The role 

In this role, you will lead Wayve’s Controls team, an experienced and growing group responsible for delivering robust real-world vehicle motion across our product platforms. You will guide a team working across controls, trajectory generation, and the interface with the Wayve AI Driver. The role combines technical leadership, team development, and delivery ownership, with the opportunity to shape both near-term product impact and the longer-term evolution of our technology.  This is a high-impact opportunity to lead a critical team at the intersection of control, AI, and real-world vehicle behavior.

Key responsibilities:

• Lead and develop the Motion Controls team, providing strong people leadership, technical direction, and clear priorities for an experienced and growing group of engineers.
• Own the team’s technical roadmap and delivery across short and long term horizons, translating product and system needs into clear priorities, technical plans, and timely execution.
• Own the interface between the Wayve AI Driver, trajectory generation, and control in a deployed autonomy system.
• Provide strong technical judgment across control, trajectory generation, and adjacent ML-informed system design, holding a high bar for engineering quality, technical rigor, deployed system performance, and motion quality.
• Work with key partners to align technical plans, product needs, and integration constraints in the delivery of robust deployed motion behavior.
• Shape the future direction and growth of the team to address emerging challenges at the intersection of control, AI, and real-world vehicle behavior.

About you  

In order to set you up for success as a TLM, Motion Controls at Wayve, we’re looking for the following skills and experience.  

Essential 

• Experience managing or leading engineers including setting priorities, driving execution, and supporting their growth and performance.
• Experience leading technical direction for complex autonomy, robotics, or other physical AI systems, ideally in autonomous vehicles or a closely related domain.
• Experience building, shipping, and maintaining production systems, including translating product and system requirements into technical plans and execution.
• Expertise in controls, trajectory generation, motion planning, or closely related autonomy problems, including strong understanding of physical system dynamics, closed-loop behavior, and controller design tradeoffs.
• Experience working on production systems that incorporate machine learning models, ideally in domains such as prediction, trajectory generation, planning, or control.
• Experience working across system boundaries, with the ability to consider factors across software, platform, and physical boundaries.
• Strong software engineering fundamentals, with experience delivering high-quality production code and setting a high technical bar for others.

Desirable 

• Experience managing engineers and growing teams.
• Experience with classical search- or optimization-based motion planning, optimal control, MPC, or related motion-generation methods.
• Experience working in production release environments, ideally involving real hardware or multiple platforms
• Experience with automotive-grade software development processes or safety-related standards such as ISO26262 or SOTIF.
• Experience with Python and C++ in production autonomy or robotics systems.

This is a full-time role based in our office in Sunnyvale or London.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.  

The role 

In this role, you will lead Wayve’s Controls team, an experienced and growing group responsible for delivering robust real-world vehicle motion across our product platforms. You will guide a team working across controls, trajectory generation, and the interface with the Wayve AI Driver. The role combines technical leadership, team development, and delivery ownership, with the opportunity to shape both near-term product impact and the longer-term evolution of our technology.  This is a high-impact opportunity to lead a critical team at the intersection of control, AI, and real-world vehicle behavior.

Key responsibilities:

• Lead and develop the Motion Controls team, providing strong people leadership, technical direction, and clear priorities for an experienced and growing group of engineers.
• Own the team’s technical roadmap and delivery across short and long term horizons, translating product and system needs into clear priorities, technical plans, and timely execution.
• Own the interface between the Wayve AI Driver, trajectory generation, and control in a deployed autonomy system.
• Provide strong technical judgment across control, trajectory generation, and adjacent ML-informed system design, holding a high bar for engineering quality, technical rigor, deployed system performance, and motion quality.
• Work with key partners to align technical plans, product needs, and integration constraints in the delivery of robust deployed motion behavior.
• Shape the future direction and growth of the team to address emerging challenges at the intersection of control, AI, and real-world vehicle behavior.

About you  

In order to set you up for success as a TLM, Motion Controls at Wayve, we’re looking for the following skills and experience.  

Essential 

• Experience managing or leading engineers including setting priorities, driving execution, and supporting their growth and performance.
• Experience leading technical direction for complex autonomy, robotics, or other physical AI systems, ideally in autonomous vehicles or a closely related domain.
• Experience building, shipping, and maintaining production systems, including translating product and system requirements into technical plans and execution.
• Expertise in controls, trajectory generation, motion planning, or closely related autonomy problems, including strong understanding of physical system dynamics, closed-loop behavior, and controller design tradeoffs.
• Experience working on production systems that incorporate machine learning models, ideally in domains such as prediction, trajectory generation, planning, or control.
• Experience working across system boundaries, with the ability to consider factors across software, platform, and physical boundaries.
• Strong software engineering fundamentals, with experience delivering high-quality production code and setting a high technical bar for others.

Desirable 

• Experience managing engineers and growing teams.
• Experience with classical search- or optimization-based motion planning, optimal control, MPC, or related motion-generation methods.
• Experience working in production release environments, ideally involving real hardware or multiple platforms
• Experience with automotive-grade software development processes or safety-related standards such as ISO26262 or SOTIF.
• Experience with Python and C++ in production autonomy or robotics systems.

This is a full-time role based in our office in Sunnyvale or London.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.  

The role 

We are building a new team from the ground up, focused on developing the first generation of verification and validation infrastructure (hardware and software), including automated Hardware-in-the-Loop (HIL) with emulation of sensors, and vehicle systems.

As a HIL Platform Scalability Engineer, you’ll ensure that our HIL systems scale reliably across different benches, programs and geographic locations. You’ll lead the development of monitoring, alerting, and access control and automation infrastructure that enables system uptime, test execution efficiency, and reliable operation of a global HIL fleet.

We are looking for engineers who thrive at the intersection of test systems, infrastructure, automation and operation. In this role, you’ll be critical to scaling and maintaining a fleet of HIL systems that support system level integration and validation at different locations, while enabling engineer teams to move faster and with confidence.

