Key responsibilities include:

• Owning the design and evolution of the build, test, and release systems that power the platform.
• Defining architecture for a Bazel-based monorepo, including performance, caching, and dependency graph scalability.
• Improving build performance and correctness, including incremental builds, caching strategies, and graph optimisation.
• Designing and operating test infrastructure, focusing on reliability, isolation, and signal quality.
• Building and improving release and rollout systems, including deployment pipelines, canarying, and rollback.
• Improving end-to-end developer velocity, from local iteration to production deployment.
• Debugging and resolving complex issues across the pipeline, including build failures, dependency issues, test flakiness, and release regressions.
• Establishing standards for reproducibility, observability, and operability across build and release systems.
• Identifying and eliminating systemic failure modes across the development lifecycle.

Requirements include:

• 10 or more years of experience building and operating production systems at scale, with ownership of critical infrastructure.
• Strong experience with build systems and dependency graphs such as Bazel, Buck, Pants, or similar, or the ability to quickly ramp on Bazel in a large monorepo environment.
• Experience designing and improving build, test, and release pipelines, with a focus on performance, correctness, and reproducibility.
• Strong systems understanding of how code moves from source to build to test to production.
• Hands-on experience debugging complex system issues, including build failures, dependency issues, test flakiness, and release regressions.
• Experience owning systems with strict reliability and performance requirements.
• Strong proficiency in at least one of Python, Go, or Rust, and comfort working across languages in a polyglot codebase.
• Proven ability to define architecture and drive technical decisions end-to-end.
• Strong judgment in balancing developer velocity, system complexity, and reliability.
• Ability to operate effectively in ambiguous, fast-moving environments with high ownership.

Preferred qualifications include deep experience with Bazel at scale, including remote caching, remote execution, and build graph optimisation, as well as experience designing hermetic and reproducible build systems.

At World Labs, we're looking for fearless innovators who thrive on challenges and aren't afraid to tackle the impossible. We're resilient builders who can weather the storms of groundbreaking research and come out stronger. We're mission-driven, collaborative, and passionate about creating the best spatially intelligent AI systems, and using them to empower people.

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You will be the technical authority on hardware root of trust, secure boot, firmware integrity, embedded system hardening, and the security of third-party hardware integrations. Your work ensures that every component on the vessel is resilient against tampering, exploitation, and supply chain compromise, designed in from the start and maintained across the fleet lifecycle.

Key Responsibilities:

• Conduct hardware security assessments including fault injection, side-channel analysis, interface evaluation, and bus protocol analysis across Saronic-built and third-party hardware including sensors, radios, navigation systems, propulsion controllers, and communication modules

• Evaluate and harden physical interfaces, debug ports, maintenance access points, and removable media interfaces on vessel hardware

• Evaluate supply chain security risks for hardware components and recommend provenance validation, anti-tamper, and attestation controls

• Develop and maintain a hardware security testing capability including tooling, methodology, and repeatable test procedures

• Design and implement secure boot chains establishing hardware root of trust from power-on through application launch, integrating TPM, secure elements, and HSMs for device identity, key storage, measured boot, and remote attestation

• Design and implement secure firmware update mechanisms including signed updates, rollback protection, and verified delivery across the fleet

• Own the cryptographic key lifecycle for hardware-bound keys, including provisioning, rotation, revocation, and escrow

• Harden embedded Linux systems on vessel platforms, including kernel configuration, mandatory access controls, secure IPC, and attack surface reduction

• Secure operational technology protocols and interfaces used in vessel control systems, propulsion, navigation, and sensor fusion including CAN bus, NMEA, and maritime/industrial communication protocols

• Define security boundaries, trust zones, and segmentation strategies for vessel-internal compute and communication architectures

• Drive threat modeling across vessel hardware subsystems and translate findings into actionable engineering requirements

• Produce secure-by-design reference architectures and define hardware and firmware security standards, testing requirements, and acceptance criteria integrated into engineering workflows

Required Qualifications:

• 6+ years of hands-on experience in hardware security, embedded systems security, firmware security, or a closely related security engineering role

• Deep expertise in hardware hacking techniques including fault injection, side-channel attacks, JTAG/SWD exploitation, bus sniffing/injection, and physical security assessments

• Demonstrated experience designing and implementing secure boot chains, hardware root of trust, and secure firmware update mechanisms in production systems

• Strong experience assessing third-party hardware integrations and evaluating supply chain security risks

• Deep knowledge of embedded Linux security hardening, kernel security, and mandatory access control frameworks

• Experience with operational technology security, industrial protocols, or control system security

• Proficiency in C, C++, Python, or Rust in the context of firmware, embedded, or systems-level security work, and with hardware security testing tools

• Ability to obtain and maintain a security clearance

Preferred Qualifications:

• Experience in defense, aerospace, robotics, autonomy, maritime, or other high-assurance environments

• Experience with autonomous systems, unmanned vehicles, or safety-critical embedded platforms

• Experience with RTOS, microcontroller security, or resource-constrained device environments

• Knowledge of CAN bus, NMEA protocols, maritime communication systems, RF/GPS/GNSS security, or ICS security standards

• Familiarity with defense or safety-critical compliance frameworks (NIST SP 800-53, IEC 62443, Common Criteria, or equivalent)

• Relevant certifications such as OSEE, GXPN, GSE, or hardware-focused credentials

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What We're All About

At Quantexa, we're a team of bright minds working together to deliver unparalleled solutions to our clients. Our technology started out in FinTech, helping tackle serious criminal activity, and now its potential is virtually limitless. We're a real team, collaborating and constantly engineering better and better solutions.

