward modelling, self-supervised labelling, and the Data Enrichment Platform.
• Build workflows for large-scale enrichment, data curation, and hard/rare event mining in support of robust model performance and introspection.
• Design and train out-of-distribution detection mechanisms to enable robust driverless operation.
• Work at the intersection of model engineering, infrastructure, compute, and data, shaping the boundaries and architecture across those teams.
• Use your judgement and expertise to improve the overall efficiency of the machine learning and operations stack.

Essential

• Hands-on experience with ML systems deployed in the real world.
• Proficiency in Python and PyTorch, with strong software engineering practices and hands-on experience building reliable machine learning training and evaluation systems.
• A strong track record with ML operations and infrastructure, including experience with distributed computing environments and large-scale inference.
• Senior-level ownership and collaboration: able to lead a substantial technical area, work across research and engineering boundaries, and bring others along through clear written and verbal communication.

Desirable

• Prior experience in autonomous vehicles or robotics with hands-on deployment and closed-loop validation on physical systems.
• Experience mining, generating, or evaluating rare events using simulation and fleet or heterogeneous real-world data.
• Experience setting up cloud-based monitoring solutions for large-scale operations, including dashboards, logging, and real-time alerts.
• Experience with transformer-based and multimodal architectures, including vision-language models (VLM), vision-language-action models (VLA), or equivalent.
• Proficiency in C++, CUDA, distributed training, or performance optimization for production machine learning systems.

What’s in it for you

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

Responsibilities:

• Defining strategy, roadmaps and product requirements with riders in mind, and owning the Japan Robotaxi roadmap.
• Leading cross-functional working groups across Engineering, HMI, AI, Systems and Operations to deliver core launches in 2026.
• Serving as the voice of the customer, gathering and prioritising rider and partner feedback, as well as being a technical system designer.
• Working with AI, software, hardware, policy, operations and partner teams to resolve bugs and ship features.
• Establishing launch readiness: integration with partners, coverage of customer use cases, AI driver performance, top issues and launch risks.
• Staying immersed in data and metrics, using them day to day to steer product decisions.
• Working closely with partners including Uber and Nissan while staying accountable for Robotaxi product performance in Japan.
• Operating independently from day one, identifying gaps and doing whatever is needed rather than owning one narrow feature.

Requirements:

• Proven track record of technical product management experience, shipping products with a consumer mindset in a very technical domain.
• Strong written and verbal communication skills with demonstrated ability to work in cross-functional teams.
• Strong technical background in AI/ML, software engineering, robotics, or a related discipline.
• Comfortable working in fast-paced, iterative environments with evolving priorities.
• Full Fluency in Japanese and English.
• Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field.

Benefits:

• Salaries benchmarked against the market annually.
• Meaningful equity, sharing in the ownership and long term success of Wayve.
• Relocation support and visa sponsorship where applicable.
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs.
• Learning and development budgets with support for training, conferences and growth.
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more.

Job Data by YubHub.

As a Staff Platform Engineer, you'll help build, operate and improve the cloud platforms, build systems and continuous integration and delivery infrastructure that support Wayve's software development lifecycle. Working as part of a global team, you'll create reliable, scalable, secure and efficient environments for software development, testing, deployment and release.

Your day-to-day tasks will include:

• Building, operating and improving cloud infrastructure, CI/CD pipelines and build systems that support development, testing and production, primarily in Azure.
• Developing and maintaining Infrastructure-as-Code (e.g. Terraform and Ansible), automation and developer tooling for reliable, repeatable delivery.
• Operating and scaling CI/CD services, including build agents, runners, artifact storage, distributed execution, caching and containerised workloads.
• Implementing observability, monitoring system health, and troubleshooting infrastructure, pipeline, build and deployment issues.
• Optimising cloud systems for performance, reliability, security and cost efficiency.
• Working with engineering teams across Japan, the UK and the US to make sure platforms meet application needs and support scalable software delivery.
• Contributing to the DevOps support channel, incident response and root cause analysis, and reducing manual operations through automation.

