Jobs in Japan
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
Jobs in Japan
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
WayveThe 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. 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. You’ll design, implement and maintain C++ application software for ADAS and active-safety-related vehicle features; build feature-level logic on top of AI / ML outputs, including validation, feasibility checks, state machines, fallback behaviours and safety-aware decision logic; work with ML engineers to understand model outputs, limitations and failure modes, and how these translate into vehicle behaviour; use logs, simulation, replay and vehicle testing to debug, tune and validate feature behaviour; define and improve metrics, test cases and validation strategies for ADAS feature performance, robustness and quality; collaborate with product, systems, vehicle integration and OEM-facing teams to turn requirements and real-world constraints into engineering solutions; support field testing and iterative development, including investigating vehicle issues, edge cases and performance gaps; and contribute to software architecture, code quality, tooling and engineering practices for feature development.
- 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.
- 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).
- 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.