The Opportunity

Our Solution Architecture team plays a pivotal role in our mission to deliver top-tier service to our clients. As a Solution Architect at Quantexa, you'll engage in a multitude of customer projects, collaborating closely with internal and external stakeholders. You'll be responsible for crafting technical designs and providing expert guidance for all customer implementations.

What You'll Be Doing

As a Solution Architect, you'll play a crucial role in securing the success of our customer delivery projects. Your responsibilities will include:

• Producing creative solution and environment designs to meet complex competing requirements
• Serving as the go-to person for challenging technical situations and using your problem-solving skills, technical knowledge, and bigger picture view to solve them
• Acting as a trusted advisor to our customers to help them make the right decisions and get the most value out of their Quantexa implementation
• Using your knowledge and experience to make improvements to business-wide best practices

Requirements

To be successful in this role, you'll need to bring the following skills and experience:

• A determination to build systems that maximise customer value
• Extensive experience in hands-on technical deliveries, with a proven track record of leading technical teams through the end-to-end process, from initial design to successful implementation of production systems
• Excellent technical skills, including hands-on coding experience of at least one of the following: Spark, Scala, Java, or production-grade Python
• Proven expertise in technical and solution design, encompassing the development of systems tailored to address complex data-focused functional requirements and non-functional requirements such as performance, maintainability, security, and seamless systems integration
• Extensive experience in working with data and successfully navigating common challenges, including data quality assurance, updates, adaptability to data structure changes, and effective rollback strategies
• Excellent client-facing, communication, and presentation skills
• Native or fluent proficiency in both Japanese and English, with the ability to speak, read, and write in both languages

Benefits

At Quantexa, we offer a range of benefits to support your career development and well-being, including:

• Competitive salary
• Company bonus
• Free Calm App Subscription
• Ongoing personal development
• Great company-wide socials
• Plus other local benefits

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We're looking for a skilled Solution Architect to join our team at Quantexa. As a Solution Architect, you will play a pivotal role in delivering unparalleled solutions to our clients. You will engage in a multitude of customer projects, collaborating closely with a diverse range of internal and external stakeholders.

What You'll Be Doing

• Producing creative solution and environment designs to meet complex competing requirements
• Serving as the go-to person for challenging technical situations and using your problem-solving skills, technical knowledge and bigger picture view to solve them
• Acting as a trusted advisor to our customers to help them make the right decisions and get the most value out of their Quantexa implementation
• Using your knowledge and experience to make improvements to business-wide best practices

Requirements

• A determination to build systems which maximise customer value
• Extensive experience in hands-on technical deliveries, with a proven track record of leading technical teams through the end-to-end process, from initial design to successful implementation of production systems
• Excellent technical skills including hands-on coding experience of at least one of the following Spark, Scala, Java or production grade Python and comprehensive grasp of Software Development Life Cycle (SDLC) principles, encompassing proficiency in unit testing, version control using Git, and the establishment of engineering best practices
• Proven expertise in technical and solution design, encompassing the development of systems tailored to address complex data focussed functional requirements and non-functional requirements such as performance, maintainability, security, and seamless systems integration
• Extensive experience in working with data and successfully navigating common challenges, including data quality assurance, updates, adaptability to data structure changes, and effective rollback strategies
• Excellent client facing, communication and presentation skills

Benefits

• Competitive salary
• Company bonus
• Annual leave, plus national holidays + your birthday off!
• Regularly bench-marked salary rates
• Well-being days
• Volunteer Day off
• Work from Home Equipment
• Free Calm App Subscription #1 app for meditation, relaxation and sleep
• Continuous Training and Development, including access to Udemy Business
• Spend up to 2 months working outside of your country of employment over a rolling 12-month period with our 'Work from Anywhere' policy
• Employee Referral Program
• Team Social Budget & Company-wide Socials

Our Mission

We have one mission. To help businesses grow. To make data easier. And to make the world a better place. We're not a start-up. Not anymore. But we've not been around that long either. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. One culture, made of many. Heading in one direction – the future.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

Our mandate is to make inference deployment boring and unattended.

Anthropic serves Claude to millions of users across GPUs, TPUs, and Trainium — and every model update must reach production safely, quickly, and without disrupting service. We're building the systems that make inference deployment continuous and unattended.