Requirements:

• Strong troubleshooting, problem-solving, and communication skills.
• 8 years of experience in DevOps, cloud infrastructure, CI/CD, build engineering, developer infrastructure, or related engineering roles.
• Experience with one or more of the following:
• At least one cloud platform, such as Azure, AWS, or GCP.
• Infrastructure-as-Code tools, such as Terraform and Ansible.
• CI/CD platforms such as GitHub Actions, GitLab CI, Jenkins, Buildkite, Azure DevOps, or similar.
• Build tooling and concepts including dependency management, caching, incremental builds, and reproducible builds.
• Networking, cloud architecture, system reliability, and secure access controls.
• Experience with Linux, Git, and shell scripting.

Desirable skills:

• Experience with build systems such as Bazel, Buildkite, or similar.
• Experience operating CI/CD infrastructure at scale, including distributed execution, caching, and artifact management.
• Experience with Docker, Kubernetes, and container-based build or deployment environments.
• Familiarity with monitoring and observability tools such as Prometheus, Grafana, and ELK.
• Understanding of software supply-chain security, secure build practices, and cloud security best practices.
• Experience supporting large, multi-language codebases or distributed systems.
• Experience improving cloud cost efficiency and operational resilience.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

About Our Engineering Teams

Wayve's engineering teams are building the AI, robotics, simulation, data, and systems foundations needed to deploy a generalisable AI Driver safely and at scale.

About the Measurement Team

The Measurement team within AI Evaluation builds and qualifies the offline scene-understanding models Wayve uses to measure driving performance after on-road runs and in simulation. Offline modelling provides greater compute, larger models, and access to past and future temporal context, creating unique opportunities to build credible evidence at fleet scale.

Your Day-to-Day

• Build, train, and fine-tune scene-understanding models for offline measurement.
• Adapt on-vehicle architectures and Wayve foundation models for offline use.
• Improve accuracy and generalisation across vehicle platforms, geographies, and driving conditions.
• Benchmark your models, diagnose failure modes, and use error analysis to guide iteration.
• Define quality bars and statistically credible evidence for validation pipelines and safety cases.
• Collaborate with on-vehicle modelling, evaluation, data curation, and simulation teams.
• Mentor others and contribute to strong machine-learning and engineering practices.

What You'll Be Working On

• Transformer-based, multimodal, and vision-language models for detection, segmentation, classification, and scene understanding.
• Offline models that use higher compute budgets, larger capacity, and bidirectional temporal context.
• Automated benchmarks that assess coverage, mine rare events, and measure driving behaviour.
• Fleet-scale camera, lidar, and simulation datasets.
• Evidence used in model-development decisions, validation pipelines, customer deliverables, and safety cases.

You Should Apply If

• You have 4+ years in ML engineering and have trained and shipped deep-learning models in production.
• You have hands-on experience with modern computer-vision, transformer, multimodal, or VLM architectures.
• You have adapted or fine-tuned large pretrained or foundation models and understand data, loss, and representation trade-offs.
• You are proficient in Python and PyTorch or a similar framework and comfortable with large-scale training.
• You can take ambiguous modelling problems from scoping to a working, measurable solution.
• Experience in 3D scene understanding, offline modelling, auto-labelling, temporal or world models, autonomous vehicles, robotics, or distributed training is valuable.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity
• Relocation support and visa sponsorship where applicable
• Hybrid working and access to vehicle workshops and labs
• Learning and development support
• Comprehensive location-dependent health, family, retirement, and wellbeing benefits

Job Data by YubHub.

As the Radar Lead at Wayve, you'll be a key technical expert within the hardware team, supporting the integration of high-quality radar sensor data into our driver model. You'll build and maintain a deep understanding of the automotive radar landscape, define radar data quality guidelines, and provide domain expertise across integration, debugging and testing.

Your responsibilities include:

• Continuously monitoring and analysing advancements in automotive radar technologies and signal processing
• Developing and enforcing guidelines for high-quality radar point clouds and sensor data
• Providing radar domain expertise for integrating sensor data into the AV2.0 driver model
• Building and enhancing test frameworks to evaluate the impact of different radar inputs on model performance
• Working closely with software and model development teams to improve radar data processing and handling

Requirements:

• Proven experience working with automotive radar technologies and integrating them into software-driven systems
• Strong experience in radar data quality control, including calibration, resolution, noise handling, and range, velocity and angular accuracy considerations
• Strong analytical skills and ability to evaluate the impact of sensor data and sensor characteristics on model performance
• Effective communication and presentation skills
• Ability to work collaboratively across functions

Nice to have:

• Basic scripting capability in Python, Bash or similar tools
• Experience working in ADAS or autonomous vehicle environments

We offer:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

About our Fleet Operations Engineering Teams

Our Fleet Operations Engineering team ensures the seamless operation, reliability, and safety of our autonomous vehicle fleet. As a vital part of the business, the team is responsible for rapid fault diagnosis, vehicle support, and process optimisation in high-impact environments. Field Engineers work closely with global teams, driving efficiency through hands-on technical problem-solving and collaboration.

