wayve

About The Role As Wayve grows, so do the expectations of our customers and stakeholders. We need a scalable approach to validating our controls and providing confidence that our security programme is operating as intended. As our Security Assurance Manager, you'll join the Security team to establish Wayve's security assurance capability. You'll design and operate the processes, methodologies, and relationships that enable continuous validation of our security controls, supporting certifications such as TISAX and ISO 21434, meeting customer contractual commitments, and strengthening trust across the organisation. This is an opportunity to build a security assurance capability from the ground up. As a fast-growing engineering organisation, you'll shape how assurance evolves as we scale. You'll work closely with teams across Wayve to evolve assurance from periodic, manual testing towards continuous, data-driven validation. We'd love to hear from you if you're motivated by helping engineering teams build stronger security through objective evidence, collaboration, and continuous improvement. Key responsibilities Build our security assurance capability Design, implement, and continuously improve Wayve's security assurance capability. Develop pragmatic, risk-based assurance methodologies that provide confidence our security controls are operating effectively. Define testing approaches, assurance plans, and reporting that support our security programme as it continues to mature. Build trusted relationships across Wayve to embed assurance into the way we operate. Help establish a culture where assurance is recognised not as a burden, but as a source of insight that helps us improve our security posture. Validate control effectiveness Perform ongoing assurance activities to validate the design and operating effectiveness of security controls across the organisation. Produce objective, evidence-based assessments of control effectiveness and clearly communicate findings to stakeholders. Independently assess controls while working collaboratively with teams to strengthen security outcomes and improve control maturity. Track assurance findings through remediation, validating that issues have been effectively addressed. Support external assessments, certifications, and customer assurance activities by providing trusted assurance evidence. Drive continuous assurance Partner with the Security Analytics Engineer to automate evidence collection and evolve assurance from periodic assessments to continuous validation. Identify opportunities to replace manual assurance activities with scalable, data-driven approaches. Develop repeatable testing methodologies that increase consistency, quality, and coverage as the programme matures. Contribute to the ongoing evolution of Wayve's security control framework by identifying opportunities to improve control design, measurability, and assurance. About you Essential Experience designing, building, or operating security assurance or controls assurance within organisations with modern tech stacks. Strong understanding of security controls and how to evaluate both design and operating effectiveness. Experience working in cloud-native, SaaS-heavy environments and collaborating closely with engineering teams. Experience developing assurance methodologies, performing control testing, and communicating assurance outcomes to technical and non-technical stakeholders. Ability to independently challenge control effectiveness while building collaborative relationships that help teams improve. Strong communication skills, with the ability to influence stakeholders across our business. A pragmatic mindset, balancing strong governance with the realities of a fast-moving engineering-led organisation. Desirable Experience supporting security assurance programmes for frameworks such as TISAX, ISO 21434, ISO 27001, SOC 2, or similar. Experience helping organisations evolve from periodic assurance towards continuous assurance. Familiarity with assurance techniques in cloud-native and software engineering environments. Professional certifications such as CISA, ISO 27001 Lead Auditor, or similar. What success looks like During Your First Year You Will Establish Wayve's security assurance capability and embed it into the Security programme. Implement an ongoing assurance process that provides confidence key security controls are operating effectively. Build strong partnerships across internal teams that enable assurance to become a collaborative activity rather than a point-in-time exercise. Deliver independent, evidence-based assurance over controls supporting TISAX, ISO 21434, and customer security commitments. Introduce automation into selected assurance activities through partnership with the Security Analytics Engineer. Help establish a culture where assurance is recognised as a source of insight that enables Security to continuously improve.

