Lead AI Validation Architect – Autonomous Driving

Wayve; Sunnyvale (CA); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Equity participation

Relocation support

Hybrid working model

Learning & development support

Health coverage & benefits

Job summary

Wayve is seeking a senior validator to design and drive validation for advanced driver-assistance and autonomous driving features. You will translate requirements into measurable coverage, implement metrics in Python, and coordinate across data, simulation, and engineering teams to ensure scalable, evidence-based validation.

You will work with colleagues across Product, Safety, and Autonomy teams, applying ML and CV concepts to assess performance in simulation and real-world testing, while

Qualifications

• Extensive experience validating automotive or safety-critical systems.
• Led validation concepts from ambiguity through implementation and reporting.
• Proficient in Python to implement metrics and work with evaluation codebases; SQL experience valuable.

Responsibilities

• Define and lead validation strategy for ADAS and autonomy features across test modalities.
• Translate product and safety requirements into measurable coverage and acceptance criteria.
• Hands-on work with Python-based evaluation tools, metrics, simulation results, and large datasets.
• Analyze validation outcomes and communicate evidence to Product, Safety, Release, and Engineering stakeholders.
• Coordinate dependencies across data, simulation, evaluation, and engineering teams for scalable validation.
• Provide technical leadership and raise the quality bar for systems validation in fast-moving programs.

Skills

Lead validation strategy

Python

SQL

Data analysis

Stakeholder comms

Tools

Python tools

Job description

Wayve is seeking a senior validator to design and drive validation for advanced driver-assistance and autonomous driving features. You will translate requirements into measurable coverage, implement metrics in Python, and coordinate across data, simulation, and engineering teams to ensure scalable, evidence-based validation.

You will work with colleagues across Product, Safety, and Autonomy teams, applying ML and CV concepts to assess performance in simulation and real-world testing, while