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

As a Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale).

This is a founding Cloud SRE role. You won’t inherit a mature SRE function, you’ll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale.

This role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant.

Key responsibilities

Reliability & Platform Ownership

• Own the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments.
• Define and operationalise SLOs, SLIs, and error budgets across platform services.
• Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters.
• Partner with ML, platform, and software teams to establish clear production readiness standards.
  
  

Incident Response & On-Call

• Participate in a 24/7 on-call rotation as first-line response for cloud and cluster-related incidents.
• Lead incident triage, escalation, communications, and root cause analysis.
• Translate post-incident learning into durable architectural or automation improvements.
• Continuously reduce alert noise and recurring operational burden.
  
  

Observability & Operational Excellence

• Design and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery.
• Build dashboards that reflect real user-centric platform health (not just infrastructure metrics).
  Improve deployment safety through better change management, validation, and rollback mechanisms.
  
  

Automation & Tooling

• Build automation for cluster operations, training workflows, remediation, and scaling tasks.
• Implement self-healing patterns and resilient recovery workflows.
• Harden CI/CD and release processes to improve deployment safety and velocity.
• Support infrastructure-as-code and policy-driven guardrails to ensure secure, reliable cloud environments.

About you

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

Essential skills

• Proven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems.
• Strong Kubernetes experience, including operating production clusters.
• Hands-on experience running production workloads in AWS, GCP, or Azure.
• Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads.
• Experience working with large compute clusters; exposure to AI/ML training or inference workloads strongly preferred.
• Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g. Python, Go, C++) with a bias toward automation.
• Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale.
• Experience designing and operating observability stacks (e.g. Datadog, Prometheus, Grafana, OpenTelemetry).
• Clear communication skills, including leading incidents, writing postmortems, and influencing teams to prioritise reliability improvements.

Desirable skills

• Experience operating GPU-backed environments or large-scale ML infrastructure.
• Experience running model training or inference pipelines in production (MLOps).
• Familiarity with infrastructure-as-code (e.g. Terraform) and secure cloud production environments.
• Experience defining and running SLOs/SLIs and building reliability programs across multiple teams.
• Experience as an early or founding SRE hire establishing processes from scratch.
• Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time.

This is a full-time role based in our office in London (2 days a week in the 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 role

This is a rare opportunity to be a founding Staff SRE shaping the reliability of large-scale AI systems and GPU compute infrastructure from the ground up.

As a Staff Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale).

This is a founding Cloud SRE role. You won’t inherit a mature SRE function, you’ll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale.

This role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant.

Key responsibilities

Reliability & Platform Ownership

• Own the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments.
• Define and operationalise SLOs, SLIs, and error budgets across platform services.
• Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters.
• Partner with ML, platform, and software teams to establish clear production readiness standards.
  
  

Incident Response & On-Call

• Participate in a 24/7 on-call rotation as first-line response for cloud and cluster-related incidents.
• Lead incident triage, escalation, communications, and root cause analysis.
• Translate post-incident learning into durable architectural or automation improvements.
• Continuously reduce alert noise and recurring operational burden.
  
  

Observability & Operational Excellence

• Design and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery.
• Build dashboards that reflect real user-centric platform health (not just infrastructure metrics).
  Improve deployment safety through better change management, validation, and rollback mechanisms.
  
  

Automation & Tooling

• Build automation for cluster operations, training workflows, remediation, and scaling tasks.
• Implement self-healing patterns and resilient recovery workflows.
• Harden CI/CD and release processes to improve deployment safety and velocity.
• Support infrastructure-as-code and policy-driven guardrails to ensure secure, reliable cloud environments.

About you

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

Essential skills

• Proven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems.
• Experience operating GPU-backed environments or large-scale ML infrastructure.
• Experience running model training or inference pipelines in production (MLOps).
• Strong Kubernetes experience, including operating production clusters.
• Hands-on experience running production workloads in AWS, GCP, or Azure.
• Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads.
• Experience working with large compute clusters; exposure to AI/ML training or inference workloads strongly preferred.
• Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g. Python, Go, C++) with a bias toward automation.
• Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale.
• Experience designing and operating observability stacks (e.g. Datadog, Prometheus, Grafana, OpenTelemetry).
• Clear communication skills, including leading incidents, writing postmortems, and influencing teams to prioritise reliability improvements.

Desirable skills

• Familiarity with infrastructure-as-code (e.g. Terraform) and secure cloud production environments.
• Experience defining and running SLOs/SLIs and building reliability programs across multiple teams.
• Experience as an early or founding SRE hire establishing processes from scratch.
• Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time.

This is a full-time role based in our office in London (2 days a week in the 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.

We are seeking a Warehouse Teammate to support the day-to-day operations of our warehouse and stores function. The Warehouse Teammate will work closely with the Warehouse Manager/Lead, specialists and cross-functional teams (including AVOps, Supply Chain, and IT) to ensure smooth, efficient, and accurate material management processes. This role is critical to maintaining stock integrity, ensuring timely deliveries, and building robust processes to support Wayve’s upcoming growth.

Key Responsibilities

Warehouse Operations

• Manage and control inventory levels, ensuring accuracy and timeliness of all stock bookings, kittings, and cycle counts.
  
  
• Organize and label storage space to maintain clear and efficient warehouse operations.
  
  
• Coordinate inbound and outbound shipping/receiving processes, ensuring smooth collaboration with cross-functional teams.
  
  
• Support the Warehouse Manager in ensuring warehouse operations run efficiently and meet defined expectations.
  
  

Team & Process Integration

• Build effective working relationships with wider teams to support material deliveries and demand.
  
  
• Communicate clearly regarding store availability, demand requests, and component kitting/delivery timelines.
  
  

Material Handling

• Define and implement material handling and storage processes in the UK in coordination with the Warehouse Manager.
• Ensure specialized handling protocols for sensitive electronics (ESD) and automotive sensors.
  
  
• Promote efficient and cost-effective material management structures with contingency planning to prevent build delays.
  
  

Inventory & Stock Management

• Carry out accurate and timely bookings and kittings aligned with inbound deliveries and build plans.
  
