Wayve

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Engineering Teams The Application SW team sits within Application Engineering in Product & Delivery. We build the application-layer software that connects Wayve’s AI capabilities to real vehicle behaviour, working at the intersection of AI, ADAS and real vehicle systems. You’ll have the chance to help shape a new feature engineering capability in Japan. 🧠 Your day-to-day As an ADAS Feature Engineer, you’ll develop C++ feature logic, validation tools and system behaviours that let AI-native driving technology operate robustly in real vehicles. You’ll work with ML, product, systems and vehicle teams to turn model outputs and vehicle data into reliable, testable and customer-relevant ADAS features. It’s a hands-on role close to the car: you’ll debug and tune features using logs, simulation, replay and vehicle testing, and validate ADAS and active safety behaviours in practical driving scenarios. 🧩 What you’ll be working on: • Designing, implementing and maintaining C++ application software for ADAS and active-safety-related vehicle features. • Building feature-level logic on top of AI / ML outputs, including validation, feasibility checks, state machines, fallback behaviours and safety-aware decision logic. • Working with ML engineers to understand model outputs, limitations and failure modes, and how these translate into vehicle behaviour. • Using logs, simulation, replay and vehicle testing to debug, tune and validate feature behaviour. • Defining and improving metrics, test cases and validation strategies for ADAS feature performance, robustness and quality. • Collaborating with product, systems, vehicle integration and OEM-facing teams to turn requirements and real-world constraints into engineering solutions. • Supporting field testing and iterative development, including investigating vehicle issues, edge cases and performance gaps. • Contributing to software architecture, code quality, tooling and engineering practices for feature development. 🙌 You should apply if: Essential • Strong C++ software engineering experience, ideally in production or safety-relevant systems. • Hands-on experience in ADAS, autonomous driving, robotics, vehicle software, active safety or closely related domains. • A practical understanding of vehicle feature development, including real-world testing, simulation, replay, logs or prototype vehicle debugging. • The ability to reason about vehicle behaviour, sensor and model inputs, timing, failure modes and feature-level decision logic. • Experience working cross-functionally with teams such as ML, perception, planning, controls, vehicle integration, product or systems engineering. • Strong problem-solving skills and the ability to make pragmatic engineering trade-offs under ambiguity. • A quality mindset, with experience writing testable, maintainable software and using data to validate behaviour. Desirable • Experience with ADAS features such as AEB, ISA, AES, ACC, lane keeping, collision avoidance, trajectory validation or active safety systems. • Experience at an automotive OEM, Tier 1 supplier, autonomous driving company, robotics company or vehicle technology startup. • Familiarity with ML or AI-based autonomy systems, including how model outputs are consumed by downstream software. • Experience with ROS, Linux, Bazel, CMake, Docker, QNX, protobuf, MCAP, CAN, calibration or vehicle logging systems. • Experience with vehicle test tracks, public-road testing, HIL/SIL, scenario-based testing or NCAP-style validation. • Familiarity with tools used in automotive development and testing, such as CANoe, Vector tools, MicroAutoBox or similar. • Japanese language skills (beneficial but not required). 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.   More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: • Initial call / recruiter screen (30 mins) • Competency Interviews (C++ programming; 1 hours total) • Deep-dive technical interviews (ADAS / AD domain knowledge, system design and, for more senior level, technical leadership; 2-3 hours total) • Final interview: mission & values alignment (1 hour). We’ll always explain the format and work around your availability.   What’s in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. 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 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.