Key responsibilities:

• Design and implement observability systems to monitor health, uptime, and utilization of HIL benches across multiple sites
• Build tools and workflows to reduce bench downtime, increase availability and minimize operational overhead
• Manage HIL systems including all the underlying infrastructure, ensure it’s reliable, scalable and secure
• Develop automation for bench configuration, track changes, and maintain configuration/version control
• Ensure seamless integration of HIL systems into test automation, CI pipelines, and scheduling framework
• Work with other HIL engineers to triage and troubleshoot hardware/software issues affecting HIL stability
• Define HIL operational level agreement, and drive continuous improvements to scale bench operations efficiently
• Implement access control systems and remote control/interaction infrastructure in collaboration with IT and security teams
• Collaborate with the wider HIL team to innovate HIL test system as a service

About you  

You’re passionate about building robust, scalable test infrastructure that enables efficient system integration and validation at scale. You bring a strong mix of test system knowledge, infrastructure engineering and operational experience - with a strong focus on enabling engineering teams to deliver confidently at scale. This is an exciting opportunity to be part of a cutting-edge team that directly impacts the future of autonomous driving technologies, with an end-2-end AI model core.

Essential Skills:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineer, Systems Engineering or a related field 
• 2+ years of experience working with test infrastructure, e.g., HIL, or hardware/software test environments
• Proficiency with observability/monitoring tools, e.g., Datadog, Grafana, Prometheus, etc
• Strong scripting and automation experience using Python, Bash, or similar scripting languages
• Proficiency with Linux or Unix based operating systems, command line tool
• Familiarity with CI/CD pipelines, test scheduling systems, and orchestration tools
• Excellent problem solving skills and operational thinking
• Strong written and verbal communication skills

Desirable Skills:

• Experience in platform operations, site reliability engineering(SRE), or scaling test infrastructure
• Hands-on experience with configuration management tools, such as Ansible, Chef, Terraform
• Familiarity with containerization orchestration engines(e.g., Kubernetes) and proven understanding of continuous development techniques and pipelines (CI/CD, Git)
• Experience working with autonomous systems including robotics and/or autonomous vehicles
• Familiarity with automotive software development requirements and standards, such as ASPICE ,ISO 26262 and ISO 21448 (SOTIF) , with automotive HIL SW and HW products e.g. from Vector and dSPACE and with automotive SW architecture such as AUTOSAR

This is a full-time role based in our office in Sunnyvale.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.  

This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to $298,200, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

As a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.

This means you might:

• Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success
• Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance
• Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements

What we are looking for in our candidate

Essential

• 3+ years experience working in a Data Science role.
• Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.
• Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics
• Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats
• Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)
• Well-versed in summarising, visualising and communicating findings in an accessible and compelling way
• Track record of influencing team direction through your findings  
• A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.
• Comfortable working asynchronously across time zones with cross-functional partners
• You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.

Desired

• Practical experience with machine learning (e.g. pytorch). Passion to take research ideas to production.
• Track record of promoting statistical rigour and experimental best practices in your prior roles.
• Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.
• Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)
• Experience working in a fast-moving tech company or startup.

The role 

As an Embedded Software Test Engineer / Tech Lead 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. This is a high-impact role where your work directly improves software quality and enables faster iteration across multiple teams. You’ll help scale testing by building automated tests and empowering developers to validate their work earlier in the development cycle.

Key responsibilities:

• 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

About you  

In order to set you up for success as an Embedded Software Test Engineer at Wayve, we’re looking for the following skills and experience.  

Essential 

• Experience testing embedded software systems, ideally on Linux or QNX-based platforms
• Strong programming skills in Python, C++, or similar languages for test development and automation
• Experience working with embedded hardware platforms and understanding hardware/software interactions
• Proven ability to debug and triage complex issues across system layers
• Understanding of software testing principles, including automation, integration testing, and system validation

Desirable 

• Experience with hardware-in-the-loop (HiL) testing environments
• Familiarity with sensor systems or data pipelines (e.g., camera, radar, or similar)
• Experience working with CI/CD systems (e.g., Buildkite) and test pipeline integration
• Exposure to robotics, autonomous systems, or real-time software environments

This is a full-time role based in our office in Sunnyvale, California.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   

As a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.

This means you might:

• Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success
• Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance
• Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements

What we are looking for in our candidate

Essential

• 3+ years experience working in a Data Science role.
• Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.
• Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics
• Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats
• Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)
• Well-versed in summarising, visualising and communicating findings in an accessible and compelling way
• Track record of influencing team direction through your findings  
• A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.
• Comfortable working asynchronously across time zones with cross-functional partners
• You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.

Desired

• Practical experience with machine learning (e.g. pytorch). Passion to take research ideas to production.
• Track record of promoting statistical rigour and experimental best practices in your prior roles.
• Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.
• Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)
• Experience working in a fast-moving tech company or startup.

About the Science Team

The Wayve Labs team is a global group of leading scientists and engineers advancing the frontiers of autonomous driving through Embodied AI. We do this by unlocking breakthrough capabilities through cutting-edge research, enabling rapid integration of new technologies into production and disrupting ourselves, before someone else does.

The Role

We’re looking for Applied Scientists to join Wayve’s Science team and help build the next generation of AI systems for autonomous driving. You’ll work at the intersection of machine learning, simulation, robotics, and real-world deployment, contributing to core innovations that push the boundaries of what embodied AI can do.

Key Responsibilities

• Design and train large-scale embodied foundation models, advancing architectures in attention, mixture-of-experts, and distributed training.
  
  
• Develop world models and planners (e.g., diffusion, transformer-based, or hybrid generative approaches) to simulate diverse and temporally consistent driving environments.
  
  
• Innovate in reinforcement learning and reward modeling, building safe, efficient, and scalable reward frameworks integrated with real-world and synthetic data.
  
  
• Conduct empirical research on scaling laws, generalisation, and synthetic-to-real transfer for autonomous systems.
  
  
• Define benchmarks and metrics for long-horizon prediction, scene fidelity, planner integration, and driving performance.
  
  

What You’ll Bring

Must-haves:

• PhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or related fields
  
  
• Applicants should have a minimum of 4 years’ experience in applied ML research or engineering. We are hiring for this level and above, so candidates with deeper expertise are encouraged to apply.
  