  
• Implement and maintain a rolling cycle count to ensure stock integrity and a high level of data accuracy within the ERP .
  
  
• Support inventory forecasting and reporting by monitoring stock values and identifying slow-moving or obsolete inventory.
  
  
• Assist with developing processes to highlight and resolve inventory management issues proactively.
  
  

Continuous Improvement

• Actively participate in process improvement initiatives to enhance warehouse operations.
  
  
• Collaborate with the Warehouse Manager on new projects, adapting responsibilities as required.
  
  
• Contribute to building discipline and best practices across warehouse activities.
  
  

Skills & Qualifications

• Proven experience in warehouse operations, inventory control, or logistics, ideally within a high-tech or automotive R&D environment
  
  
• Strong organizational skills with attention to detail and accuracy.
  
  
• Ability to work cross-functionally and communicate effectively with multiple teams.
  
  
• Familiarity with stock management systems, ERP platforms, or warehouse management software (preferred).
  
  
• Proactive, adaptable, and able to work in a fast-paced environment.

The Role

We’re looking for an organised individual who will passionately deliver a positive experience for our candidates and colleagues throughout the hiring process. To help Wayve scale during an exciting period of company growth, you’ll be joining our Talent team as a Coordinator on an initial 6-month fixed-term contract.

You’ll play a key role in delivering a smooth and welcoming interview experience—supporting candidates throughout the process while ensuring interviews are scheduled efficiently and accurately. This is a high-volume coordination role, ideal for someone who enjoys staying organised, communicating with a wide range of people, and creating a positive experience for others.

In this role, you will:

• Coordinate interviews: Manage high-volume scheduling across multiple calendars, ensuring interviews are arranged quickly and accurately.
• Deliver an excellent candidate experience: Act as the main point of contact for interview logistics, keeping candidates informed and supported throughout.
• Support hiring operations: Assist with occasional administrative tasks or ad hoc projects as needed.

About You

Essential

• Exceptional English language communication skills, both written and verbal.
• A genuine interest in creating a positive interviewing experience for candidates, interviewers and hiring teams.
• Demonstrable experience working in a fast-paced, high-volume environment.
• Highly organised and detail-oriented, with the ability to stay on top of multiple parallel priorities.
• Confident interacting with a variety of stakeholders in a professional and positive manner.
• Willingness to be in our London office 2–3 days per week.

Desirable

• Experience working in a role involving high-volume, detail-critical data entry where accuracy is required. This could include diary management or appointment scheduling - but is not essential to be considered for this role.

This is a full-time role based in our London office (2–3 days per week). This is an initial 6-month fixed-term contract.

We are seeking a Warehouse Specialist to support the day-to-day operations of our warehouse and stores function. The Warehouse Specialist will work closely with the Warehouse Manager/Lead and cross-functional teams (including AVOps, Supply Chain, and IT) to ensure smooth, efficient, and accurate material management processes. This role is critical to maintaining stock integrity, ensuring timely deliveries, and building robust processes to support Wayve’s upcoming growth.

Key Responsibilities

Warehouse Operations

• Manage and control inventory levels, ensuring accuracy and timeliness of all stock bookings, kittings, and cycle counts.
  
  
• Organize and label storage space to maintain clear and efficient warehouse operations.
  
  
• Coordinate inbound and outbound shipping/receiving processes, ensuring smooth collaboration with cross-functional teams.
  
  
• Support the Warehouse Manager in ensuring warehouse operations run efficiently and meet defined expectations.
  
  

Team & Process Integration

• Build effective working relationships with wider teams to support material deliveries and demand.
  
  
• Communicate clearly regarding store availability, demand requests, and component kitting/delivery timelines.
  
  

Material Handling

• Define and implement material handling and storage processes in the UK in coordination with the Warehouse Manager.
• Ensure specialized handling protocols for sensitive electronics (ESD) and automotive sensors.
  
  
• Promote efficient and cost-effective material management structures with contingency planning to prevent build delays.
  
  

Inventory & Stock Management

• Carry out accurate and timely bookings and kittings aligned with inbound deliveries and build plans.
  
  
• Implement and maintain a rolling cycle count to ensure stock integrity and a high level of data accuracy within the ERP .
  
  
• Support inventory forecasting and reporting by monitoring stock values and identifying slow-moving or obsolete inventory.
  
  
• Assist with developing processes to highlight and resolve inventory management issues proactively.
  
  

Continuous Improvement

• Actively participate in process improvement initiatives to enhance warehouse operations.
  
  
• Collaborate with the Warehouse Manager on new projects, adapting responsibilities as required.
  
  
• Contribute to building discipline and best practices across warehouse activities.
  
  

Skills & Qualifications

• Proven experience in warehouse operations, inventory control, or logistics, ideally within a high-tech or automotive R&D environment
  
  
• Strong organizational skills with attention to detail and accuracy.
  
  
• Ability to work cross-functionally and communicate effectively with multiple teams.
  
  
• Familiarity with stock management systems, ERP platforms, or warehouse management software (preferred).
  
  
• Proactive, adaptable, and able to work in a fast-paced environment.

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.   

The role 

As Wayve rapidly scales, our IT team plays a crucial role in keeping our employees productive and our operations efficient. We’re looking for an IT Support Engineer (TC2) to support the day-to-day IT needs across our Japan offices. This is a full-time, on-site role, with flexibility required to support each of our 3 offices as needed. You’ll be a hands-on, first-line problem solver—supporting everything from laptop configuration to meeting room A/V to network troubleshooting. You’ll also support joiner/mover/leaver processes, including onboarding and off-boarding tasks.

This role is ideal for someone early in their IT career who is eager to learn, thrives in a fast-paced environment, and wants to grow their skills while contributing to cutting-edge work in autonomous vehicle development.

Key responsibilities

End-User Support

• Provide timely support for laptops (Windows, macOS, Linux), mobile devices, printers, and peripherals.
• Troubleshoot hardware and software issues and escalate as needed.
• Manage onboarding and off-boarding tasks, including account provisioning and hardware setup when needed.