The role As the Lead Technical Program Manager for AI Platform at Wayve, you'll build and lead the technical program management function for our AI Platform org - the data and compute infrastructure, model-development workflow tooling, training technology, compute management, and embedded / inference optimisation that get Wayve's models trained, iterated, and deployed onto the vehicle. This is the platform the whole company builds on. You'll be the delivery partner to engineering leadership across AI Platform, driving predictable, high-leverage delivery of the systems that determine how fast Wayve can train and ship models. You'll lead flagship programs yourself while supporting and coaching a small, high-impact TPM team. Your impact is measured in developer velocity, compute efficiency and cost, training and inference performance, and how reliably the platform lands. A successful TPM leader is a force multiplier - helping teams move faster, more effectively, and with purpose. Key Responsibilities Lead the function: Build, coach, and grow a small TPM team; hire to fill gaps and raise the bar. Own platform delivery: Partner with AI Platform leadership on planning, prioritisation, and execution across the platform roadmap - data & compute infra, dev tooling, training tech, compute management, and embedded / inference. Trusted partner for Engineering: You are a leader in the org. You will maintain the partnership with Engineering leaders to land big outcomes, pushing teams to land impact with high leverage and hold leaders to account. Drive flagship programs directly: Data & compute infrastructure, model-development workflow and tooling, training technology, compute management, and embedded / inference optimisation. Establish scalable practices: Planning cadences, governance, KPIs and dashboards, escalations and operational reviews. Align cross-functionally: Work with ML / research, infrastructure, embedded / on-vehicle, and engineering teams (and cloud / vendor partners); manage dependencies, risk, and trade-offs. Connect to outcomes and represent AI Platform: Tie delivery to developer velocity, compute efficiency and cost, and training / inference performance, and represent AI Platform in company-level reviews. About you In order to set you up for success as a Lead Technical Program Manager, AI Platform at Wayve, we're looking for the following skills and experience. Essential 8+ years in platform / infrastructure: Deep, hands-on experience delivering platform or infrastructure programs as a technical program manager - compute, ML infra, developer tooling, training or inference systems - including people and process leadership. You've built or scaled a program function and you get things done with ownership and a bias for action. People leadership: You build, coach, and grow high-performing teams, and raise the bar on the craft. Highly technical: Credible with engineers across ML infrastructure, compute, and embedded systems, even though you won't write production code. A genuinely technical TPM who can go deep with platform and systems engineers. Strong understanding of Machine Learning, GPUs, and the training and inference of large (500M-20B+ parameter) models, plus the compute and orchestration that support them. Embedded / on-vehicle systems experience - inference optimisation, model deployment to constrained edge / embedded compute, and the hardware-software trade-offs involved. Familiar with compute management and ML platform tooling - e.g. Kubernetes, Ray, Flyte, Docker, cloud (Azure), Python - and model-development / experiment workflow tooling. Proficient with AI Agents to accelerate execution: e.g. Cursor, Claude, Codex. Stays neutral and adapts under pressure: Effective in ambiguous, fast-moving environments; you flex your style and bring structure without slowing delivery. Systems thinking: You reason about how the parts of a complex platform / systems stack fit together, and how a change in one area ripples into others. Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity. Exceptional cross-functional leadership: You align and influence across ML / research, infrastructure, embedded, and engineering without relying on authority. Strategic & business impact: You link platform investment to measurable outcomes - developer velocity, compute efficiency, cost, and model performance. Clear, data-driven communicator: You set direction with clarity and steer with the right metrics. Growth mindset: Open to feedback and always looking to improve. Desirable Working experience with a large-scale ML / compute platform used by 100s of engineers and researchers. Embedded / edge inference, on-device model optimisation, or hardware-aware ML experience. Background in autonomous vehicles, robotics, or another large-scale ML / infrastructure program. An engineering or computer science degree, or experience working as an engineer. 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, with time spent working from home.

Wayve seeks a Lead Technical Program Manager for its AI Platform in London. You will build and lead the TPM function for data and compute infrastructure, model-dev tooling, and training tech to accelerate model development and deployment across the vehicle stack. You will partner with AI Platform leadership to drive high-leverage delivery, coach a small TPM team, and align cross-functional teams across ML, infra, and cloud partners to an outcomes-focused roadmap.

Wayve in London (UK) and Sunnyvale (US) is seeking a Staff Robotics Engineer, 3D Sensing to lead LiDAR and cross-sensor 3D sensing development. You will own calibration, synchronization, and alignment of LiDAR with cameras, enabling robust perception and ground-truth generation across diverse vehicles and conditions. As a senior individual contributor, you will shape architecture and roadmap for 3D sensing, mentor engineers, and tackle real-world timing and motion challenges in production-ready

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role Wayve is seeking a Staff Robotics Engineer, 3D Sensing to lead the technical development of our LiDAR and cross-sensor 3D sensing capabilities. You will own the systems used to calibrate, synchronise and align LiDARs with cameras and other vehicle sensors, enabling accurate and reliable 3D data for perception, reconstruction and ground-truth generation. This is a senior individual-contributor role with responsibility for shaping the architecture and technical roadmap for 3D sensing, while remaining deeply involved in algorithm development, implementation, evaluation and deployment. You will solve challenging problems arising from real sensor systems-including imperfect time synchronisation, rolling-shutter cameras and LiDAR sweep patterns-and develop robust methods that operate across diverse vehicles, environments and operating conditions. You will collaborate broadly across Wayve and provide technical leadership and mentorship across the 3D sensing stack. Key responsibilities: Define and evolve the technical architecture and roadmap for Wayve's LiDAR and cross-sensor 3D sensing capabilities, aligned with product and vehicle-programme requirements. Lead the development of target-based and targetless LiDAR calibration and registration methods, including LiDAR-to-camera alignment using geometric and learned approaches. Develop robust temporal alignment and motion compensation methods using techniques such as LiDAR odometry, nonlinear least-squares optimisation and factor graphs. Establish evaluation methodologies and productionise reliable, scalable 3D sensing systems that operate across diverse vehicles, environments and sensor configurations. Work with engineering and research teams to deliver end-to-end 3D sensing capabilities, while providing technical leadership and mentorship to other engineers. About you In order to set you up for success as a Staff Robotics Engineer, 3D Sensing at Wayve, we're looking for the following skills and experience: Essential Significant experience developing robotics or autonomous-driving systems involving LiDAR, cameras and 3D sensor data. Strong experience with target-based or targetless sensor calibration and registration, including LiDAR-to-camera alignment. Strong understanding of 3D geometry, state estimation and optimisation techniques, including nonlinear least-squares methods or factor graphs. Experience accounting for sensor timing and motion effects, such as time synchronisation, LiDAR sweep distortion, rolling-shutter cameras and motion compensation. Strong software-engineering skills in C++ and/or Python, with experience taking robotics algorithms from prototype through evaluation and production deployment. Experience defining evaluation methodologies, datasets and metrics for assessing calibration, registration and 3D sensing quality across real-world conditions. Demonstrated technical leadership, including setting technical direction, solving ambiguous cross-functional problems and mentoring other engineers. Desirable Experience with LiDAR odometry, SLAM or mapping systems, including LiDAR motion compensation and deskewing. Experience with metric-depth foundation models and their application to calibration, registration or 3D reconstruction. Familiarity with learned feature correspondences, cross-modal registration, Gaussian splatting or other emerging 3D representations. Experience handling dynamic scenes using object detection, motion segmentation or tracking methods. Practical experience with optimisation libraries such as GTSAM, Ceres Solver or g2o. This is a full-time role based in our office in London, UK or Sunnyvale, US. 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. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. 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. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to Work 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.