  
• Deep expertise in one or more of the following:
  
  
• Foundation model development (e.g., Transformers, MoE, large-scale training)
• Generative world modeling (e.g., autoregressive, diffusion, hybrid models)
• Reinforcement learning, including offline RL, RLHF, reward modeling
• Spatial AI, including transformer-based techniques for SFM/SLAM, depth estimation and multi-view geometry, making use of multimodal (RGB, LIDAR, RADAR, IMU) sensors.
• Other related areas of Machine Learning.
  
  
• Strong programming skills in Python and experience with PyTorch or equivalent ML frameworks
  
  
• Track record of publishing at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)
  
  
• Strong problem-solving ability, collaboration mindset, and ability to thrive in a fast-paced, interdisciplinary team
  
  

Nice-to-haves:

• Experience in autonomous driving, robotics, or simulation
  
  
• Familiarity with training at scale (e.g., FSDP, DeepSpeed, JAX)
  
  
• Knowledge of synthetic-to-real transfer or data-efficient learning
  
  
• Contributions to open-source ML tools or research infrastructure
  
  

Why Join Us

• Shape the future of embodied AI and next-generation autonomy
  
  
• Collaborate with world-class researchers, engineers, and builders
  
  
• Access massive real-world driving datasets, powerful compute, and production deployment pathways
  
  
• High-trust, high-autonomy culture that rewards bold ideas and deep thinking
  
  
• Publish, open-source, and contribute to the global AI research community

What we offer you 

• Attractive compensation with salary and equity 
• Immersion in a team of world-class researchers, engineers and entrepreneurs 
• A unique position to shape the future of autonomy and tackle the biggest challenge of our time 
• Bespoke learning and development opportunities 
• Relocation support with visa sponsorship 
• Flexible working hours - we trust you to do your job well, at times that suit you and your time 
• Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!

This is a full-time role based in our office in Sunnyvale.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   

 The Role 

As a Principal ML Engineer within the Application Engineering team, you’ll lead 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.

You’ll design and deliver ML-driven behaviours that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You’ll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production.

Key Responsibilities:

• Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization.
• Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment.
• Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness.
• Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.
• Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems.
• Collaborate cross-functionally across various teams to ensure integration and iteration velocity.
• Mentor senior engineers and shape the long-term technical direction across Autonomy.

About you 

In order to set you up for success as a Principal ML Engineer at Wayve, we’re looking for the following skills and experience.  

Essential 

• 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.

Desirable 

• Prior work in autonomous driving, imitation learning, or trajectory prediction.
• Familiarity with personalization, human behavior modeling, or driver intent inference.
• Experience integrating ML systems into production hardware or multi-agent simulation.

This role is a full-time role based in Sunnyvale, CA and the reasonably estimated salary for this role ranges from $370,300 to $466,100 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  

#LI-KM1

The Role 

As an ML Engineer within the Application Engineering team, you’ll lead critical initiatives that push the frontier of model-based autonomous driving—both in terms of core driving performance and feature-level intelligence such as personalisation, comfort, and collaboration.

You’ll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You’ll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production.

Responsibilities:

• • Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization.
  • Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment.
  • Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness.
  • Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.
  • Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems.
  • Collaborate cross-functionally across various teams to ensure integration and iteration velocity.
  • Mentor senior engineers and shape the long-term technical direction across Autonomy.

About you: 

In order to set you up for success as a Machine Learning Engineer at Wayve, we’re looking for the following skills and experience.  

Essential

• 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.

Desirable

• Prior work in autonomous driving, imitation learning, or trajectory prediction.
• Familiarity with personalization, human behavior modeling, or driver intent inference.
• Experience integrating ML systems into production hardware or multi-agent simulation.

This role is a full-time role based in Sunnyvale, CA and the reasonably estimated salary for this role ranges from $283,500 to $354,000 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  

#LI-KM1

The Role 

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

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.

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 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.

About you 

In order to set you up for success as an Application Software Engineer at Wayve, we’re looking for the following skills and experience.  

Essential 

• 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.

Desirable 

• Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
• Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
• Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
• Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

This role is a full-time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to $298,200 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  

The Role 

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

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.

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 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.

About you 

In order to set you up for success as an Application Software Engineer at Wayve, we’re looking for the following skills and experience.  

Essential 

• 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.

Desirable 

• Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
• Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
• Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
• Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

This role is a full-time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to $298,200 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  

The Role 

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.

Key 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

About you 

In order to set you up for success as a Customer Integration Engineer at Wayve, we’re looking for the following skills and experience.  

• 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
  
  

This role is a full-time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $137,300 to $187,000 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  

#LI-KM1

The Role 

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.

Key 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

About you 

In order to set you up for success as a Customer Integration Engineer at Wayve, we’re looking for the following skills and experience.  

• 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
  
  

This role is a full-time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $137,300 to $187,000 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  

#LI-KM1

The role 

As a Tech Lead, Machine Learning Engineer within Wayve’s AV Product Engineering team, you will lead the navigation workstream for our end-to-end autonomous driving system - spanning L2+, L3, and robotaxi products. This is a rare opportunity to own your work from model training all the way through to deployment in production vehicles, with full visibility into the entire pipeline. Joining a small, high-impact team, you will set the technical direction for navigation ML and have meaningful scope for growth as the team expands.

Key Responsibilities

• Lead the navigation workstream, including route planning, rerouting, and driving across L2+, L3, and robotaxi products.
• Train and deploy end-to-end models for navigation and driving features, owning the full lifecycle from model training through to vehicle integration and production deployment.
• Define the roadmap and technical vision for navigation ML within the AV Features team, helping shape the direction of L2+ driving features.
• Collaborate closely with the Evaluation, Robot Software, and Data Platform teams to iterate rapidly and improve model performance.
• Leverage closed-loop and open-loop evaluation frameworks to measure driving quality and validate production readiness.
• Mentor and support junior engineers on the team and shape the long-term technical direction
  

About you  

In order to set you up for success as a Tech Lead ML Engineer at Wayve, we’re looking for the following skills and experience

Essential 

• 7+ years of ML engineering experience with a strong track record of shipping deep learning systems to production.
• 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.
• Hands-on experience with transformer-based and multimodal architectures, including vision-language models (VLM), vision-language-action models (VLA), or equivalent.
• Demonstrated ability to train and deploy end-to-end ML models for production systems.
• Strong understanding of end-to-end learning approaches for driving, embodied AI, or related domains.
• Ability to take full ownership of a technical workstream - driving it from research and experimentation through to production deployment.

