Wayve

ADASFeatureEngineer

$8500–13000k ~AI est. Tokyo, Tokyo, Japan Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Problems you'll solve

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

Free ATS check

Applying for this ADAS Feature Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

ANONYMOUS · UNFILTERED

What do employees actually say about Wayve?

Real rants from real employees. Read before you apply.

Read Company Rants →