IT Systems & Tools

• Maintain and monitor endpoint management systems (e.g., MDM, patching, asset inventory).
• Assist in configuring and maintaining core business tools (e.g., GSuite, Slack, Jira, …).
• Help with access control and identity systems (SSO, MFA, user permissions).

Network & Infrastructure Support

• Support basic network troubleshooting (Wi-Fi, VPN, wired connectivity) under the guidance of senior engineers.
• Help manage and maintain meeting room A/V equipment, including Google Meet and Teams rooms.
• Provide on-site support across Japan offices as needed (3 offices).

Documentation & Process

• Contribute to internal IT documentation and knowledge base articles.
• Log and track tickets using the internal IT ticketing system (e.g., Jira, ServiceNow).

Team Collaboration

• Work closely with IT, Security, and Facilities teams to ensure smooth daily operations.
• Help support company-wide IT initiatives and system rollouts as needed.

About you  

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

Essential 

• 5 years + of professional experience in an IT support or systems administration role
• Familiarity with macOS
• Empathetic and service-oriented with strong communication skills.
• Willingness to learn and grow in a rapidly evolving tech environment.
• Ability to prioritize tasks and follow through with minimal supervision.
• Exposure to identity platforms (e.g., Okta, Google Workspace, Azure AD).
• Familiarity with ticketing systems and ITSM workflows.
• JLPT N1 required (or equivalent business-level fluency) in Japanese, written and spoken.
• Fluency in English (written and spoken) required

Desirable 

• Basic understanding of networking concepts (IP, DNS, DHCP, VPN).
• Familiarity with Linux operating systems.
• Experience with endpoint management tools (e.g., Kandji, Intune, …).

This is a full-time role based in our office in Tokyo, Japan.  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

This is a high-impact Fullstack Engineer opportunity to build and own a new internal web application that becomes the single go-to place for teams to browse computer vision models, run them on data subsets, and explore results.

You will partner directly with internal users to shape workflows and ship an MVP quickly, then iterate based on real feedback. As the first dedicated Fullstack hire in Corpus & Enrichment, you will set the standard for maintainable, scalable UI engineering that accelerates model development and data labelling workflows across the business.

Key responsibilities:

• Lead discovery with internal stakeholders to define user workflows, UX, and requirements for Enrichment Shop
• Build, ship, and iterate the Enrichment Shop product end-to-end using React/TypeScript and established backend web frameworks
• Integrate the frontend with existing systems and APIs (including Databricks-backed workflows and internal services)
• Incorporate user feedback into delivery planning and help define lightweight expectations/SLAs for an internal tool
• Build for long-term maintainability by writing clear, testable code and enabling others to contribute and support the system

About you  

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

Essential

• Strong JavaScript and TypeScript experience, with React as the preferred frontend direction
• Proven track record delivering a full web application, ideally owning work end-to-end in production
• Experience integrating with existing backend systems and APIs, and working effectively in an established codebase
• Able to operate independently, partnering directly with internal stakeholders and building pragmatic, maintainable, testable solutions

Desirable

• Experience with established web frameworks (for example Next.js or similar)
• Some full-stack exposure, including working close to backend services (Python/Django REST exposure a plus)
• Experience building internal tools and running a tight feedback loop with users, including setting lightweight expectations/SLAs

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 

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 

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 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.   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 Software Integration Engineer to join us on a contract basis within the Application Software team based in Germany, focused on localising and advancing Wayve’s autonomous driving technology.

In this role, you’ll be responsible for the bring-up and 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.

Key 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 at Wayve, we’re looking for the following skills and experience.  

• 5+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C++, Bash, and Python. 
• Proven experience with using and modifying Middlewares like OpenDDS, comm protocols utilizing gRPC or similar
• 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.

Desired 

• 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 is a full-time contract role based in our office in Leonburg, Germany.  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 looking for a Technical Operations to join Wayve's Technical Operations function, acting as the critical bridge between Science, Product, Engineering, and Operations. This role is ideal for someone who thrives in dynamic, high-growth environments and has proven experience translating complex technical strategies into actionable field operations.

You'll lead critical testing and demonstration programs across our global operations—spanning roadshow campaigns, customer-specific programs, and on-road validation activities—working cross-functionally to ensure structured feedback loops between field operations and development teams. This role is key to our transformation from an R&D-focused operation to a world-class, delivery-grade commercial AV organization that can execute seamlessly with customers and partners.

Key responsibilities:

• Technical and Operations Enablement: Convert high-level program plans into clear, actionable on-road plans in partnership with Fleet Operations leadership, ensuring alignment on scheduling, safety, and operational feasibility across diverse testing requirements.
• Testing and Validation: Lead execution across internal-facing  and external-facing programs, coordinating between technical teams and operations to ensure seamless testing and validation execution while maintaining safety protocols and capturing valuable feedback.
• Cross-Functional Alignment: Act as the connective tissue between model developers, researchers, product teams, and operations, ensuring two-way visibility and structured feedback loops that drive faster iteration on features, releases, and model performance.
• Operational Readiness: Collaborate closely with Fleet Operations to maintain consistent experiment design, vehicle availability, and process quality across testing programs, ensuring repeatable, high-quality delivery at scale.
• Continuous Improvement: Partner with Systems and Enablement teams to leverage fleet data, systems, and metrics for collaborative problem-solving and refinement of testing processes and internal tooling, quantifying improvements in operational performance.
• Innovation in Testing & Evaluation: Proactively brainstorm and explore new experimental methods (e.g., adversarial route selection, edge case testing concepts), fostering a culture of curiosity and bold experimentation to uncover insights that drive novel breakthroughs.
• Technical Collaboration: Build strong partnerships with model development teams, combining strategic thinking with practical operational expertise to maximize the value of every test, dataset, and feedback loop in support of commercial objectives.