Desirable 

• Prior work in autonomous driving, imitation learning, or trajectory prediction. Or background in the AV industry, ideally from a perception, planning, controls, or evaluation team.
• Experience with closed-loop simulation and open-loop evaluation for autonomous driving or robotics systems.
• Familiarity with navigation problems, route planning, or multi-modal sensor fusion.
• Research publications in relevant areas (machine learning, robotics, computer vision) - less critical than strong applied production experience

This is a full-time role based in our office in Sunnyvale.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. 

The role 

Wayve is hiring a Head of US Public Policy to own our US public policy program. This person will be the senior Wayve policy representative for state and federal engagement, with an initial focus on California. This new leader will  also support the design and execution of an adaptable multi-state engagement that supports Wayve’s evolving commercial strategy. You will define and deliver regulatory wins that enable testing, pilots and commercialization, while partnering closely with Commercial, Product, Engineering, Safety and Legal to support Wayve’s GTM in the US.

Key responsibilities

• Develop and own Wayve’s US public policy strategy, developing a multi-state playbook, ensuring seamless alignment with global policy objectives and commercial goals.
• Build and lead the US public policy function.
• Lead Wayve’s engagement with federal agencies (e.g., USDOT, NHTSA where relevant), Congressional offices, federal rulemaking and agency consultations, and national standards bodies.
• Advocate for regulatory approaches, guidance and funding that enable safe AV testing and deployment at scale.
• Own engagement with California state agencies (e.g., DMV, CPUC and relevant state agencies), governors’ offices, state legislators and city/municipal agencies.
• Establish ROI and build coalitions with industry partners, trade associations, think tanks, academic institutions and civil society to accelerate constructive, risk-based policy outcomes.
• Draft and deliver regulatory submissions, technical briefings, testimony, consultation responses and policy whitepapers tailored for U.S. federal and state audiences with support from our agency.
• Develop US-facing policy communications and thought leadership to raise Wayve’s profile and shape public debate.
• Prepare and coach senior spokespeople for Congressional hearings, agency briefings and public testimony as needed.

Essential skills 

• Location & language: Flexible in US but CA preferred. Fluent English; excellent written and oral communications.
• 8+ years of professional experience in public policy, government affairs, regulatory affairs, or external affairs — with senior/leadership experience and a record of delivering U.S. federal and state policy outcomes.
• Deep knowledge of the US federal regulatory landscape for AV, transportation and emerging mobility, and of California’s regulatory and political environment (DMV, CARB, CPUC, state legislature).
• Demonstrated success influencing national and state policy outcomes through direct engagement with federal agencies, Congressional staff, state agencies, governors’ offices and local governments.
• Strong technical literacy in autonomous vehicles, AI, data and safety — comfortable working with engineering teams and translating technical issues for non-technical audiences.
• Track record designing and running multi-state engagement programs that can be scaled up/down and reallocated quickly as commercial strategy changes

Desirable 

• Experience working with international automotive regulatory fora e.g. UNECE
• Knowledge of Type Approval and/or other international automotive regulation

This is a full-time role based in-office.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. 

The US base salary range for this full-time position is $238,800- $329,300 + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.

#LI-MB1

The role 

We’re looking for a Process Excellence Manager to join Wayve’s Systems & Insights team, helping design and scale the operational systems that power our global Fleet Operations. This role is ideal for a Lean Six Sigma Black Belt (or equivalent) who thrives in dynamic, high-growth environments and has a proven track record of driving measurable improvement in operational performance.

You’ll lead critical process improvement initiatives across our global test network—spanning the UK and international sites—working cross-functionally to reduce waste, improve process stability, and enable repeatable, high-quality delivery at scale. This role is key to our transformation from an R&D-focused operation to a world-class, delivery-grade AV test organisation.

Key Responsibilities

• Process Mapping & Design
  Lead end-to-end analysis and documentation of core Fleet Ops workflows. Define AS-IS processes, identify gaps, and establish TO-BE standards using BPMN or equivalent notation.
  
  
• Lean Six Sigma Project Leadership
  Drive structured improvement projects using Lean, Six Sigma, or equivalent methodologies (DMAIC, Kaizen, etc.) to improve efficiency, quality, and throughput.
  
  
• Cross-Functional Collaboration
  Work with regional teams and functional stakeholders to standardise operations, eliminate non-value-adding activities, and improve reliability of critical processes.
  
  
• Operational Frameworks
  Define and implement SLAs, SOPs, escalation procedures, and RACI/decision matrices across key workflows.
  
  
• Visual Management & Tracking
  Introduce KPIs, dashboards, and other visual tools to track process performance and drive accountability across the organisation. Use data analytics and SQL to monitor process performance, identify bottlenecks, and quantify improvements.
  
  
• Automation Readiness
  Partner with software, data, and infrastructure teams to scope and support automation of repetitive or high-volume tasks.
  
  
• Operational Scaling Advisory
  Serve as a strategic partner to Ops leadership, applying structured problem-solving to key growth and scalability challenges.
  
  
• Change Enablement & Coaching
  Champion continuous improvement across Fleet Ops. Coach teams on best practices in process design and operational excellence.
  
  

About You

You combine a systems-thinking mindset with hands-on operational experience. You are rigorous, pragmatic, and action-oriented. You’re passionate about making complex systems work better—and have the skills to drive real change.

