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.

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.

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.

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.

You’ll work in the Fleet Reliability Engineering team, ensuring systems supporting Wayve’s autonomous vehicle operations are reliable, observable, and scalable.

Your day-to-day tasks will include:

• Monitoring live system health using logs, metrics, traces, alerts, and reliability dashboards
• Investigating incidents end-to-end, forming hypotheses, analysing data, and driving problems through mitigation to root cause
• Participating in the on-call rotation, contributing to post-incident reviews, and partnering with teams across Wayve to prevent recurring failures
• Building tools and automation to reduce manual operational work and improve issue detection and resolution
• Influencing system design to turn recurring operational pain points into lasting improvements

You should apply if:

• You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems
• You’re a strong programmer in Python, C++, or Rust, with solid Linux fundamentals and experience with cloud platforms, containers, and Kubernetes
• You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry, or Splunk
• You’re comfortable debugging complex distributed systems across software, networking, operating systems, and hardware-adjacent environments

Benefits include:

• 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

• Lead the operational delivery of internal Remote Operations and Feature Testing activities
• Translate testing priorities and business requirements into clear tactical plans
• Plan and coordinate testing activities across different locations and countries
• Balance staffing, vehicle availability, shift coverage and testing requirements
• Monitor and ensure testing activities are delivered safely, efficiently, and in line with agreed KPIs and standards
• Serve as the escalation point for safety concerns, operational risks and serious incidents
• Communicate and implement new processes, SOPs, and operational changes
• Use data, operational feedback and team input to improve planning, resource utilisation, and delivery

Responsibilities

• Line managing the Remote Operations and Feature Testing VSO team by setting clear expectations and supporting their performance, development and wellbeing
• Promoting a safety-first culture and ensuring that operational standards are consistently met
• Supporting the prioritisation and execution of testing activities, including feature testing and remote support missions
• Identifying operational blockers and collaborating with cross-functional teams to resolve them
• Supporting the scaling of internal testing operations while maintaining quality and consistency

Requirements

• Proven experience in operational management, ideally in automotive testing, fleet operations, logistics or technology operations
• Strong people leadership experience with direct management of operational teams
• Ability to translate high-level priorities into actionable operational plans
• Strong resource and shift planning skills, and experience in performance management and operational KPIs
• Effective communication and comfort working cross-functionally
• Sound decision-making skills under pressure, with the ability to manage competing priorities
• Strong safety mindset and experience in controlled or safety-sensitive environments
• Ability to work well in dynamic environments and influence operational priorities across teams

Desirable

• Experience with ADAS, autonomous vehicle testing, automotive development or remote operations
• Understanding of vehicle testing, data collection, feature testing or safety driver operations
• Experience with VSOs, technicians, field engineers or similar operational teams
• Experience planning activities across countries or markets
• German language skills or experience working within German operational environments
• Experience with Fleetio, Jira, Slack, planning systems or KPI dashboards

Job Data by YubHub.

We're seeking an exceptional Customer 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. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Germany from the ground up.

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 will ensure that customers receive responsive, high-quality technical support and work closely with both our clients and internal engineering teams to ensure seamless integration of our technology into their vehicles.

Located near our customers, you will be in a prime position to perform rapid diagnostics, identify issues in real time, and collaborate directly with customer engineering teams. This proximity allows you to maintain a holistic understanding of the system and effectively distinguish between vehicle-related issues and those specific to the Wayve AI Driver.

Responsibilities:

• 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

Requirements:

• 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.

As a Test Engineer, you'll independently own the design and delivery of automated verification for a defined area of our embedded software stack. You'll build robust, reusable test automation, drive failures to root cause across engineering boundaries, and steadily raise the bar on coverage, reliability, and traceability.

Responsibilities:

• Develop automation for system functionality tests at component, integration, and system levels, across software and hardware boundaries.
• Automate open-loop and closed-loop replay based Tests, reliability and fault-injection tests to support verification, release, coverage expansion, and debug workflows.
• Lead root-cause investigations for failures found during test campaigns, collaborating across hardware, software, and infrastructure teams.
• Optimise buildkite CI/CD-integrated test workflows for rapid, reliable, and repeatable execution.
• Integrate third-party verification tools including JAMA, MC/DC, and MISRA; manage artefacts via Artifactory and Azure.
• Define and track KPIs and quality metrics for system testing, supporting data-driven validation and release decisions.
• Uncover software and hardware bugs through increased test coverage and report findings through JIRA.
• Identify and implement infrastructure improvements that enhance test coverage, failure traceability, and compliance reporting.
• Review, create, and adhere to Risk Assessments to ensure all testing activities are conducted safely and responsibly.

