Description
We are seeking an exceptional Feature Engineer to join our Germany-based team within the Application Engineering org, focused on localising and advancing Wayve's autonomous driving technology for the German market.
As an ADAS Feature Engineer, you will help build the application-layer software that connects Wayve's AI capabilities to real vehicle behaviour. You will develop C++ feature logic, validation tools, and system behaviours that allow AI-native driving technology to operate robustly in real-world vehicle environments.
Your day-to-day tasks will include:
- 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, 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 translate requirements and real-world constraints into engineering solutions.
- Supporting field testing and iterative development, including investigation of vehicle issues, edge cases, and performance gaps.
- Contributing to software architecture, code quality, tooling, and engineering practices for feature development.
Essential skills and experience:
- 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.
- Practical understanding of vehicle feature development, including real-world testing, simulation, replay, logs, or prototype vehicle debugging.
- Ability to reason about vehicle behaviour, sensor/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 skills and experience:
- 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.
Benefits:
- 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