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
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  • Wayve offers relocation support for this job

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Principal Validation Tech Lead / Manager, L4 Driverless Autonomy

Wayve

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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

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