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Product Teams You’ll join a growing, new product team building a new business vertical for Wayve and our first consumer program. The product is built on top of Wayve’s end-to-end AI model, so you’ll work on applied AI, and you’ll see and feel what you ship by taking part in the ridehail service yourself. 🧠 Your day-to-day As a Technical Product Manager for Robotaxi, you’ll own the product from zero to one on our roadmap for L4, in Japan. It’s a full-stack role that combines technical, business and partnership work, spanning the rider’s experience through AI driving, software, hardware, operations, policy and partner integrations. You’ll be the voice of the Japanese rider inside Wayve, working closely with partners such as Uber and Nissan, and you’ll stay immersed in data and metrics day to day. You’ll work across Engineering, HMI, AI, Systems, Operations and external teams, and wear multiple hats. 🧩 What you’ll be working on: • Defining strategy, roadmaps and product requirements with riders in mind, and owning the Japan Robotaxi roadmap. • Leading cross-functional working groups across Engineering, HMI, AI, Systems and Operations to deliver core launches in 2026. • Serving as the voice of the customer, gathering and prioritising rider and partner feedback, as well as being a technical system designer. • Working with AI, software, hardware, policy, operations and partner teams to resolve bugs and ship features. • Establishing launch readiness: integration with partners, coverage of customer use cases, AI driver performance, top issues and launch risks. • Staying immersed in data and metrics, using them day to day to steer product decisions. • Working closely with partners including Uber and Nissan while staying accountable for Robotaxi product performance in Japan. • Operating independently from day one, identifying gaps and doing whatever is needed rather than owning one narrow feature. 🙌 You should apply if: Essential: • Proven track record of technical product management experience, shipping products with a consumer mindset in a very technical domain. • Strong written and verbal communication skills with demonstrated ability to work in cross-functional teams • Strong technical background in AI/ML, software engineering, robotics, or a related discipline. • Comfortable working in fast-paced, iterative environments with evolving priorities. • Full Fluency in Japanese and English • Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field. Desirable: • Experience owning end-to-end delivery of AV features, including collaboration with engineering, systems, safety, and validation teams. • Understanding of human-machine interaction (HMI), UX, or the broader robotaxi product • Knowledge of generative AI techniques, LLMs, or Software 2.0 methods as applied to autonomous driving or large-scale simulation. • Analytical, data driven 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.   More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: • Initial call / recruiter screen (30 mins) • Competency Interviews (Hiring Manager Meet; 30 min total) • Deep-dive technical interviews (Product sense, Analytics / data / metrics, tech depth / system design and ridehail business alignment; 4 hours total) • Final interview: mission & values alignment (1 hour). We’ll always explain the format and work around your availability.   What’s in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination. The Company has zero tolerance for sexual harassment against job applicants or similar individuals.   - All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.   - Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.   - Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.   If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality; your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry. A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. 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 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.

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Engineering Teams The Machine Learning team within Application Software, part of Product & Delivery, works on critical initiatives that push the frontier of model-based autonomous driving. That covers core driving performance as well as feature-level intelligence such as personalisation, comfort and collaboration. 🧠 Your day-to-day As a Data Engineer, you’ll design and deliver scalable data pipelines that turn vast amounts of data from diverse internal and external sources into structured, reliable and model-ready datasets. Your work spans data ingestion, data quality assurance, transformation, curation, evaluation and ML support. You’ll work closely with Wayve’s Data Corpus teams, customer programmes and ML engineers, bringing up ingestion pipelines for new vehicle platforms and sensor configurations, and tackling the highest-impact bottlenecks first. 🧩 What you’ll be working on: • Building and improving scalable data pipelines that support model development, evaluation and production ML workflows for autonomous driving. • Ingesting, transforming and curating large-scale real-world, synthetic and partner-provided datasets into structured, reliable, model-ready formats aligned with standardised taxonomies and coordinate systems. • Developing data quality checks, validation processes and monitoring so that raw vehicle data and processed datasets are high-quality, complete, consistent, traceable and fit for ML use cases. • Curating and mining real-world and synthetic data to drive scenario diversity, coverage and feature-specific development. • Improving pipeline performance, reliability and usability, reducing bottlenecks and increasing iteration velocity across ML development. • Collaborating closely with ML engineers, Data Corpus, AI Platform and external partners so data pipelines integrate effectively with production-scale learning systems. 🙌 You should apply if: Essential • Proven experience building and operating scalable data pipelines or distributed data processing systems in production environments. • Strong software engineering skills in Python, with a solid foundation in maintainable, reliable, and well-tested software development practices. • Proficient in SQL and PySpark, with experience using warehouse/OLAP concepts, window functions, and Spark for distributed data processing. • Experience with modern data pipeline architectures, including workflow orchestration and DAG-based systems such as Airflow, Flyte, Ray, or similar. • Solid understanding of robotics and automated driving data concepts, including sensor characteristics, timestamping and clock synchronisation, coordinate transformations, calibration, and ego-motion signals such as GNSS/IMU and vehicle odometry. • Understanding of machine learning development workflows, including training data generation, evaluation datasets, scenario mining, and model iteration. • Excellent communication and collaborative skills, capable of working effectively with interdisciplinary teams. Desirable • Prior work in calibration, perception, imitation learning, or trajectory prediction. • Experience with third-party dataset ingestion and transformation. • Familiarity with automated driving data and scenario taxonomies, including ODD definitions, manoeuvre and behavior labels, scene classification, event tagging, semantic understanding. 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.   More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: • Initial call / recruiter screen (30 mins) • Competency Interviews (System design and data engineering; 2 hours total) • Deep-dive technical interviews (Python coding and a technical domain interview; 2 hours total) • Final interview: mission & values alignment (1 hour). We’ll always explain the format and work around your availability.   What’s in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination. The Company has zero tolerance for sexual harassment against job applicants or similar individuals.   - All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.   - Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.   - Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.   If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry. A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. 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 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.