About you  

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

Essential 

• Demonstrable' experience in technical program management or operations roles at the intersection of R&D, product development, and field testing in high-complexity environments (e.g., autonomous systems, robotics, aerospace, or advanced mobility).
• Proven track record of managing programs, demonstrations, or operations that require tight coordination between technical development teams and operational execution.
• Deep experience with test planning, operational readiness frameworks, and structured feedback loops between field operations and technical development teams.
• Strong facilitation and stakeholder management skills: able to lead cross-functional workshops and coordinate between Engineering, Science, Product, and Operations teams effectively.
• Proven ability to influence across teams and functions, including remote and international stakeholders in fast-paced technology environments.
• Strong written, verbal, and visual communication skills with experience creating technical documentation, SOPs, and stakeholder presentations.
• Ability to travel internationally up to 30% of the time to support on-site program coordination across testing regions.
• Strong problem-solving skills and comfort working in ambiguous, rapidly evolving environments with competing priorities.

Desirable 

• Experience in autonomous vehicles, advanced driver assistance systems, or field robotics operations.
• Exposure to automotive testing protocols, validation frameworks, or OEM partnership programs.
• Experience supporting scaling in global, distributed teams with complex technical dependencies.
• Experience with data analysis and performance tracking; able to build or interpret dashboards, identify operational bottlenecks, and quantify program improvements.
• Comfortable with project management tools such as Confluence, Asana/Jira, or equivalent, and experience implementing operational tracking systems.
• Background in process improvement methodologies (Lean, Six Sigma) or operational excellence frameworks.
• Familiarity with vehicle commissioning processes, fleet management systems, or automotive safety protocols.

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. We operate core working hours so you can determine the schedule that works best for you and your team. 

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 a 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.

What You’ll Be Working On

• 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  

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 modelling, or driver intent inference.
• Experience integrating ML systems into production hardware or multi-agent simulation.
  
  

This is a full-time role based in our office in Japan.  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’re seeking an exceptional Engineer to join our Germany-based Application Engineering team, focused on localising and advancing Wayve’s autonomous driving technology for the German market. You’ll play a pivotal role in integrating, validating, and optimising our MPC-based trajectory controller and AI software stack on new vehicle platforms ensuring safe, reliable, and high-performance driving in diverse real-world conditions.

This is a unique opportunity to work at the intersection of controls, systems integration, and applied machine learning, helping expand our AV capabilities across new operational domains while collaborating closely with robotics, ML, and vehicle engineering experts.

Key Responsibilities

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

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:

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

Desirable:

• Experience with control, dynamics and modelling of road vehicles.

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 office in Leonberg, GER. 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 

We're looking for a Robotaxi Technical Operations to join Wayve's Technical Operations function, acting as the critical bridge between Science, Product, Engineering, and Operations. This role is ideal for someone who thrives in dynamic, high-growth environments and has proven experience translating complex technical strategies into actionable field operations.

You'll lead critical testing and demonstration programs across our global operations—spanning roadshow campaigns, customer-specific programs, and on-road validation activities—working cross-functionally to ensure structured feedback loops between field operations and development teams. This role is key to our transformation from an R&D-focused operation to a world-class, delivery-grade commercial AV organisation that can execute seamlessly with customers and partners.

Key responsibilities:

• Technical and Operations Enablement: Convert high-level program plans into clear, actionable on-road plans in partnership with Fleet Operations leadership, ensuring alignment on scheduling, safety, and operational feasibility across diverse testing requirements.
• Testing and Validation: Execute across internal-facing  and external-facing programs, coordinating between technical teams and operations to ensure seamless testing and validation execution while maintaining safety protocols and capturing valuable feedback.
• Cross-Functional Alignment: Act as the connective tissue between model developers, researchers, product teams, and operations, ensuring two-way visibility and structured feedback loops that drive faster iteration on features, releases, and model performance.
• Operational Readiness: Collaborate closely with Fleet Operations to maintain consistent experiment design, vehicle availability, and process quality across testing programs, ensuring repeatable, high-quality delivery at scale.
• Continuous Improvement: Partner with Systems and Enablement teams to leverage fleet data, systems, and metrics for collaborative problem-solving and refinement of testing processes and internal tooling, quantifying improvements in operational performance.
• Innovation in Testing & Evaluation: Proactively brainstorm and explore new experimental methods (e.g., adversarial route selection, edge case testing concepts), fostering a culture of curiosity and bold experimentation to uncover insights that drive novel breakthroughs.
• Technical Collaboration: Build strong partnerships with model development teams, combining strategic thinking with practical operational expertise to maximize the value of every test, dataset, and feedback loop in support of commercial objectives.

About you  

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

Essential 

• Demonstrable' experience in technical program management or operations roles at the intersection of R&D, product development, and field testing in high-complexity environments (e.g., autonomous systems, robotics, aerospace, or advanced mobility).
• Proven track record of managing programs, demonstrations, or operations that require tight coordination between technical development teams and operational execution.
• Deep experience with test planning, operational readiness frameworks, and structured feedback loops between field operations and technical development teams.
• Strong facilitation and stakeholder management skills: able to lead cross-functional workshops and coordinate between Engineering, Science, Product, and Operations teams effectively.
• Proven ability to influence across teams and functions, including remote and international stakeholders in fast-paced technology environments.
• Strong written, verbal, and visual communication skills with experience creating technical documentation, SOPs, and stakeholder presentations.
• Ability to travel internationally up to 30% of the time to support on-site program coordination across testing regions.
• Strong problem-solving skills and comfort working in ambiguous, rapidly evolving environments with competing priorities.

Desirable 

• Experience in autonomous vehicles, advanced driver assistance systems, or field robotics operations.
• Exposure to automotive testing protocols, validation frameworks, or OEM partnership programs.
• Experience supporting scaling in global, distributed teams with complex technical dependencies.
• Experience with data analysis and performance tracking; able to build or interpret dashboards, identify operational bottlenecks, and quantify program improvements.
• Comfortable with project management tools such as Confluence, Asana/Jira, or equivalent, and experience implementing operational tracking systems.
• Background in process improvement methodologies (Lean, Six Sigma) or operational excellence frameworks.
• Familiarity with vehicle commissioning processes, fleet management systems, or automotive safety protocols.

Desirable 

• This is a full-time role based in our offices in London. 

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.   

The role 

We're looking for a Robotaxi Technical Operations to join Wayve's Technical Operations function, acting as the critical bridge between Science, Product, Engineering, and Operations. This role is ideal for someone who thrives in dynamic, high-growth environments and has proven experience translating complex technical strategies into actionable field operations.