Your day-to-day

• Diagnose and resolve vehicle software and hardware faults onsite to maintain fleet uptime
• Perform rapid, structured fault triage, ensuring a 5-minute response time
• Follow standardised diagnosis and repair protocols, maintaining efficiency and compliance
• Collaborate with global field engineering colleagues to coordinate technical support and escalate issues
• Communicate clearly with the Field Engineering Lead regarding repair progress and shift handovers
• Participate in on-call rotations and provide technical coverage across multiple regions
• Maintain strict adherence to safety and compliance standards for all repairs
• Support ongoing improvements by identifying issues and providing actionable feedback

What you’ll be working on

• Performing onsite diagnostics and repairs to keep the autonomous fleet operational
• Delivering rapid technical support and fault resolution under defined SLAs
• Collaborating with engineers and cross-functional teams to troubleshoot challenging issues
• Ensuring proper documentation and communication for smooth transitions between shifts and locations
• Enhancing operational processes and contributing feedback for continuous improvement
• Adhering to and promoting strict safety protocols and compliance standards
• Using platforms like Datadog, Mender, and JIRA for monitoring, diagnostics, and reporting
• Participating in a shift rota and on-call schedule, covering weekends and multiple time zones

You should apply if

• You hold a full German driving license
• You have strong experience in vehicle diagnostics, fault triage, and repair,preferably in automotive, fleet operations, or ADAS technology
• You excel at troubleshooting and resolving technical issues quickly (meeting strict SLAs)
• You communicate clearly and collaborate well with global and cross-functional teams
• You are rigorous about safety, incident management, and compliance to operational procedures
• You thrive in fast-paced, evolving environments and are flexible for on-call/weekend shifts
• You are familiar with diagnostic tools, software monitoring platforms (e.g., Datadog, Mender), and ticketing systems like JIRA
• You are fluent in both English and German

Desirable

• Bachelor’s degree (B.Sc. or equivalent) in Automotive, Mechanical, Electrical/Electronic Engineering, Computer Science, Robotics, or a related technical field
• Knowledge of ADAS testing, safe vehicle-operation procedures, and high-voltage/EV certification
• High-voltage/EV experience and practical diagnostic skills with electric vehicles
• Experience identifying recurring issues and improving operational processes for safety and efficiency

Additional Requirements

• Shift rota: Monday–Sunday (weekend work required); shifts 06:00–15:00 or 13:00–22:00
• On-site at our office in Leonberg
• Must disclose any additional employment as part of the application process
• Role subject to pre/post health check and ongoing drug/alcohol testing per company policy
• Employment contingent upon successful training and ongoing compliance

Job Data by YubHub.

We're seeking an exceptional Integration Engineer to join our Germany-based team within the Application Engineering org, focused on localising and advancing Wayve's autonomous driving technology for the German market.

Your day-to-day

• Provide hands-on technical support to customers throughout the development and validation process
• Serve as the bridge between customer vehicle integration teams and Wayve's internal engineering teams
• Troubleshoot and resolve technical issues related to our technology independently
• Escalate complex or critical issues to the appropriate internal stakeholders
• Develop deep understanding of customer systems and APIs (e.g. drive-by-wire) to effectively guide internal teams
• Maintain a system-level perspective to identify root causes, whether vehicle-based or software-related

What you'll be working on In this role, you will play a critical part in supporting our customers throughout the entire development lifecycle, from the initial integration phase to the final validation of our technology.