Requirements:

• Hands-on experience with system-level verification and validation in robotics, embedded software, or mechatronic systems, with a track record of delivering test automation independently.
• Experience with L2+ hands-off, L3, or L4 automated driving systems.
• Knowledge of consumer safety-rating protocols, DCAS regulatory testing, and automotive cybersecurity testing and standards.
• Experience with HiL testing and tooling using CAN, Ethernet, GMSL, dSPACE, Vector, Xylon, or similar.
• Strong proficiency in Python, including developing automation test frameworks with pytest.
• Proven ability in interface-level testing, including hardware/software interactions and embedded interfaces.
• Experience integrating software quality assurance tools and standards.
• Knowledge of open- and closed-loop HiL replay using dSPACE or other emulators.
• Proficient in CI/CD principles and related tooling.
• Experience with test automation dashboards, logging, and reporting infrastructure.
• Experience developing or testing automotive software across embedded and system levels.
• Strong cross-functional communication skills; able to work collaboratively across software, hardware, autonomy, DevOps, and product 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.

You will lead cross-functional teams in executing complex customer programs, ensuring the successful achievement of program objectives.

Responsibilities:

• Lead cross-functional teams in executing complex customer programs
• Establish and maintain a comprehensive project management framework
• Engage with customers to understand and address their technical requirements and needs
• Collaborate closely with teams across Product, R&D, and other departments
• Ensure efficient reporting both externally to customers and internally within the organisation
• Work closely with internal development teams to align customer requirements with internal milestone planning and execution
• Provide first-level support to customers

Requirements:

• Extensive program management experience in complex automotive software development
• Proficient in utilising program management tools (e.g., Jira)
• Robust technical expertise with comprehensive knowledge of the automotive industry and software development
• A proactive problem-solving mindset
• Exceptional communication and interpersonal skills
• Demonstrated ability to collaborate effectively across multidisciplinary teams
• Willingness to travel as needed

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, enhanced maternity and paternity leave, retirement or pension where applicable

Job Data by YubHub.

As a Cyber Security Engineer, you will play a hands-on role in shaping our AV capabilities in Germany from the ground up. Your day-to-day tasks will include:

• TARA Assessment of core onboard SW
• Defining system assets and preliminary security level architecture
• Leading TARA assessments per architecture definition
• Deriving external and internal vulnerabilities and control mitigations
• Developing a cybersecurity concept and plan that supports OEM cybersecurity compliance
• Enlisting both onboard and development SW and third-party library entry points and risks and mitigation plans
• Leading SW DevOp security requirements and validation
• Leading specifications for SW DevOp nightly regression flow with respect to security screening
• Leading design reviews, defining a method and a flow for security improvements, vulnerability and pentests
• Collaborating with OEMs and Tier 1s to align on external requirements/assumptions based on formulated cybersecurity concept
• Participating in penetration testing alignment and collaborating live with security consultants or red teams

As part of our mission to scale end-to-end embodied AI for autonomous driving, we are building a fully automotive-compliant ML software product. You will be critical in defining what level and mitigation policies the company must follow as part of DevOp operation and which security assumptions are translated to OEM and Tier 1 responsibilities as part of the in-vehicle architecture.

Requirements:

• 5+ years of experience in cybersecurity systems engineering
• Proven experience orchestrating company's cybersecurity DevOp policies, running report investigations, and ability to drive SW improvements with respect to cybersecurity
• Ability to apply TARA (Threat Analysis and Risk Assessment), experience with STRIDE, HEAVENS 2.0, attack trees, or similar frameworks
• Understanding of ISO/SAE 21434 and mapping threats to cybersecurity goals
• Skill in assessing impact × feasibility, and converting results into mitigations
• Familiarity with Secure Boot, TPM, HSMs, and key provisioning
• Understanding of vehicle trust boundaries, secure diagnostics, and network segmentation
• Hands-on experience in fuzzing, static analysis, reverse engineering, and using tools like Wireshark, CANoe, Binwalk, Ghidra, IDA, Metasploit, AFL, etc.
• Comfort working with CI/CD pipelines to enforce security gates
• Ability to work cross-functionally and translate domain analysis into technical and product requirements
• Experience working in an agile, fast-scaling environment with a strong execution mindset

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 Control 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: You'll play a pivotal role in integrating, validating, and optimising our MPC-based trajectory controller and AI software stack on new vehicle platforms ensuring safe, reliable, and high-performance driving in diverse real-world conditions.