You'll lead critical testing and demonstration programs across our global operations—spanning roadshow campaigns, customer-specific programs, and on-road validation activities—working cross-functionally to ensure structured feedback loops between field operations and development teams. This role is key to our transformation from an R&D-focused operation to a world-class, delivery-grade commercial AV organisation that can execute seamlessly with customers and partners.

Key responsibilities:

• Technical and Operations Enablement: Convert high-level program plans into clear, actionable on-road plans in partnership with Fleet Operations leadership, ensuring alignment on scheduling, safety, and operational feasibility across diverse testing requirements.
• Testing and Validation: Execute across internal-facing  and external-facing programs, coordinating between technical teams and operations to ensure seamless testing and validation execution while maintaining safety protocols and capturing valuable feedback.
• Cross-Functional Alignment: Act as the connective tissue between model developers, researchers, product teams, and operations, ensuring two-way visibility and structured feedback loops that drive faster iteration on features, releases, and model performance.
• Operational Readiness: Collaborate closely with Fleet Operations to maintain consistent experiment design, vehicle availability, and process quality across testing programs, ensuring repeatable, high-quality delivery at scale.
• Continuous Improvement: Partner with Systems and Enablement teams to leverage fleet data, systems, and metrics for collaborative problem-solving and refinement of testing processes and internal tooling, quantifying improvements in operational performance.
• Innovation in Testing & Evaluation: Proactively brainstorm and explore new experimental methods (e.g., adversarial route selection, edge case testing concepts), fostering a culture of curiosity and bold experimentation to uncover insights that drive novel breakthroughs.
• Technical Collaboration: Build strong partnerships with model development teams, combining strategic thinking with practical operational expertise to maximize the value of every test, dataset, and feedback loop in support of commercial objectives.

About you  

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

Essential 

• Demonstrable' experience in technical program management or operations roles at the intersection of R&D, product development, and field testing in high-complexity environments (e.g., autonomous systems, robotics, aerospace, or advanced mobility).
• Proven track record of managing programs, demonstrations, or operations that require tight coordination between technical development teams and operational execution.
• Deep experience with test planning, operational readiness frameworks, and structured feedback loops between field operations and technical development teams.
• Strong facilitation and stakeholder management skills: able to lead cross-functional workshops and coordinate between Engineering, Science, Product, and Operations teams effectively.
• Proven ability to influence across teams and functions, including remote and international stakeholders in fast-paced technology environments.
• Strong written, verbal, and visual communication skills with experience creating technical documentation, SOPs, and stakeholder presentations.
• Ability to travel internationally up to 30% of the time to support on-site program coordination across testing regions.
• Strong problem-solving skills and comfort working in ambiguous, rapidly evolving environments with competing priorities.

Desirable 

• Experience in autonomous vehicles, advanced driver assistance systems, or field robotics operations.
• Exposure to automotive testing protocols, validation frameworks, or OEM partnership programs.
• Experience supporting scaling in global, distributed teams with complex technical dependencies.
• Experience with data analysis and performance tracking; able to build or interpret dashboards, identify operational bottlenecks, and quantify program improvements.
• Comfortable with project management tools such as Confluence, Asana/Jira, or equivalent, and experience implementing operational tracking systems.
• Background in process improvement methodologies (Lean, Six Sigma) or operational excellence frameworks.
• Familiarity with vehicle commissioning processes, fleet management systems, or automotive safety protocols.

This is a full-time role based in our offices in Japan. 

The role 

As Communications Lead, Japan, you will build Wayve’s presence in one of the world’s most important automotive markets. This is a hands-on, high-impact role where you will lead in-market PR and communications while shaping how embodied AI and self-driving technology are introduced to Japan. You’ll work closely with the global comms and marketing teams to localize strategy, support major milestones such as robotaxi launches and automaker partnerships, and build a market presence and brand trust that punches above its weight. This is a rare opportunity to define a category in-market from the ground up.

Key responsibilities:

• Lead and execute Wayve’s communications strategy in Japan, with a strong focus on earned media and PR-based storytelling
• Build and manage relationships with Japanese media, industry stakeholders, and key opinion leaders
• Develop and localize global narratives, campaigns, and announcements for the Japanese market
• Support major company milestones, including robotaxi launches and automaker partnerships, through strategic communications
• Plan and deliver local events, conferences, and speaking opportunities to support business development, brand growth, and recruitment
• Partner closely with the policy team to support Japanese regulatory engagement and strategic media positioning
• Act as the first line of response for local communications risks and issues, coordinating closely with global teams on crisis communications
• Support executive communications in Japan, including media engagements, interviews, and speaking opportunities
• Provide market intelligence and surface local insights to inform global strategy and competitive positioning
• Collaborate cross-functionally with global marketing, comms, and design teams to deliver high-quality, locally relevant outputs
• Contribute to internal communications by adapting global messaging for the Japan team

About you  

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

Essential 

• Significant experience in communications and PR in Japan, ideally within deep tech, autonomous mobility or automotive sectors
• Strong network and understanding of the Japanese media landscape
• Exceptional written and verbal communication skills in both Japanese and English
• Proven ability to translate complex technical concepts into clear, compelling narratives
• Experience leading PR campaigns and managing high-impact announcements
• Experience leading conference strategy and executive speaking engagements
• Ability to operate autonomously in a fast-paced, high-growth environment
• Strong collaboration skills, with experience working across global teams
• A proactive, builder mindset with the ability to identify opportunities and drive impact

Desirable 

• Experience in autonomous driving, AI, or deep technology sectors
• Experience supporting policy, regulatory, or public affairs communications
• Experience working in a global company or scaling a brand in a new market
• Experience supporting executive communications and high-profile speaking engagements

This is a full-time role based in our office in Tokyo or Yokohama.  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 

The Materials Program Manager (Japan) is responsible for end-to-end materials execution for Wayve’s autonomous vehicle and hardware programs in Japan. This includes materials procurement, supplier coordination, CTB readiness, material receiving, secure storage, and outbound shipping, in close partnership with Engineering, Operations, and the global Supply Chain team.

