Wayve
ADASFeatureEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“ADAS Feature Engineer at Wayve. Skills: ADAS Feature Engineering, C++ Development, AI/ML Integration, Vehicle Systems. Design C++ application software. Implement C++ application software”
Industry & Context.
Problem-solving skills; Root cause analysis
What They're Looking For.
Must Have
C++ software engineering experience, production or safety-relevant systems experience, ADAS, autonomous driving, robotics, vehicle software, active safety experience, vehicle feature development experience, real-world testing, simulation, replay, logs, or prototype vehicle debugging experience, reason about vehicle behaviour, sensor/model inputs, timing, failure modes, and feature-level decision logic, cross-functional team experience, problem-solving skills, pragmatic engineering trade-offs under ambiguity, quality mindset, writing testable, maintainable software, using data to validate behaviour
Nice to Have
Experience with ADAS features, 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, Japanese language skills
What You'll Do.
Design C++ application software
Implement C++ application software
Maintain C++ application software
Build feature-level logic
Understand model outputs
Understand model limitations
Understand model failure modes
Use logs to debug feature behaviour
Use simulation to debug feature behaviour
Use replay to debug feature behaviour
Use vehicle testing to debug feature behaviour
Tune feature behaviour
Validate feature behaviour
Define metrics for ADAS feature performance
Define test cases for ADAS feature performance
Define validation strategies for ADAS feature performance
Improve metrics for ADAS feature performance
Improve test cases for ADAS feature performance
Improve validation strategies for ADAS feature performance
Collaborate with product teams
Collaborate with systems teams
Collaborate with vehicle integration teams
Collaborate with OEM-facing teams
Translate requirements into engineering solutions
Translate real-world constraints into engineering solutions
Support field testing
Support iterative development
Investigate vehicle issues
Investigate edge cases
Investigate performance gaps
Contribute to software architecture
Contribute to code quality
Contribute to tooling
Contribute to engineering practices
How You'll Work.
Team & Collaboration
Machine learning teams; Product teams; Vehicle integration teams; Systems teams; OEM-facing teams
Full Job Description
About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The Role We are looking for an ADAS Feature Engineer to help build the application-layer software that connects Wayve’s AI capabilities to real vehicle behaviour. This role sits at the intersection of AI, vehicle systems, active safety, and product delivery: 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. You will work closely with machine learning, product, vehicle integration, and systems teams to turn model outputs and vehicle data into reliable, testable, and customer-relevant ADAS features. Key responsibilities 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, failure modes, and how
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