Essential Requirements

• 5+ years’ experience in process improvement, operations design, or operational excellence roles in high-complexity environments (e.g., tech, logistics, robotics, manufacturing, or mobility).
• Certified or equivalent experience running high-impact continuous improvement initiatives.
• Deep experience with workflow mapping, process documentation (BPMN), and standardisation.
• Strong facilitation skills: able to lead workshops and interviews with technical and frontline stakeholders.
• Skilled in SQL and data analysis; able to pull data and build or interpret dashboards and trackers.
• Familiar with incident management, readiness reviews, and risk/control frameworks.
• Proven ability to influence across teams and functions, including remote/global stakeholders.
• Strong written, verbal, and visual communication skills (e.g. documentation, SOPs, presentations).
• Comfortable with tools such as Confluence, Asana/Jira, Lucidchart, or equivalent. 
• Experience implementing task management tools and working with internal tools on operational product development. 
• Ability to travel internationally up to 40% of the time, to support process design and change adaptation across all operational sites. 

Desirable Qualifications

• Experience in autonomous systems, robotics or field operations.
• Exposure to process mining tools (e.g. Celonis, UiPath Process Mining).
• Experience supporting scaling in global, distributed teams.
• Team management or mentoring experience.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

This is a full-time role based in our Sunnyvale office (Hybrid).  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   We operate core working hours so you can determine the schedule that works best for you and your team. 

The role 

As an Operational Safety Manager – US, you will play a critical role in ensuring the safe execution and oversight of Wayve’s on-road testing and robotaxi operations. You will be responsible for monitoring safety performance, investigating incidents, and maintaining operational safety standards across a rapidly scaling environment.

This role places a strong emphasis on Safety Assurance — ensuring that risks are visible, continuously understood, and acted upon in real time. You will operate as an independent safety function, providing oversight of field operations, identifying emerging risks, and ensuring that safety processes are consistently applied.  The operational safety team acts as a continuous check and balance on the rest of the organization, ensuring that Wayve’s plans and objectives are met in the safest manner possible.

You will work closely with engineering, fleet operations, and global safety teams to ensure Wayve’s deployments are safe, compliant, and defensible within US regulatory frameworks (e.g. DMV, NHTSA), while contributing to a strong, proactive safety culture.

Key responsibilities:

• Safety Assurance & Monitoring
• Monitor daily safety performance across, Fleet operations, R&D testing and other deployment activities
• Track and analyse safety performance indicators, trends, interventions, anomalies and other vital metrics to analyze the validity of our safety case and implement suitable operational controls or risk mitigation strategies accordingly
• Incident response and investigation
• Lead and support investigations into on-road incidents and near-misses, preparing incident reports, conducting structured root cause analysis activities and preparing summaries for engineering and executive management stakeholders alike
• Prepare suitable analysis for all investigations to ensure findings and corrective actions are clearly documented, actionable, and fed back into engineering, operations, and risk management work plans
• Support regulatory and partner reporting requirements where applicable
• Safety Risk Management
• Carry out hazard identification and risk assessment activities to support on-road operations and testing activities
• Maintain and update operational risk registers
• Support implementation of risk controls and monitor their effectiveness
• Cross-Team Collaboration: Work closely with engineers, operators, and global safety teams to align on best practices.
• Safety Culture & Training
• Develop and deliver training programs, prepare and update risk assessments, and drive a strong safety-first mindset across operations.
• Champion and advocate for safety outcomes across all activities

About you  

In order to set you up for success as an Operational Safety Manager at Wayve, we’re looking for the following skills and experience.  

Essential 

• 5+ years experience investigating incidents in a fast-paced, safety-critical environment
• Experience in operational safety, risk monitoring, or safety assurance roles in a fleet, logistics, field engineering or operational environment
• Strong analytical mindset — able to interpret data, identify patterns, derive insights and present to a range of audiences from engineering to management
• Demonstrable ability to operate independently and make sound safety judgments
• Good understanding of industry-relevant standards and guidelines (e.g. AV, automotive, or similar)
• Experience with human factors, including workload, attention, and driver/operator interaction risks
• Ability to develop and implement safety processes and procedures

Desirable 

• Experience with autonomous vehicle or ADAS testing and development
• Experience of automotive, aviation, defence or manufacturing safety management systems
• Understanding of US autonomous vehicle regulations (e.g. CA DMV, NHTSA) and reporting requirements
• Familiarity with automotive systems, electronics, and safety implications
• Experience supporting robotaxi or ride-hail operations

This is a full-time role based in our office Sunnyvale, CA.  

The role

We are looking for a Staff ML Performance Engineer to join our Training Tech team working on optimizing large scale ML jobs to enable scaling our models to the next order of magnitude. A successful candidate will increase efficiency of training and inference workloads in order to allow Wayve to train larger models faster.

Key responsibilities:

• Profile ML workloads to identify their bottlenecks, e.g. using NVIDIA Nsight Systems
• Design and implement efficiency improvements to maximize MFU and throughput, e.g. parallelism, model compilation, mixed precision
• Design and implement observability tools to identify bottlenecks and drive performance improvements, e.g. to track MFU, throughput, latency, etc
• Design and implement benchmarking tools, e.g. to track efficiency gains or regressions
• Collaborate closely with Research teams to integrate training efficiency improvements and create a culture of performance optimization

About you

In order to set you up for success in this role, we’re looking for the following skills and experience.

Essential

• 10+ years of industry experience driving performance engineering across ML systems, GPU compute infrastructure, distributed platforms or similar field.
• Experience optimizing large scale jobs on GPU compute clusters.
• Experience in working in platform teams and working with research teams.
• Experience in writing, reporting, and tracking performance benchmarks in an open and accessible way.
• Ability to write high quality, well-structured and tested Python code
• BS or MS in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience

Desirable

• Experience working with concurrent, parallel and distributed computing.
• Experience using NVIDIA NSight Systems or other system profilers.
• Experience implementing GPU kernels (CUDA, Triton, etc).
• Knowledge of computing fundamentals - what makes code fast, secure and reliable.

#LI-HH1

The role 

The Robot Software team is responsible for the software that runs on our internal fleet of vehicles to enable autonomous driving and collect data for training new driving models. You will join a motivated and talented team of engineers to deliver a reliable, stable and flexible software stack to support on-road experimentation by our model developers and scientists. Your work will enable these teams to iterate quickly and gather the data they need to improve our autonomous driving capabilities and support new product features, which is critical to the success of Wayve’s mission.