This role ensures that materials flow efficiently from suppliers through receipt, storage, and delivery to workshops or vehicle upfitting locations, while maintaining visibility, cost control, and compliance. The role operates in a fast-paced, Agile environment and plays a critical part in taking early-stage hardware development toward scalable execution.

Key Responsibilities

Materials Program Ownership & Execution

• Own and manage materials programs enabling Wayve’s autonomous vehicle and hardware development in Japan
• Drive execution across procurement, receiving, storage, and shipping to meet aggressive program milestones
• Identify and manage dependencies and blockers across multi-disciplinary teams to ensure smooth materials flow

Materials Procurement & CTB Readiness

• Own materials procurement activities in coordination with sourcing and purchasing teams
• Drive and manage the CTB (Clear to Build) process with suppliers,  contract manufacturers, workshop teams, and internal stakeholders
• Ensure clear visibility into procurement strategy, material availability, lead times, and build readiness
• Support supplier negotiations on pricing, availability, and scale readiness

Supplier & Partner Management

• Work closely with Engineering to onboard, set up, and manage suppliers and partners within the Japanese market
• Own tracking of supplier progress, deliverables, and handoffs
• Build strong working relationships with suppliers across a broad range of industries
• Support escalation management and issue resolution, acting as the primary local point of contact

Materials Receiving, Storage & Shipping

• Coordinate and oversee material receiving in Japan, ensuring accuracy, traceability, and proper documentation
• Manage secure storage of high-value, long-lead-time materials, including inventory tracking and access controls
• Coordinate outbound shipping of materials to workshops, vehicle upfitting locations, or other Wayve sites
• Work with local Japanese logistics and customs requirements and internal teams to ensure compliant and timely shipments

Engineering Collaboration & Design Support

• Partner with Engineering, Operations, and Product teams to embed strong engineering and manufacturing practices
• Support design-for-manufacturing and design-for-scale decisions
• Help guide early-stage designs toward scalable, cost-effective production solutions

Cross-Functional Coordination & Communication

• Act as a central point of coordination across Engineering, Supply Chain, Operations, and external partners
• Drive alignment and decision-making across stakeholders with competing priorities
• Clearly communicate risks, tradeoffs, and decisions to both working-level teams and leadership 

Success Metrics

• On-time materials procurement and readiness aligned to program milestones
• Clear CTB visibility with reduced last-minute procurement escalations
• Accurate material receiving, storage, and inventory tracking
• Reliable and compliant outbound shipping execution
• Improved cost visibility and supplier execution

Essential Qualifications

• Experience bringing newly developed products to scale through supplier and partner relationships
• Strong project or program management experience with the ability to influence across teams
• Experience coordinating materials procurement, receiving, storage, and shipping
• Professional proficiency in English and Japanese (written and verbal)
• Knowledge of Japanese logistics, import/export regulations, and local business etiquette
• Ability to perform cost analysis and support negotiations
• Excellent communication and stakeholder management skills
• Comfortable working in an Agile environment with aggressive timelines

This is a full-time role based in our offices in either Tokyo or Yokohama.  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. 

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 

Join Wayve’s Onboard Experience team to lead the technical direction of the in-vehicle web experience that helps people see and trust what an autonomous vehicle is doing in real time. You will own a high-impact product used in live vehicle operations, spanning camera/video, 2D overlays, and 3D spatial visualisation of the vehicle’s surroundings. This is a rare opportunity to build reliable, safety-critical software under real-world constraints while shaping how complex AI systems are presented to humans. You will work closely with operators and engineers, balancing rapid iteration with robustness, performance, and maintainability.

Key responsibilities

• Lead architecture and technical strategy across web, backend, and in-vehicle environments, setting standards for reliability, performance, and code quality.
• Drive the evolution of real-time visualisation features, including camera/video + overlays and 3D spatial rendering of trajectories, perception, and occupancy.
• Partner with operators, product, safety, and engineering stakeholders to prioritise and deliver improvements that measurably increase usability and operational efficiency.
• Mentor engineers and raise the bar on engineering practices, including testing, observability, incident readiness, and long-term maintainability.
• Make pragmatic trade-offs in a constrained, intermittently connected environment, ensuring the system remains dependable in live demos and day-to-day operations.

About you  

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

Essential

• Proven experience leading technical design and delivery of complex software systems across frontend and backend.
• Strong fullstack expertise in React and TypeScript, plus backend services and APIs, with confidence making architecture decisions and aligning multiple engineers.
• Experience setting technical direction across multi-platform surfaces (web + Android/in-vehicle), and ensuring cohesive integration end-to-end.
• Demonstrated ability to build and operate production systems with high reliability expectations, including incident readiness and long-term maintainability.
• Strong understanding of performance constraints in rich, interactive web UIs, including rendering, memory, and handling high-frequency / real-time data.
• Track record of driving engineering quality through pragmatic practices: testing strategy, observability, monitoring, and clear ownership.
• Ability to work with high autonomy in ambiguous problem spaces and make effective trade-offs between speed, reliability, and maintainability.
• Strong cross-functional collaboration skills, able to translate operator and stakeholder needs into technical plans and prioritised delivery.
• Experience mentoring engineers through design reviews, pairing, feedback, and setting team standards.

Desirable

• Experience building real-time visualisation products (video + overlays, telemetry dashboards, spatial visualisation) where latency and correctness matter.
• Hands-on experience with browser-based 3D rendering (WebGL, Three.js, React Three Fiber), including scene graph design and real-time update loops.
• Experience building software for constrained environments, including intermittent connectivity and strict reliability requirements.
• Familiarity with in-vehicle or embedded-adjacent constraints, and integrating with hardware or platform-specific systems.
• Experience improving usability for real operational users through rapid iteration loops, research, and measurable product impact.
• Experience establishing or evolving technical standards across a codebase: architecture patterns, libraries, tooling, and release processes.

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 

Join Wayve to build the in‑vehicle interface that helps people see and understand what an autonomous vehicle is doing in real time. You will turn complex AI outputs, camera feeds, and vehicle state into clear, trustworthy 2D and 3D visualisations that are used in moving vehicles every day. This role spans rapid iteration with real operators and the engineering depth needed for reliable, high-performance multi-platform systems. The impact is direct: you will shape how humans interact with autonomy and how the organisation diagnoses and improves on-road behaviour.

