ADAS Feature Engineer, Application Software

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. 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 t