The System Performance team equips all Wayve teams with the observability, profiling tools, and infrastructure needed to understand and optimise software performance across our development fleet. We work closely with teams to investigate issues, reduce bottlenecks, and promote best practices. Our work enhances core onboard components to ensure efficient use of compute and a solid foundation for running model experiments at scale. We also provide the tooling and infrastructure needed to quickly detect, diagnose, and address performance regressions, helping teams move faster with greater confidence.

Key responsibilities:

• Investigate latency and performance bottlenecks across the entire software stack
• Instrument code with profiling tools and metrics to collect performance data and identify optimization opportunities
• Integrate and evaluate new profiling and instrumentation tools to benchmark system performance and establish baselines
• Collaborate with multiple teams to understand their performance pain points and prioritize optimization efforts based on impact
• Optimize critical code paths and algorithms to improve runtime efficiency, reduce latency, and enhance overall system performance

About you  

In order to set you up for success as a Software Engineer at Wayve, we’re looking for the following skills and experience.  

Essential 

• Software Development Skills: Proficiency developing high-performance embedded Linux systems software in C++.  Demonstrated ability to manage the complete software development lifecycle from ideation through delivery & optimization
• Proficiency with performance profiling tools and techniques for identifying and resolving system bottlenecks
• Proven track record of methodical experiment evaluation
• Strong technical background on OS scheduling, computer architecture (memory hierarchy, CPU caches, context switches, …), and thread synchronisation

Desirable 

• Familiarity with Nvidia performance tools such as NV NSight, NV Lumos and tegrastat
• Familiarity with observability tools such as Grafana (logs, metrics, traces), Databricks, Datadog
• Familiarity with QNX and Momentics is a plus

This is a full-time role based in our office in Sunnyvale, California.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   

Role Overview

Cloud Infrastructure Engineer, you will help build, operate, and improve the cloud platforms and infrastructure that support Wayvei’s software development and release systems.

Working as part of a team, you’ll focus on maintaining reliable, scalable, and secure cloud environments, while improving the systems that enable efficient software development, testing, and deployment. This is a hands-on role with opportunities to deepen your expertise in cloud infrastructure, automation, and platform engineering.

Key Responsibilities

• Build, maintain, and improve cloud infrastructure (primarily Azure) to support development, testing, and production environments.
• Contribute to Infrastructure-as-Code (IaC) implementations (e.g. Terraform, Ansible) to ensure consistent and repeatable infrastructure provisioning.
• Support and improve CI/CD pipelines and deployment systems running in cloud environments.
• Monitor, troubleshoot, and optimise cloud systems for performance, reliability, and cost efficiency.
• Assist in managing containerised workloads and orchestration platforms (e.g. Docker, Kubernetes).
• Implement and maintain observability tools (logging, metrics, alerting) to ensure system health and rapid incident response.
• Work with engineering teams to ensure infrastructure meets application requirements and supports scalable software delivery.
• Help improve security, access control, and compliance within cloud environments.
• Participate in incident response and root cause analysis for infrastructure and deployment issues.
• Continuously improve automation, reducing manual operations across infrastructure and deployment workflows.

About You

Essential:

• 2–5 years of experience in DevOps, cloud infrastructure, or related engineering roles.
• Hands-on experience with at least one cloud platform (Azure, AWS, or GCP).
• Experience with Infrastructure-as-Code tools (e.g. Terraform, Ansible).
• Familiarity with CI/CD systems and cloud-based deployment pipelines.
• Basic understanding of networking, cloud architecture, and system reliability.
• Strong troubleshooting and problem-solving skills.

Desirable:

• Experience with containerisation and orchestration (Docker, Kubernetes).
• Familiarity with monitoring and observability tools (e.g. Prometheus, Grafana, ELK).
• Experience working with Linux systems and shell scripting.
• Programming or scripting experience (e.g. Python, Bash, Go, or similar).
• Understanding of security best practices in cloud environments.
• Exposure to large-scale or distributed systems

The Role

We are seeking an experienced Hardware Engineer to join our Hardware team and play a key role in developing next-generation autonomous driving compute platforms. This role focuses on low-level electronics design, embedded systems, and high-performance compute integration translating autonomy requirements into robust, scalable hardware systems.

You will work hands-on with cutting-edge computing platforms, collaborating across hardware, software, and systems teams to design, bring up, and validate mission-critical electronics that enable embodied AI.

Key Responsibilities

• Design and develop embedded electronics systems for autonomous driving applications
• Architect and implement compute platforms for ML workloads
• Collaborate with software and autonomy teams to optimize hardware for performance, reliability, and scalability
• Own board-level design, bring-up, validation, and debugging across hardware and software boundaries
• Develop high-speed interfaces such as PCIe, Ethernet, USB, and related technologies in an automotive environment
• Work with mechanical engineering teams to design robust electronics hardware
• Lead schematic design, PCB layout reviews, and signal integrity considerations
• Create design and product specification documentation for electronics hardware
• Work with suppliers and manufacturing partners to ensure design robustness and production readiness

About You

Essential:

• 7+ years of experience in electronics or embedded systems design
• Strong experience with board-level design, bring-up, and debugging
• Deep understanding of embedded systems and compute architectures
• Experience with high-speed digital interfaces (e.g., PCIe, Ethernet, USB)
• Strong debugging skills across hardware and software systems
• Familiarity with Linux-based systems and embedded environments
• Proficiency in at least one programming language (e.g., C, C++, Python)
• Ability to architecture and analyze complex systems
• Strong communication skills and ability to collaborate across multidisciplinary teams
• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field

Desirable Experience

• Experience designing hardware for AI/ML workloads or high-performance computing systems
• Experience with signal integrity, power integrity, and high-speed PCB design
• Knowledge of networking systems and protocols (Ethernet, TCP/IP, etc.)
• Experience with firmware or low-level software development (bootloaders, drivers, BSPs)
• Familiarity with NVIDIA and Qualcomm SoC applications
• Experience working with contract manufacturers and scaling hardware to production
• Autonomous vehicle, robotics, or other safety-critical system experience

The role 

The Robot Software team is responsible for the software that runs on our internal fleet of vehicles to enable autonomous driving and collect data for training new driving models. You will join a motivated and talented team of engineers to deliver a reliable, stable and flexible software stack to support on-road experimentation by our model developers and scientists. Your work will enable these teams to iterate quickly and gather the data they need to improve our autonomous driving capabilities and support new product features, which is critical to the success of Wayve’s mission.