Key responsibilities:

• Build and evolve an in‑vehicle web application that visualises camera feeds, vehicle state, and system outputs for live operation, demos, and diagnostics.
• Design and deliver 3D spatial visualisations of the vehicle’s surroundings (trajectories, perception meshes, occupancy, overlays) using WebGL / Three.js / similar.
• Integrate high-frequency real-time data streams and backend services into a responsive, performant UI that runs reliably in constrained environments.
• Partner closely with Vehicle Safety Operators and engineers to understand workflows, iterate quickly based on field feedback, and improve usability and operational efficiency.
• Own technical quality and long-term maintainability: architecture, testing, observability, performance tuning, and clear end-to-end feature ownership across the stack.

About you  

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

Essential

• Strong JavaScript/TypeScript + React experience building production-grade web applications end-to-end.
• Experience building browser-based 3D visualisations (WebGL, Three.js, React Three Fiber, or similar).
• Proven ability to integrate frontends with backend services and real-time, high-frequency data streams.
• Strong engineering fundamentals around performance, reliability, testing, and maintainable system design, with clear ownership and high autonomy.
• Ability to work closely with users and stakeholders (operators and engineers), iterate quickly based on feedback, and still ship robust solutions.
• Strong debugging and problem-solving skills, including diagnosing issues across UI, data pipelines, and runtime/perf bottlenecks.

Desirable

• Experience shipping software in constrained or safety-critical environments (for example, in-vehicle, edge, intermittent connectivity).
• Experience working across multi-platform systems (web + mobile/Android) and designing cohesive architectures across them.
• Demonstrated technical leadership: setting direction, mentoring, and driving quality improvements (observability, scalability, robustness).
• Experience with UI performance and rendering optimisation, especially for complex scenes or data-heavy visualisations.
• Familiarity with streaming architectures, pub/sub, or telemetry systems that support real-time visualisation and monitoring.

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 

The Field Engineer is a hands-on technical contributor responsible for diagnosing and resolving vehicle software and hardware issues to keep the fleet operational. They will play a critical role in rapid fault triage, ensuring a 5-minute response time while strictly adhering to safety protocols. Working closely with fellow engineers and global teams, they will contribute to seamless operations through effective communication and problem solving. As part of a newly established function within Fleet Operations, the Field Engineer will help refine processes and drive efficiency in a fast-paced, high-impact environment.

Key responsibilities:

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

About you 

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

Essential:

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

Desirable:

• Knowledge of ADAS technology and on-road testing requirements is highly advantageous.
• L2 Automobile Mechanic certification
• Japanese language ability: JLPT N2 or above

Additional requirements:

• This role is based on a rota with a shift pattern:
  Monday to Sunday - (must be able to work weekends)
  06:00 - 15:00
  13:00 - 22:00
• On-site at our office in Tokyo and Yokohama.
• All applications are required to disclose any second job as part of the application process.
• All applications will be subject to a health check before/after. 
• Employment is contingent upon passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy.

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.

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

The role 

The Operational Safety Coordinator (OSC) plays a key supporting role in ensuring Wayve’s autonomous vehicle fleet testing is safe, compliant, and well-documented. Reporting to the Operational Safety Manager, the OSC monitors our safety performance, daily risks, supports incident response, maintains safety documentation, and contributes to audits and compliance reviews.

This is a safety-critical role, subject to pre-employment and random drug and alcohol testing. It also requires some out-of-hours availability to support UK operations and flexibility to attend cross-geo meetings online, occasionally outside of UK office hours.

About you 

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

Essential:
• 2+ years’ experience in safety, compliance, operations, or coordination.
• Knowledge of ADAS (Advanced Driver Assistance Systems) and/or autonomous vehicle operations.
• Organised, detail-focused, and proactive in identifying risks.
• Comfortable working with safety data (dashboards, reports, checklists).
• Strong communication skills across teams and disciplines.

Desirable:
• Experience as a Vehicle Safety Operator (VSO), or willingness to undertake VSO familiarisation training.
• Understanding of Human Factors in safety-critical environments.
• Experience with creating dashboards, data analytics and presenting insights to senior leaders and stakeholders.
• Experience supporting safety investigations or audits.

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.

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

The role 

Wayve is deploying its autonomous driving technology into real-world robotaxi operations supported by strategic partners, with ambition to scale to multiple markets and cities in the near term. This role sits at the heart of that effort, as part of a cross-functional team realising our strategic goal to bring AI-powered mobility to new use cases and cities around the world.

As Robotaxi Safety Programme Lead, you will own the day-to-day execution of the safety programme required to deploy and scale operations across multiple cities. You will translate Wayve’s safety approach, Safety Management System (SMS), and safety case into a structured, scalable programme aligned with our partners safety requirements as well as in compliance with various regulatory environments.

This is a high-impact role. You will work across engineering, operations, legal, policy, and partner teams to ensure we deliver a safety programme that is credible, scalable, and defensible.

Key responsibilities:

• Ownership and scaling of robotaxi pilot safety plan(s) and underlying artefacts
• Structure, track and execute key safety management deliverables with the support of key cross-functional teams from engineering, product, regulatory affairs and more
• Liaise with external partners to align requirements and translate to delivery plans
• Track, aggregate and report key safety performance indicators and other metrics
• Identify, plan and execute needs for safety plan expansion as Wayve identifies new markets for deployment

About you  

In order to set you up for success as a Robotaxi Safety Programme Lead at Wayve, we’re looking for the following skills and experience.  

Essential 

• Experience with creating and executing safety management activities, spanning safety policy, assurance, risk management and safety promotion
• Applied experience with safety in a fleet operations environment or similar
• Partner and stakeholder engagement experience
• Risk management tools and evaluation
• Cross-functional project management

Desirable 

• Safety management system experience in an automotive, aerospace or transportation setting
• Operations or safety experience with platform marketplace businesses, such as ride-sharing, delivery, micromobility
• Familiarity with global autonomous vehicle test and deployment regulations and reporting requirements

This is a full-time, office-based role located in London or Sunnyvale, CA depending on the candidate's place of residence. 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 Principal Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve’s autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan 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.

