1 day ago
Tokyo, JapanMid Level
Responsibilities
- Design, implement, and maintain C++ application software for ADAS and active-safety vehicle features.
- Build feature-level logic on AI and ML outputs, including validation checks, state machines, fallback behaviours, and safety-aware decision logic.
- Work with ML engineers to understand model outputs, limitations, failure modes, and their effect on vehicle behaviour.
- Use logs, simulation, replay, and vehicle testing to debug, tune, and validate feature behaviour.
- Define metrics, test cases, and validation strategies for ADAS performance, robustness, and quality.
- Collaborate with product, systems, vehicle integration, and OEM-facing teams to translate requirements and real-world constraints into engineering solutions.
- Support field testing and investigate vehicle issues, edge cases, and performance gaps.
- Contribute to software architecture, code quality, tooling, and engineering practices.
Requirements
- 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 a closely related domain.
- Practical understanding of vehicle feature development, real-world testing, simulation, replay, logs, or prototype vehicle debugging.
- Ability to reason about vehicle behaviour, sensor and model inputs, timing, failure modes, and feature-level decision logic.
- Experience working cross-functionally with ML, perception, planning, controls, vehicle integration, product, or systems engineering teams.
- Strong problem-solving skills and ability to make pragmatic engineering trade-offs under ambiguity.
- 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 is desirable.
- Experience at an automotive OEM, Tier 1 supplier, autonomous-driving company, robotics company, or vehicle-technology startup is desirable.
- Familiarity with ML or AI-based autonomy systems is desirable.
- Experience with ROS, Linux, Bazel, CMake, Docker, QNX, protobuf, MCAP, CAN, calibration, or vehicle logging systems is desirable.
- Experience with vehicle test tracks, public-road testing, HIL/SIL, scenario-based testing, or NCAP-style validation is desirable.
- Familiarity with CANoe, Vector tools, MicroAutoBox, or similar automotive development and testing tools is desirable.
- Japanese language skills are beneficial but not required.
Benefits
- Competitive compensation and benefits.
- Opportunities for on-the-job learning and formal learning support.
- Inclusive, respectful, ego-free workplace culture with shared lunches.
- Onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, onsite bars, and social budgets.
- Full-time role based in Wayve’s Tokyo office.
- Hybrid working combining office and workshop time with working from home, with team-defined routines and core working hours.
