Wayve · Mobility
Principal Validation Tech Lead / Manager, L4 Driverless Autonomy
- Sunnyvale (Hybrid)
- Full-time
- $276,100 - $311,400 / year
Still open on Wayve's site · checked just now
- Level
- Lead or manager
- Posted
- Visa & relocation
- Wayve offers visa sponsorship for this job
- Wayve offers relocation support for this job
See all jobs with visa or relocation supportIn the job ad:
“✈️ Relocation support and visa sponsorship where applicable”
What you'll do
As written by Wayve · Read the original
🧠 Your day-to-day
Lead validation strategy for advanced driver-assistance and autonomous-driving functions across multiple test modalities.
Translate product and safety requirements into measurable coverage, acceptance criteria, and validation plans.
Work hands-on with Python-based evaluation tools, metrics, simulation results, and large datasets.
Analyse validation outcomes and communicate clear evidence to Product, Safety, Release, and Autonomy Engineering stakeholders.
Coordinate dependencies across data, simulation, evaluation, and engineering teams so validation can run reliably at scale.
Provide technical leadership and raise the quality bar for systems validation in ambiguous, fast-moving programmes.
🧩 What you’ll be working on
Comprehensive verification strategies for ADAS and autonomy functions within the Wayve AI Driver.
Test suites spanning simulated scenarios and physical vehicle testing.
Behaviour metrics and evidence that connect system requirements to real driving performance.
Scalable, automated validation workflows that support multiple products and customer deployments.
Validation approaches for learned and adaptive behaviours as end-to-end AI systems evolve.
Requirements
🙌 You should apply if
You have significant experience validating complex automotive, autonomous-driving, robotics, aerospace, or similarly safety-relevant systems.
You have led validation concepts from initial ambiguity through implementation, execution, and reporting.
You can use Python to implement metrics and work within evaluation codebases; SQL experience is valuable.
You understand simulated and physical testing and can make evidence-based decisions from imperfect data.
You communicate crisply, document decisions well, and can align technical stakeholders across disciplines.
Experience with ML, computer vision, motion planning, data science, SOTIF, safety validation, or agentic AI workflows is beneficial.
🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.
Skills
Stack
- Python
- SQL
Working languages
English
Company
Last checked . The details above were extracted automatically; the employer's original posting is the authority.