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Engineering Teams The Application SW team sits within Application Engineering in Product & Delivery. We bridge AI innovation and production vehicles, defining and executing the strategy for integrating Wayve’s autonomy stack into multiple OEM platforms, and working directly with automotive customers, including major Japanese OEMs. 🧠 Your day-to-day As an Application SW Engineer, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring it performs reliably across diverse SoCs and operating systems. You’ll work closely with Verification, Release and OEM partner teams to make integration smooth and delivery dependable. Your time will be split across platform bring-up and integration, customer and partner engagement, and technical leadership, including helping to build the team. 🧩 What you’ll be working on: • Executing software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride). • Porting and configuring Linux-based systems, QNX and Adaptive AUTOSAR environments. • Integrating and validating drivers, middleware and boot-time configurations. • Working with Verification and Release teams to integrate hardware into CI/CD, HIL and test infrastructure. • Working with OEM and Tier 1 teams to resolve hardware-specific integration issues. • Implementing system-level diagnostics, logging and secure boot configuration. • Developing automation for setup, flashing, health checks and test execution on target hardware. • Defining and executing the strategy for integrating our autonomy stack into multiple OEM platforms. • Building the team and providing technical leadership across integration work. 🙌 You should apply if: Essential • 5+ 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. 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.   More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: • Initial call / recruiter screen (30 mins) • Competency Interviews (Programming ; 1 hours total) • Deep-dive technical interviews (systems integration and debugging, Performance System/low-level Linux, system design , depending on level; 3 hours total) • Final interview: mission & values alignment (1 hour). We’ll always explain the format and work around your availability.   What’s in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination. The Company has zero tolerance for sexual harassment against job applicants or similar individuals.   - All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.   - Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.   - Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.   If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry. A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. 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 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.

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Engineering Teams The Application SW team sits within Application Engineering in Product & Delivery. We bridge AI innovation and production vehicles, defining and executing the strategy for integrating Wayve’s autonomy stack into multiple OEM platforms, and working directly with automotive customers, including major Japanese OEMs.   🧠 Your day-to-day As an Application SW Engineer, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring it performs reliably across diverse SoCs and operating systems. You’ll work closely with Verification, Release and OEM partner teams to make integration smooth and delivery dependable. Your time will be split across platform bring-up and integration, customer and partner engagement, and technical leadership, including helping to build the team.   🧩 What you’ll be working on: • Executing software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride). • Porting and configuring Linux-based systems, QNX and Adaptive AUTOSAR environments. • Integrating and validating drivers, middleware and boot-time configurations. • Working with Verification and Release teams to integrate hardware into CI/CD, HIL and test infrastructure. • Working with OEM and Tier 1 teams to resolve hardware-specific integration issues. • Implementing system-level diagnostics, logging and secure boot configuration. • Developing automation for setup, flashing, health checks and test execution on target hardware. • Defining and executing the strategy for integrating our autonomy stack into multiple OEM platforms. • Building the team and providing technical leadership across integration work.   🙌 You should apply if: 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. 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.   More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.   How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.   🔍 The Interview Process: Our process is clear and respectful of your time: • Initial call / recruiter screen (30 mins) • Competency Interviews (Programming ; 1 hours total) • Deep-dive technical interviews ( Performance System/low-level Linux, system design and technical leadership, depending on level; 3 hours total) • Final interview: mission & values alignment (1 hour). We’ll always explain the format and work around your availability.   What’s in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination. The Company has zero tolerance for sexual harassment against job applicants or similar individuals.   - All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.   - Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.   - Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.   If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry. A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. 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 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.

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Engineering Teams The Application Engineering (App SW) team sits within Product & Delivery and works on critical initiatives that push the frontier of model-based autonomous driving. That covers core driving performance as well as feature-level intelligence such as personalisation, comfort and collaboration. 🧠 Your day-to-day As an ML Engineer, you’ll design and deliver ML-driven behaviours that scale from assisted to autonomous driving. Your work spans model architecture, data pipelines, evaluation frameworks and real-world deployment. You’ll work closely with the 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: • Developing and improving end-to-end driving models with state-of-the-art performance, robustness and generalisation. • Driving projects on personalised and collaborative driving, including behaviour conditioning, comfort tuning and user alignment. • Building evaluation pipelines and metrics for closed-loop and open-loop driving performance and product readiness. • Curating and mining real-world and synthetic data to drive scenario diversity, coverage and feature-specific development. • Influencing architecture choices, training methodologies and deployment pathways for production-scale learning systems. • Collaborating across teams to keep integration smooth and iteration fast. • Mentoring engineers and helping shape the long-term technical direction across Autonomy. 🙌 You should apply if: 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. 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.   More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: • Initial call / recruiter screen (30 mins) • Competency Interviews (Python programming, PyTorch debugging ; 2 hours total) • Deep-dive technical interviews (system design; 1 hours total) • Final interview: Values alignment & Applied ML (1 hour). We’ll always explain the format and work around your availability.   What’s in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination. The Company has zero tolerance for sexual harassment against job applicants or similar individuals.   - All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.   - Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.   - Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.   If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry. A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. 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 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.