Responsibilities:

• Integrate and validate Wayve's AI software stack and MPC-based trajectory controller on customer hardware and vehicle platforms.
• Maintain and enhance the controller (coupled with ML-driven trajectory generation) to improve performance, stability, and reliability across different vehicles and environments.
• Establish and advance control and integration methods for ML-coupled systems, ensuring robustness and scalability across operational domains.
• Test and optimise system behaviour in challenging driving scenarios , from highways to urban settings and adverse weather conditions.
• Develop and refine simulation and evaluation pipelines to guarantee real-world optimality and control quality.
• Collaborate with cross-functional teams (Verification, Release, OEM partners) to diagnose and resolve integration and performance issues.

Requirements:

• Strong theoretical knowledge of control theory, optimisation, model-predictive control, state estimation and numerical methods.
• Practical experience in developing and tuning control systems for physical systems, both in simulation and in the real world.
• Experience productionising and scaling systems including real-time controllers and monitoring their performance at scale.
• Strong C++ and Python.

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 Quality & Provenance Team Our Data Quality & Provenance team sits within Wayve's AI Platform organisation and builds the evidence that helps teams make confident decisions about the data underpinning our embodied AI systems.

Your day-to-day

• Define measurable, statistically rigorous concepts of data quality, including coverage, label quality, uncertainty, provenance and model performance.
• Apply statistical-inference methods to multi-rater annotation, label ambiguity, dataset coverage and black-box model evaluation.
• Partner with annotation, autonomy and evaluation teams to translate practical quality questions into defensible metrics.
• Build automated reports that clearly communicate confidence, limitations and appropriate interpretation.
• Analyse large annotation datasets using Python and SQL to identify quality issues and inform decisions.
• Iterate on metrics and reporting based on feedback from the teams using them.

What you'll be working on

• Statistical methods for distinguishing genuine data-quality problems from label ambiguity, inconsistent annotation or evaluation noise.
• Labeler and dataset metrics that support training-data selection, simulation, annotation acceptance and model evaluation.
• Reusable quality artefacts that replace one-off analyses with registered, automated metrics and reports.
• Multi-rater and human-in-the-loop ML systems, including approaches such as Dawid–Skene-style models, psychometrics and inter-rater agreement.
• Quality standards spanning coverage, uncertainty, provenance, annotation quality and predictive-model performance.
• Integration of data-science outputs into the platform workflows used by engineering and research teams

You should apply if

• You have strong foundations in classical statistics, including experimental design, sampling, modelling, estimation and inference.
• You have practical experience with rater or annotator modelling, inter-rater agreement, label uncertainty or related methods.
• You understand data quality across dimensions such as coverage, label quality, uncertainty, provenance and model performance.
• You have worked with annotation tooling, QA methodologies, human-in-the-loop ML systems or multi-rater labelled datasets.
• You have strong Python and SQL skills and are confident analysing large, complex datasets.
• You can turn ambiguous stakeholder questions into rigorous, usable metrics and clearly communicate uncertainty, limitations and decision implications.
• Experience with probabilistic or Bayesian modelling, production platform integrations or safety-critical data would be an advantage.

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 Configuration Manager, you’ll own configuration and change management across Wayve’s full V-model development lifecycle. You’ll bring proven automotive rigour and adapt it to Wayve’s pace, shaping processes that give teams the control and evidence they need without weighing them down with unnecessary administration.