Wayve, based in London, seeks a Staff Robotics Engineer, Localisation to architect and productionise onboard localisation. You will design state-estimation systems fusing GNSS, IMU and wheel odometry to deliver accurate vehicle poses across environments and conditions, guiding roadmaps and mentoring engineers. This senior role combines algorithm development, validation, and deployment on real-time platforms, with collaboration across robotics, calibration, controls, and embedded software teams.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role Wayve is seeking a Staff Robotics Engineer, Localisation to lead the technical development of our onboard localisation capability. You will design and productionise state-estimation systems that combine GNSS, IMU and wheel odometry to provide accurate, reliable vehicle motion and pose estimates across diverse vehicles, environments and operating conditions. This is a senior individual-contributor role with responsibility for shaping the localisation architecture and technical roadmap, while remaining deeply involved in algorithm development, implementation, validation and onboard deployment. You will work across robotics, calibration, controls, sensor, vehicle-platform and embedded-software teams to ensure localisation is robust, observable and suitable for real-time production use. You will also provide technical leadership and mentorship to engineers working across localisation and the broader state-estimation stack. Key responsibilities: Define and evolve the technical architecture and roadmap for Wayve's onboard localisation capability, aligned with vehicle programmes and product requirements. Lead the development of robust state-estimation systems that fuse GNSS, IMU and wheel-odometry signals, with scope to incorporate camera-, RADAR- and LiDAR-based measurements. Take localisation solutions from algorithm design and prototyping through production implementation and deployment on real-time vehicle platforms, including robust fault handling and degraded-mode behaviour. Develop rigorous validation and benchmarking capabilities, including representative datasets, ground-truth comparisons, performance metrics and regression testing across diverse vehicles, environments and operating conditions. Provide hands on technical leadership and mentorship, working across robotics, calibration, controls, sensors and vehicle-platform teams to drive integration and resolve complex system-level issues. About you In order to set you up for success as a Staff Robotics Engineer, Localisation at Wayve, we're looking for the following skills and experience. Essential Deep practical expertise in localisation, state estimation or sensor fusion, with experience combining GNSS, IMU and wheel-odometry measurements. Strong understanding of filtering-based estimation methods, including Kalman-family filters such as the EKF or UKF, and nonlinear optimisation approaches such as factor graphs. Experience developing and operating localisation or state-estimation systems in production robotics, autonomous vehicles or comparable real-time systems. Strong modern C++ software-engineering skills and proficiency in Python for prototyping, analysis, validation and test tooling. Experience designing rigorous localisation validation and benchmarking, including accuracy metrics, uncertainty evaluation, ground-truth comparison, regression testing and failure analysis. Evidence of hands on technical leadership, including defining architecture, influencing technical roadmaps, mentoring engineers and collaborating effectively across multiple teams. Desirable Experience incorporating camera-, LiDAR- or RADAR-based measurements into localisation and sensor-fusion systems, including visual, LiDAR or RADAR odometry. Hands on experience with nonlinear optimisation and robotics libraries such as GTSAM, Ceres or g2o. Familiarity with automotive software development practices and coding standards, including MISRA C++. Experience deploying state-estimation software on embedded or resource constrained platforms with real time compute, memory and latency requirements. Experience developing high-quality ground truth, benchmarks and validation evidence for localisation or other state-estimation systems. Familiarity with relevant robotics tooling and libraries such as ROS, Eigen, OpenCV, PCL or CUDA. MS or PhD in Robotics, Computer Science, Electrical Engineering or a related field, or equivalent practical experience. This is a full time role based in our office in London, UK. 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. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. 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. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to Work 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.