ADAS Feature Engineer
Wayve, a leading developer of Embodied AI technology for autonomous vehicles, is seeking an ADAS Feature Engineer to join their team in Leonberg, Germany. Founded in 2017, Wayve specializes in advanced AI software that enables vehicles to perceive, understand, and navigate complex environments, enhancing the safety and usability of automated driving systems. The company is committed to creating autonomy that propels the world forward, offering intelligent, mapless, and hardware-agnostic AI products designed for automakers.
As an ADAS Feature Engineer, you will be responsible for developing C++ application software for Advanced Driver Assistance Systems (ADAS) and active safety-related vehicle features. Your role will involve building feature-level logic on top of AI and machine learning outputs, including validation, feasibility checks, state machines, fallback behaviors, and safety-aware decision logic. You will collaborate closely with machine learning engineers to understand model outputs, limitations, and failure modes, translating these into vehicle behavior. Additionally, you will utilize logs, simulation, replay, and vehicle testing to debug, tune, and validate feature behavior, and define metrics, test cases, and validation strategies for ADAS feature performance, robustness, and quality.
The ideal candidate will have strong C++ software engineering experience, particularly in production or safety-relevant systems. Hands-on experience in ADAS, autonomous driving, robotics, vehicle software, or active safety systems is essential. A practical understanding of vehicle feature development, including real-world testing, simulation, replay, logs, or prototype vehicle debugging, is required. The ability to reason about vehicle behavior, sensor/model inputs, timing, failure modes, and feature-level decision logic is crucial. Experience working cross-functionally with teams such as machine learning, perception, planning, controls, vehicle integration, product, or systems engineering is necessary. Strong problem-solving skills and the ability to make pragmatic engineering trade-offs under ambiguity are important. A quality mindset, with experience writing testable, maintainable software and using data to validate behavior, is also required.
This is a full-time role based in Wayve's office in Leonberg, Germany. The company operates a hybrid working policy that combines time together in offices and workshops to fuel innovation, culture, relationships, and learning, with time spent working from home. Core working hours are in place, allowing flexibility in scheduling. Wayve offers a dynamic and inclusive work environment, valuing diversity and fostering an inclusive culture where contributions matter. The company is committed to creating a smarter, safer future through groundbreaking solutions in autonomous driving technology.