Key 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 at Wayve, we’re looking for the following skills and experience.  

• 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.
• No Japanese language required. 

Desired 

• 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 is a full-time role based in our office in Tokyo - we offer relocation package and visa sponsorship.

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 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.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

The role 

We’re seeking an exceptional Principal Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve’s autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan 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.

Key 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 at Wayve, we’re looking for the following skills and experience.  

• 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.
• No Japanese language required. 

Desired 

• 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 is a full-time role based in our office in Tokyo - we offer relocation package and visa sponsorship.

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 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.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

The role 

We’re seeking an exceptional Principal Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve’s autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan 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.

Key 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 at Wayve, we’re looking for the following skills and experience.  

• 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.
• No Japanese language required. 

Desired 

• 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 is a full-time role based in our office in Tokyo - we offer relocation package and visa sponsorship.

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 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.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

The role 

We’re seeking an exceptional Principal Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve’s autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan 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.

Key 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 at Wayve, we’re looking for the following skills and experience.  

• 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.
• No Japanese language required. 

Desired 

• 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 is a full-time role based in our office in Tokyo - we offer relocation package and visa sponsorship.

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 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.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

The role 

We’re seeking an exceptional Principal Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve’s autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan 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.

Key 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 at Wayve, we’re looking for the following skills and experience.  

• 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.
• No Japanese language required. 

Desired 

• 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 is a full-time role based in our office in Tokyo - we offer relocation package and visa sponsorship.

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 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.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

The role 

We’re seeking an exceptional Principal Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve’s autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan 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.

Key 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 at Wayve, we’re looking for the following skills and experience.  

• 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.
• No Japanese language required. 

Desired 

• 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 is a full-time role based in our office in Tokyo - we offer relocation package and visa sponsorship.

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 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.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

The role 

Wayve is building the AI Driver to power autonomous mobility at global scale. As we deploy robotaxi services with leading partners, we are hiring a Strategic Partnerships Manager to help scale our commercial ecosystem in London and Tokyo. This is a high-impact role at the intersection of autonomy, mobility platforms, and automotive OEMs — focused on enabling safe, scalable L4 deployment.

You will lead day-to-day commercial execution of Wayve’s robotaxi partnerships in your market, working closely with ride-hailing platforms, OEM partners and cross-functional internal teams to deliver successful pilot launches and fleet scale-up.

This role combines strategic thinking with hands-on execution across product readiness, operational launch, and commercial scaling.

Key responsibilities:

• Drive commercial execution of robotaxi deployments in London or Tokyo.
• Serve as the primary partnership manager to interface with ride-hailing and broader ecosystem partners.
• Drive launch readiness across technical integration, fleet ramp, and operational milestones.
• Track performance KPIs and proactively manage commercial and operational risks.
• Coordinate cross-functionally across Engineering, Product, Safety, Operations, Policy, and Marketing to ensure successful deployments.
• Support market expansion planning and long-term scaling to production vehicles.

About you  

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

Essential 

• Strong ownership mindset with a proven track record of driving initiatives from strategy through execution with measurable commercial or operational impact.
• Commercially rigorous and action-oriented, with experience managing complex external partnerships with accountability for outcomes.
• Demonstrated ability to operate in fast-moving, ambiguous environments, bringing structure, clarity, and momentum to evolving situations.
• Credible cross-functional leader, able to align engineering, product, operations, safety, and policy teams around shared objectives.
• Experienced in managing performance, risk, and competing priorities, using data and structured thinking to proactively resolve issues.
• Balances long-term scaling vision with near-term delivery discipline, particularly in complex or regulated environments.

Desirable 

• 6+ years in strategic partnerships, mobility, autonomy, AI or technology platforms
• Experience in regulated industries or operational market launches.
• For Tokyo: strong understanding of the Japanese market and local business culture.

This is a hybrid role located 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. We operate core working hours so you can determine the schedule that works best for you and your team. 

The role 

Wayve is building the AI Driver to power autonomous mobility at global scale. As we deploy robotaxi services with leading partners, we are hiring a Strategic Partnerships Manager to help scale our commercial ecosystem in London and Tokyo. This is a high-impact role at the intersection of autonomy, mobility platforms, and automotive OEMs — focused on enabling safe, scalable L4 deployment.

You will lead day-to-day commercial execution of Wayve’s robotaxi partnerships in your market, working closely with ride-hailing platforms, OEM partners, and cross-functional internal teams to deliver successful pilot launches and fleet scale-up.

This role combines strategic thinking with hands-on execution across product readiness, operational launch, and commercial scaling.

Key responsibilities:

• Drive commercial execution of robotaxi deployments in London or Tokyo.
• Serve as the primary partnership manager to interface with ride-hailing and broader ecosystem partners.
• Drive launch readiness across technical integration, fleet ramp, and operational milestones.
• Track performance KPIs and proactively manage commercial and operational risks.
• Coordinate cross-functionally across Engineering, Product, Safety, Operations, Policy, and Marketing to ensure successful deployments.
• Support market expansion planning and long-term scaling to production vehicles.

About you  

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

Essential 

• Strong ownership mindset with a proven track record of driving initiatives from strategy through execution with measurable commercial or operational impact.
• Commercially rigorous and action-oriented, with experience managing complex external partnerships with accountability for outcomes.
• Demonstrated ability to operate in fast-moving, ambiguous environments, bringing structure, clarity, and momentum to evolving situations.
• Credible cross-functional leader, able to align engineering, product, operations, safety, and policy teams around shared objectives.
• Experienced in managing performance, risk, and competing priorities, using data and structured thinking to proactively resolve issues.
• Balances long-term scaling vision with near-term delivery discipline, particularly in complex or regulated environments.

Desirable 

• 6+ years in strategic partnerships, mobility, autonomy, AI or technology platforms
• Experience in regulated industries or operational market launches.
• For Tokyo: strong understanding of the Japanese market and local business culture.

This is a full-time role based in our office in London and Tokyo.  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.