You should apply if

• Strong problem-solving skills and analytical thinking
• Proven ability to lead investigations into platform or vehicle issues in collaboration with internal and customer teams
• Extensive hands-on experience with development vehicles
• Proficiency with diagnostic and calibration tools (e.g. CANape or similar)
• Familiarity with terminal usage and a willingness to develop basic programming skills
• Solid understanding of vehicle communication protocols (e.g. CAN, Ethernet) and automotive system architectures
• Practical experience working in an automotive environment, ideally with a track record of bringing products to production
• Excellent communication and interpersonal skills for effective collaboration with both customers and internal teams
• Willingness to travel as required

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

The Robotaxi team is taking Wayve's AI Driver to its first public-scale deployment, with fare-paying riders on global ride-hail platforms. This team owns the end-to-end performance operating system for the product: the metrics, triage, and release gates that decide whether the autonomy is good enough to ship, and stays great release over release. For an end-to-end learned driving system, there's no existing playbook to follow: this team is defining what "performance" means from scratch.

Your day-to-day:

• Own and evolve the autonomy performance measurement framework for Robotaxi (driving + pick-up/drop-off): the metrics, dashboards, and narrative leadership uses to make ship/no-ship decisions
• Build and run the end-to-end performance improvement loop: detect issues, triage and prioritise, drive root-cause investigations, and land fixes across model, robot software, backend, and evaluation tooling
• Lead cross-functional execution across AV core, evaluation/validation, robotics, robot software, triage/systems, and SRE, aligning roadmaps to performance outcomes without direct reporting authority
• Define and enforce performance release gates and regression detection for production deployments, owning readiness calls and incident follow-through
• Stay hands-on in the data and code when needed (Python/C++/SQL) to accelerate debugging and unblock delivery

What you'll be working on:

• Standing up Robotaxi's performance operating system from scratch: metrics, triage funnel, release gates, and rollback plans for an end-to-end learned driving system with no existing playbook to copy
• External-facing performance reporting that's trusted and repeatable enough to share directly with partners like Uber
• Integrating new model features and architectures from core engineering into live Robotaxi operations
• The stack underneath it all: WayveCode (Python + C++), Looker, Databricks/SQL, Grafana, and internal evaluation and sim tooling
• In your first 90 days: mapping the top prioritised fixes across backend, robot, and driving model, and shipping a new driving model deployment and robot software release end-to-end

You should apply if:

• You've demonstrated cross-functional engineering leadership, steering complex delivery across multiple teams and stakeholders to production outcomes, without relying on direct line management
• You bring a strong product and customer orientation, and can connect technical performance metrics to rider experience, operational outcomes, and launch readiness
• You have strong autonomy/robotics performance debugging experience, including deep hands-on work with real-world issues and time-series/real-time signals, rather than just managing a queue
• You have strong technical foundations in learned systems/ML-driven robotics, and can reason about model behaviour, failure modes, and measurement pitfalls in data-driven autonomy stacks
• You're production-fluent in Python, C++, and SQL, comfortable working directly in code and analytics pipelines to diagnose problems and validate improvements
• You have experience owning or co-owning releases to a fleet of robots/vehicles in production, including release processes, gates, rollback plans, and regression handling
• You're familiar with modern data/observability stacks used in autonomy programs (e.g. Databricks/SQL, Grafana, internal eval/sim tooling)

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partner discounts and more

Job Data by YubHub.

The Vehicle Modelling team at Wayve builds virtual vehicle models that directly improve simulation accuracy and how well our cars drive. The team's output feeds simulation, evaluation tools, fleet-wide metrics, and future commercial partnerships, giving it impact across the whole company.

Your day-to-day:

• Develop virtual vehicle models using physics-based and data-driven techniques
• Validate models against on-road data and implement correlation improvements
• Convert models into efficient, high-quality software components that meet accuracy, performance, and scalability requirements
• Plan, run, and analyse experimental tests at the track or with external partners to improve model accuracy
• Share results and insights with stakeholders across robotics, simulation, and product teams

What you'll be working on:

• Virtual vehicle models that integrate with advanced modelling technologies, becoming the go-to tool for simulation and evaluation at Wayve
• Metrics and KPIs that define what "representative" means for our simulations, feeding gaps back into modelling
• Model integration across Wayve's simulation, hardware-in-the-loop, and correlation pipelines
• Cross-functional vehicle characterisation work with robotics, simulation, and product teams
• Room to specialise over time, whether that's pure modelling, correlation/metrics, or experimental track work, as the team scales

You should apply if:

• Experience developing mathematical models and simulation algorithms for vehicle dynamics, robotics, or control systems
• A strong grasp of classical mechanics, numerical analysis, and computational methods
• You've validated simulation models against experimental data, and know what "good enough" looks like
• Confident writing production-quality code in C++ or Python
• Bring previous experience in vehicle dynamics for autonomous vehicles, automotive, or motorsport
• Comfortable with data-driven approaches, such as machine learning or system identification, for modelling systems with unknown physical parameters
• Know your way around high-fidelity vehicle dynamics tools (e.g. Dymola, CarSim, CarMaker) and how to integrate them into simulation workflows

Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale.

Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely.

What's in it for you (Location dependent):

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partner discounts and more

Job Data by YubHub.

The Fleet Operations Team is responsible for maintaining the safety, performance, and operational readiness of Wayve's autonomous vehicle fleet , from routine servicing and diagnostics to urgent repairs and vehicle readiness for high-visibility events.

Your day-to-day:

• Monitor and evaluate the effectiveness of training programs and make recommendations for improvements.
• Maintain training records and ensure compliance with company policies and legal requirements.
• Conduct regular assessments of operating standards across teams and individuals to ensure they meet quality standards and objectives.
• Develop and maintain training materials, including manuals, presentations, and online resources.
• Collaborate with subject matter experts to identify areas for improvement in training content, delivery and operating standards.
• Monitor and analyse training metrics to identify trends and opportunities for improvement.
• Develop and oversee the implementation of quality assurance processes for training programs and operating standards.
• In conjunction with Team Leads, assist with staff professional development and course completion.
• Interact with cross-functional stakeholders to understand training requirements for future business needs.

You should apply if:

• You hold a full, clean Japan driving licence, with at least 8 years' driving experience (mainly in Japan), and no blameworthy insurance claims in the past three years.
• You remain calm and controlled in a pressured environment.
• You take feedback on board and learn from mistakes, with a growth mindset toward your own development.
• You enjoy working with people and thrive in a team environment.
• You know how to manage your wellbeing, including fatigue and stress, with proven personal strategies.
• You have proven experience as a team coordinator or similar role.
• You have strong leadership and communication skills , 1:1, with your team, and with stakeholders upward and laterally.
• You can work under pressure and manage multiple priorities, with excellent problem-solving skills and attention to detail.
• You're proficient in Google Workspace or Microsoft Office.
• You have excellent written and verbal communication, time management and organisational skills.
• You're fluent in Japanese and English.

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

About our Core Model Safety Team The Core Model Safety team builds foundational capabilities for assisted and automated driving, including collision avoidance, model understanding, and robustness under failure.

Your day-to-day

• Set the technical strategy and roadmap for fault detection and fallback, including its behavioural scope, operating envelope, system interfaces, and measurable acceptance criteria
• Design and train fault detection mechanisms using the methods best supported by evidence, to enable robust driverless operation
• Collaborate across functions and expertise areas, including machine learning, inference optimisation, and software engineering
• Lead integration into the shared driving stack, align technical decisions across teams, and raise the bar through architecture reviews, mentoring, and clear communication of risks, trade-offs, and evidence
• Use your judgement and expertise to improve the overall robustness of the robot system, beyond just fault detection and fallback

What you'll be working on:

• Fault detection and fallback systems that let the vehicle respond safely when something goes wrong, from strategy through to deployment on the car
• Collision avoidance, model understanding, and robustness under failure: the foundational capabilities this team owns for assisted and automated driving
• Fault detection methods chosen on the strength of evidence, built to hold up under real driverless operation
• Integration into the shared driving stack, working closely with machine learning, inference optimisation, and software engineering partners
• Large-scale training and fleet data, with close partners in research, simulation, evaluation, and applied engineering

You should apply if:

• Proficient in developing, implementing, and troubleshooting robotics solutions, backed by practical, real-world experience
• A track record of staff-level technical leadership: setting direction for ambiguous programmes, aligning multiple teams, and carrying work from research through production deployment
• Strong technical judgement and communication, able to make safety-relevant trade-offs explicit and lead without relying on formal authority
• Comfortable working in Python and C++ for robotics
• Experience deploying and maintaining fleets of robots or vehicles at scale under real-world conditions
• Bonus if you've built tooling to triage and debug robotic systems, or set up cloud-based monitoring for large-scale fleets
• Familiarity with embedded or real-time systems, or hands-on machine learning and inference optimisation experience, is a plus

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partner discounts and more

Job Data by YubHub.