The OS & Kernel team within Robot Software are the curators of Wayve's bespoke Linux distribution, which is installed across our ever-expanding development fleet. The team works closely with various groups across Wayve, including other parts of Robot Software, the hardware and supply chain teams, and our field engineering and reliability engineering teams. The team's responsibilities include developing and maintaining our Linux distribution using Yocto, creating and updating Linux kernel drivers for new hardware sensors and peripherals, and hardening our development fleet against all forms of cyber attack.

Key responsibilities:

• Expertise in Linux: Own the creation and maintenance of Linux kernel and device drivers.
• Collaborate with technical and business stakeholders: Work with Product, Project, and Engineering management to advise and build the right solution
• Software Development: Build and deliver software in C++ with high quality and reliability. Create software which is observable and debuggable when running on a device 2000 km away and with limited connectivity.
• Fault Tolerance and Diagnostics: Create robust, fault-tolerant software solutions with comprehensive system diagnostics to enable us to quickly and efficiently resolve any issues preventing our deployed fleet from operating at maximum capacity.
• Drive a strong engineering culture: Lead by example as you demonstrate best practices for: testing, documentation, ease-of-use, technical (and non-technical) tooling, mentorship, and collaboration.

About you  

In order to set you up for success as a Software Engineer at Wayve, we’re looking for the following skills and experience.  

Essential 

• Software Development Skills: Proficiency developing high-performance embedded Linux systems software in C and C++. Demonstrated ability to manage the complete software development lifecycle from ideation through delivery & optimization.
• Linux Expertise: Familiarity with embedded Linux (kernel, device tree), build systems (Yocto), boot sequence, secured boot and user space application software development.
• Debugging Skills: Ability to delve deep into performance issues, stack traces, core dumps, slow disk writes, high system load, memory bottlenecks, external device bottlenecks, and threading issues.
• IPC Middleware Knowledge: Strong understanding IPC mechanisms and how to optimally use and configure IPC middleware for high data throughput robotics applications (e.g. with frameworks such as ROS).

Desirable 

• Experience with robotics or automotive frameworks such as Nvidia Jetson or Nvidia Drive.
• Experience with embedded real time (RT) OS such as QNX. 

This is a full-time role based in our office in Sunnyvale, California.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   

The role 

In this role, you will have the opportunity to work with Wayve’s next-generation innovative compute and sensor platform, as well as contribute to all phases of the software development lifecycle. 

As a member of the Robot Software team, you will collaborate with your team to deliver software for edge devices to provide data and enable autonomy on a large fleet of vehicles. A key responsibility will be to ensure that the software you deliver runs reliably at scale. You will also work closely with our Embodied AI and Science organisations to ensure they have the data and interfaces they need to train models, run experiments and get feedback on driving performance.

Key Responsibilities 

• Software Development: Build and deliver software in C++ with high quality and reliability. Create software which is observable and debuggable when running on a device 2000 km away and with limited connectivity.
• Sensor Integration and Data Capture: Build software to enable full sensor integration and data capture and streaming at the scale and quality necessary for a fully autonomous vehicle.
• Real-Time System Management: Deliver and maintain soft-real-time Linux-based applications to a fleet of embedded devices on automobiles, including data collection and storage, as well as machine learning inference on the edge.
• Fault Tolerance and Diagnostics: Create robust, fault-tolerant software solutions with comprehensive system diagnostics to enable us to quickly and efficiently resolve any issues preventing our deployed fleet from operating at maximum capacity.
• Performance Monitoring: Design, implement, and use system monitoring tools to improve performance and resolve both ad hoc and systemic issues.
• Collaborate with technical and business stakeholders: Work with cross-functional global teams including Hardware, Product, Project, and Engineering management to advise and build the right solution
• Drive a strong engineering culture: Lead by example as you demonstrate best practices for: testing, documentation, ease-of-use, technical (and non-technical) tooling, mentorship, and collaboration.

About you  

In order to set you up for success as a Software Engineer at Wayve, we’re looking for the following skills and experience.  

Essential

• Software Development Skills: Proficiency developing high-performance embedded Linux systems software in C++.  Demonstrated ability to manage the complete software development lifecycle from ideation through delivery & optimization
• Automotive Sensor Expertise: Experience working with automotive sensors and technologies like camera, LiDAR, radar, or localization systems (IMU, GNSS)
• Linux Expertise: Familiarity with embedded Linux, build systems, and/or user space applications.
• IPC Middleware Knowledge: Strong understanding of how to optimally use and configure IPC middleware for high data throughput robotics applications on frameworks such as ROS or other automotive middleware
• Distributed Systems Understanding: Knowledge of how distributed systems operate, either in cloud or robotics systems, and how to make these types of systems more scalable and performant.
• Debugging Skills: Ability to delve deep into performance issues, stack traces, core dumps, slow disk writes, high system load, memory bottlenecks, external device bottlenecks, and threading issues.

Desirable

• Autonomous Systems: Experience with robotics, autonomous systems, or other real-world sensing applications
• Embedded Environments: Experience with developing software for embedded Linux systems, real-time operating systems such as QNX, and/or other automotive SoCs
• Networking: Knowledge of networking fundamentals, including UDP/TCP, ethernet-based communications and debugging network bottlenecks in high-data-rate systems
• Background: 5+ years of experience, with a Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. Advanced degrees are a plus.

This is a full-time role based in our office in Sunnyvale, California.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   

The role 

At Wayve, you will help deliver the value of our breakthrough autonomous driving technology by ensuring our software systems are released reliably, on time, and with the stability needed to support fleet operations and product development. This means balancing fast-paced innovation with clarity, structure, and disciplined release practices.

We’re looking for someone pragmatic, methodical, and system-minded — someone who understands how releases fit into the broader engineering and product ecosystem, and who introduces processes and systems where they are needed to achieve stability, clarity, and business goals.