As a Software Engineer on the Launch Engineering team, you'll design and build the deployment infrastructure that moves inference code from merge to production. This is a resource-constrained optimization problem at its core: validation and deployment consume the same accelerator chips that serve customer traffic — your deploys compete with live user requests for the same hardware. Every model brings different fleet sizes, startup times, and correctness requirements, so the system must adapt continuously. You'll build systems that navigate these constraints — orchestrating validation, scheduling deployments intelligently, and driving down cycle time from merge to production.

If you've built deployment systems at scale and gravitate toward the hardest problems at the intersection of automation and resource management, this team will give you an outsized scope to work on them.

Responsibilities

• Own deployment orchestration that continuously moves validated inference builds into production across GPU, TPU, and Trainium fleets, unattended under normal conditions
• Improve capacity-aware deployment scheduling to maximize deployment throughput against constrained accelerator budgets and variable fleet sizes
• Extend deployment observability — dashboards and tooling that answer "what code is running in production," "where is my commit," and "what validation passed for this deploy"
• Drive down cycle time from code merge to production with pipeline architectures that minimize serial dependencies and maximize parallelism
• Optimize fleet rollout strategies for large-scale deployments across thousands of GPU, TPU, and Trainium chips, minimizing disruption to serving capacity
• Evolve self-service model onboarding so that new models can be added to the continuous deployment pipeline without Launch Engineering involvement
• Partner across the Inference organization with teams owning validation, autoscaling, and model routing to integrate deployment automation with their systems

You May Be a Good Fit If You Have

• 5+ years of experience building deployment, release, or delivery infrastructure at scale
• Strong software engineering skills with experience designing systems that manage complex state machines and multi-stage pipelines
• Experience with deployment systems where resource constraints shape the design — whether that's fleet capacity, network bandwidth, hardware availability, or coordinated rollout windows
• A track record of building automation that measurably improves deployment velocity and reliability
• Proficiency with Kubernetes-based deployments, rolling update mechanics, and container orchestration
• Comfort working across the stack — from backend services and databases to CLI tools and web UIs
• Strong communication skills and the ability to work closely with oncall engineers, model teams, and infrastructure partners

Strong Candidates May Also Have

• Experience with ML inference or training infrastructure deployment, particularly across multiple accelerator types (GPU, TPU, Trainium)
• Background in capacity planning or resource-constrained scheduling (e.g., bin-packing, fleet management, job scheduling with hardware affinity)
• Experience with progressive delivery in systems with long validation cycles: canary/soak testing, blue-green deployments, traffic shifting, automated rollback
• Experience at companies with large-scale release engineering challenges (mobile release trains, monorepo deployments, multi-datacenter rollouts)
• Experience with Python and/or Rust in production systems

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

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Location

San Francisco

Employment Type

Full time

Department

Consumer Products

Compensation

• $293K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

Location: San Francisco, CA (Hybrid: 4 days onsite/week). Relocation assistance available.

About the Team:

We build foundational platform software that enables reliable, secure, and performant products. The team works across system layers and partners closely with adjacent engineering groups to deliver robust capabilities from concept through launch.

About the Role:

We’re seeking a Systems Software Engineer to design, implement, and debug core platform components and the pipelines that build and update system images. You’ll work across operating system layers, focusing on performance, security, and deep system debugging to ship production‑grade systems.

In this role, you will:

• Design, implement, and debug system‑level components and services across kernel and user space.

• Configure and maintain OS platform services (init, services, networking, security policies) and related tooling.

• Build and operate image and update pipelines, ensuring reliability, reproducibility, and rollback safety.

• Instrument and analyze performance using profiling and tracing; optimize CPU, memory, I/O, and power usage.

• Own platform observability and reliability: logging, crash capture, watchdogs, and diagnostics.

• Collaborate with cross‑functional teams to define interfaces and deliver end‑to‑end features.

• Establish strong engineering practices: code review, CI, reproducible builds, and release management.

• Partner with external suppliers to support builds and deployments.

You might thrive in this role if you:

• Have shipped production systems software on modern operating systems.

• Are proficient in C/C++ and a scripting language, and comfortable with OS internals (concurrency, memory management, filesystems, networking, power management).

• Bring strong systems debugging skills using debuggers, tracers, profilers, and logs across kernel/user‑space boundaries.

• Understand configuration of platform services and interfaces, and can translate requirements into stable, well‑documented APIs.

• Are fluent in user‑space foundations (service management, IPC, networking, packaging, automation).

• Have experience building platform images and designing update mechanisms for reliability and security.

Preferred Qualifications:

• Exposure to platform security (secure boot, sandboxing, mandatory access controls, attestation).

• Experience with graphics/media, hardware acceleration, or high‑throughput data paths.

• Familiarity with connectivity stacks and network configuration.

• Observability and diagnostics in distributed or resource‑constrained environments.

• Work on open‑source platforms or contributions to systems projects.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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