About our Data Quality & Provenance Team

Our Data Quality & Provenance team sits within Wayve's AI Platform organisation and builds the trusted data foundations behind our self-driving technology. We transform vast volumes of fleet and simulation data into discoverable, reliable and reproducible datasets for model training, evaluation, replay, scenario mining and safety analysis. Operating at petabyte scale, the team defines the data products, standards and systems that enable our engineering teams to use data with confidence.

Your day-to-day

• Design and operate scalable batch and streaming pipelines for multimodal fleet and simulation data.
• Build data models, catalogues, indexes and query capabilities that make sensor, vehicle-state, map and event data easy to discover and use.
• Create versioned, reproducible datasets for training, evaluation, replay, scenario mining and safety analysis.
• Develop workflows for data ingestion, synchronisation, transformation, curation, labelling and quality validation.
• Partner with autonomy, ML, simulation and safety engineers to define schemas, APIs and data contracts.
• Improve the reliability, performance and cost efficiency of large-scale storage and compute workloads.

What you'll be working on

• Petabyte-scale data products supporting autonomous-driving development across ML, autonomy, simulation and safety teams.
• Trusted datasets with strong versioning, lineage and reproducibility guarantees.
• Metadata, geospatial and temporal indexing that enables data discovery, selection and scenario mining.
• Systems that combine real-world fleet logs with simulation and synthetic data for closed-loop development.
• Data-quality standards, observability, access controls, retention policies and incident-response processes.
• Cloud-based storage and distributed-compute infrastructure designed for reliability, scalability and cost efficiency.

You should apply if

• You have strong hands-on Python and SQL skills, supported by solid production software-engineering fundamentals.
• You have designed and operated large-scale distributed data systems beyond small analytics or reporting pipelines.
• You have production experience with distributed-processing and workflow-orchestration technologies such as Spark, Flyte or Airflow.
• You have built cloud-based data platforms using object storage and understand data organisation, versioning, querying, governance and cost management.
• You have owned data quality, lineage, observability, reproducibility and incident response for production data workflows.
• You can translate ambiguous requirements from ML, data-science, robotics or similarly technical teams into durable, reusable platform capabilities.
• You are comfortable working in ambiguity and helping define the standards and operating model for a growing data platform.
• Experience with autonomous vehicles, ADAS, robotics, mapping, sensor-rich systems, geospatial data or multimodal datasets would be an advantage.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Data by YubHub.

As an Infrastructure Engineer at Wayve, you'll be responsible for designing, deploying, and maintaining the secure, reliable foundations that enable our engineers and researchers to develop and test Embodied AI at scale.

Your day-to-day tasks will include:

• Taking local ownership of Tel Aviv's network and site infrastructure
• Resolving outages and improving performance
• Supporting office growth and new deployments
• Collaborating with global teams to maintain consistent configuration, security, and observability standards
• Providing pragmatic, hands-on infrastructure and IT support to local colleagues

You'll be working on:

• Designing, deploying, and maintaining wired and wireless networks, VLANs, VPNs, routing, and firewall policies
• Building secure, high-bandwidth, and resilient infrastructure for AI development and autonomous vehicle testing
• Improving automation and repeatability through Terraform, Ansible, Python, and Bash
• Supporting hybrid connectivity between on-premises infrastructure and cloud environments
• Strengthening monitoring, documentation, and incident response across our global sites
• Helping establish scalable infrastructure standards that can be reused as Wayve continues to grow

Requirements:

• 5+ years of experience in infrastructure, networking, DevOps, or a related role
• Strong networking fundamentals across TCP/IP, DHCP, DNS, routing, switching, VPNs, and firewalls
• Hands-on experience with Linux systems administration and enterprise networking platforms such as Juniper, Cisco, or MikroTik
• Ability to automate infrastructure using Bash or Python and tools such as Terraform and Ansible
• Experience working with hybrid on-premises and cloud environments; Azure experience is beneficial
• Understanding of infrastructure security, including network segmentation, endpoint controls, certificate management, and secure access

Benefits:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long-term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours, and the chance to work hands-on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences, and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials, and more

Job Data by YubHub.