Key responsibilities:

• Release Planning & Coordination: Own release cycles, maintaining a steady and predictable shipment rhythm while adapting to business priorities.
• Issues & Change Management: Drive decisions on which issues or change requests must be included or deferred, balancing stability and speed.
• Bottleneck Identification & Improvement: Identify constraints in the release process (e.g. quality gaps, branching strategy, tooling) and drive improvements to resolve them. Implement dashboards and KPIs for program visibility, and proactively escalate gaps.
• Process & Systems building: Understand how releases fit into the wider system of engineering, operations, and model development, and build processes and frameworks that support clarity, stability, and business goals.
• Tooling & Automation Influence: Partner with SRE/DevOps to shape CI/CD, testing and release tooling. Defining requirements that improve developer experience and release efficiency.
• Cross-Functional Collaboration: Work closely with engineering, product, and operations teams to ensure successful and stable releases.
• Clarity & Communication: Act as the central point of contact for release status, risks, and timelines, keeping stakeholders informed at the right level of detail.
• Continuous Improvement: Run post-release reviews and drive corrective actions across teams.

About you  

In order to set you up for success as a Release Manager at Wayve, we’re looking for the following skills and experience.

Essential

• 5+ years in release management, software engineering, or a related field.
• Strong understanding of the Software Development Life Cycle (SDLC) and release management practices, including testing strategy, system integration, branching and versioning.
• Knowledge of configuration management including hardware configurations.
• Experience with CI/CD pipelines and automation tools (eg Github, Buildkite, CLI tools).
• Skilled at managing multi-platform releases.
• Strong problem-solving and decision-making ability in release trade-offs.
• Good communication skills, comfortable working with engineers and presenting to leadership.

Desirable 

• Experience in automotive, robotics, or AI industries.
• Experience managing system or bundle releases, including third-party software.
• Experience with Agile and DevOps methodologies.
• BSc or equivalent in Computer Science, Engineering, or a related technical discipline.

This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.  

The role 

At Wayve, you will help deliver the value of our breakthrough autonomous driving technology by ensuring our software systems are released reliably, on time, and with the stability needed to support fleet operations and product development. This means balancing fast-paced innovation with clarity, structure, and disciplined release practices.

We’re looking for someone pragmatic, methodical, and system-minded — someone who understands how releases fit into the broader engineering and product ecosystem, and who introduces processes and systems where they are needed to achieve stability, clarity, and business goals.

Key responsibilities:

• Release Planning & Coordination: Own release cycles, maintaining a steady and predictable shipment rhythm while adapting to business priorities.
• Issues & Change Management: Drive decisions on which issues or change requests must be included or deferred, balancing stability and speed.
• Bottleneck Identification & Improvement: Identify constraints in the release process (e.g. quality gaps, branching strategy, tooling) and drive improvements to resolve them. Implement dashboards and KPIs for program visibility, and proactively escalate gaps.
• Process & Systems building: Understand how releases fit into the wider system of engineering, operations, and model development, and build processes and frameworks that support clarity, stability, and business goals.
• Tooling & Automation Influence: Partner with SRE/DevOps to shape CI/CD, testing and release tooling. Defining requirements that improve developer experience and release efficiency.
• Cross-Functional Collaboration: Work closely with engineering, product, and operations teams to ensure successful and stable releases.
• Clarity & Communication: Act as the central point of contact for release status, risks, and timelines, keeping stakeholders informed at the right level of detail.
• Continuous Improvement: Run post-release reviews and drive corrective actions across teams.

About you  

In order to set you up for success as a Release Manager at Wayve, we’re looking for the following skills and experience.

Essential

• 5+ years in release management, software engineering, or a related field.
• Strong understanding of the Software Development Life Cycle (SDLC) and release management practices, including testing strategy, system integration, branching and versioning.
• Knowledge of configuration management including hardware configurations.
• Experience with CI/CD pipelines and automation tools (eg Github, Buildkite, CLI tools).
• Skilled at managing multi-platform releases.
• Strong problem-solving and decision-making ability in release trade-offs.
• Good communication skills, comfortable working with engineers and presenting to leadership.

Desirable 

• Experience in automotive, robotics, or AI industries.
• Experience managing system or bundle releases, including third-party software.
• Experience with Agile and DevOps methodologies.
• BSc or equivalent in Computer Science, Engineering, or a related technical discipline.

This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.  

The role 

In this role, you will be responsible for driving the definition, development, and delivery of Wayve’s L4 autonomous driving solutions. You will own key product initiatives from concept through deployment, aligning Wayve’s AV2.0-based approach with OEMs, operational partners, and various other stakeholders.

As a Product Manager, you will work cross-functionally with R&D, safety, validation, and commercial teams to shape a scalable, reliable, user-centric AV product strategy. Your role will be essential in translating cutting-edge technical innovation—particularly in embodied AI and end-to-end learning—into market-ready features and capabilities. You will champion our customers and work in the intersection of consumer and deep tech, particularly in human interactions with embodied AI.

Key responsibilities:

• Define and own the product roadmap for Level 4 autonomous driving features, aligning with company strategy, customer needs, and regulatory frameworks.
• Work closely with design, system architects, software developers, validation teams, and safety experts to ensure delivery of safe and delightful customer experiences.
• Take full end-to-end ownership of AV feature development, from concept definition through implementation, validation, and deployment in production.
• Stay current with global AV trends, regulatory developments, and competitors to take the best product decisions.

Support verification & validationAct as the product lead in internal reviews and external engagements.

About you 

In order to set you up for success as a Product manager at Wayve, we’re looking for the following skills and experience.

Essential:

• 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.
• Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field.

Desirable:

• Experience owning end-to-end delivery of AV features, including collaboration with engineering, systems, safety, and validation teams.
• Understanding of human-machine interaction (HMI), UX, or the broader robotaxi product
• Knowledge of generative AI techniques, LLMs, or Software 2.0 methods as applied to autonomous driving or large-scale simulation.
• Analytical, data driven 

This is a full-time role based in our office in Sunnyvale.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.