Responsibilities

• Build and maintain the configuration item list across the full V-model, keeping requirements, architecture, software, verification evidence and releases clearly identified and controlled.
• Run change management in Jira, coordinating reviews, defining review checklists and state transitions, and ensuring only intended, approved changes are implemented.
• Establish and maintain consistent baselines across Jira, GitHub, Jama Connect, Enterprise Architect, Google Drive and Notion, ensuring teams can identify and work from the correct versions.
• Support requirements management, including requirements structures, attributes, traceability, baselining, change management and tooling.
• Partner with engineering teams and process owners to identify gaps, maintain configuration status records, conduct configuration audits and prepare evidence for internal, customer and external assessments.

Requirements

• You have automotive experience and have helped establish a full development lifecycle end-to-end, working across software, systems engineering and requirements management.
• You bring proven configuration and change management experience, including configuration item lists, baselines, change control, status accounting and configuration audits, alongside practical naming conventions and templates.
• You’re proactive, organise your work effectively and can drive implementation largely independently, taking ownership from defining an approach through to making it work in practice.
• You communicate clearly and confidently across engineering teams and are comfortable holding the line on process discipline with senior stakeholders while maintaining constructive working relationships.
• You’re pragmatic and can adapt established automotive practices to Wayve’s context, defining the right level of process rather than over-engineering the solution.

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.

About our Verification and Release Test Team

Wayve's Verification and Release Test team sits at the intersection of hardware, embedded software and machine learning models. Our testing spans component, system and vehicle levels, and we build novel test automation in-house to identify issues earlier in development. We pride ourselves on finding the most efficient and effective ways to deliver the most valuable results for the company.

Your day-to-day

• Develop automation for system functionality tests at component, integration and system levels, working across software and hardware boundaries.
• Lead root-cause investigations for failures identified during test campaigns, collaborating with hardware, software, infrastructure and DevOps teams to resolve issues.
• Analyse test results, uncover software and hardware bugs, and report findings through Jira with clear evidence to support debugging.
• Optimise Buildkite CI/CD-integrated test workflows for rapid, reliable and repeatable execution.
• Review, create and follow risk assessments to ensure all testing activities are conducted safely and responsibly.

What you'll be working on:

• Independently owning the design and delivery of automated verification for a defined area of our embedded software stack, steadily raising the bar on coverage, reliability and traceability.
• Building open-loop and closed-loop hardware-in-the-loop (HIL) replay tests, alongside reliability and fault-injection tests, to support verification, release and debugging.
• Automating HIL test setups and improving test infrastructure to expand coverage, make failures easier to trace and strengthen compliance reporting.
• Integrating requirements, coverage and compliance workflows, including Jama, MC/DC coverage analysis and MISRA checks, and managing test artefacts through Artifactory and Azure.
• Developing traceability dashboards and defining KPIs and quality metrics that support data-driven validation and release decisions.

You should apply if:

• You have hands-on experience with system-level verification and validation in robotics, embedded software or mechatronic systems, with a track record of independently delivering test automation.
• You're highly proficient in Python and have experience developing automation test frameworks using pytest.
• You've worked with HIL testing and tooling, including interfaces such as CAN, Ethernet or GMSL, and tools from dSPACE, Vector, Xylon or similar providers.
• You understand open-loop and closed-loop HIL replay testing using dSPACE or other emulators.
• You're familiar with automotive safety and process standards, including ISO 26262, ASPICE and SOTIF, and have experience integrating requirements and test-management tools such as Jama and Xray.
• You're proficient in CI/CD principles and related tooling, such as GitLab CI, Buildkite and Bazel.
• You have experience developing or testing automotive software at embedded and system levels, including hardware/software interactions and interface-level testing, and have worked with L2+ hands-off, L3 or L4 automated driving systems.
• You have knowledge of consumer safety-rating protocols such as Euro NCAP, including AEB and LSS/LKA scenarios; DCAS regulatory testing under UN R171; and automotive cybersecurity testing and standards, including ISO/SAE 21434 and UN R155.
• You've worked with test automation dashboards, logging and reporting infrastructure, using tools such as Grafana, Looker, Datadog and Jira.
• You're a self-starter with a sharp eye for improvement who communicates clearly and works effectively across software, hardware, autonomy, DevOps and product teams.
• Ideally, you've contributed to improvements in test methods, safety procedures or operational efficiency, and are familiar with data management and version control tools such as Git.
• Experience using agentic AI coding tools such as Cursor or Claude Code to accelerate and improve test development, debugging and automation workflows would also be valuable.

Job Data by YubHub.