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About the Role

Drive delivery across platforms and processes that prove the AI Driver is ready for the road, including simulation, evaluation, synthetic data, critical-event pipelines, and behavior validation. Your programs gate real on-road releases, impacting release confidence, signal quality, and developer velocity. You will bring structure to a complex, cross-cutting, safety-critical space in a fast-moving environment, acting as a force multiplier for teams.

Responsibilities

Own end-to-end delivery of cross-team programs spanning simulation, evaluation, and validation.
Compose roadmaps across simulators, datasets, evaluation, and triage; manage dependencies, risks, and trade-offs, and escalate early with clear options.
Connect platform delivery to measurable outcomes like developer velocity, signal quality, cost per evaluation, time-to-insight, and validation credibility.
Partner with Autonomy, Science, Release, Product, and Safety on acceptance criteria and release-gating validation.
Run planning, reviews, and retros, and communicate progress and risk to engineers, partners, and senior leaders.
Improve tooling, processes, and ways of working across the platforms.

Requirements

8+ years leading complex, multi-team programs or a strong record at this level.
Ability to lead high-complexity work across teams and get things done.
Credible with engineers and scientists across simulation, evaluation, ML, and validation.
Ability to reason about how data, simulator fidelity, and metric design propagate into release confidence.
Effective in ambiguous, safety-critical environments; flex style and bring structure without slowing delivery.
Skilled at planning, prioritizing, and managing risk and dependencies across teams.
Ability to influence without authority across Autonomy, Science, Release, Product, and Safety.
Comfortable defining and using metrics like signal quality, coverage, and time-to-insight to steer delivery and decisions.
Open to feedback and always looking to improve.
Ability to reason about how parts of a complex system fit together and how changes ripple into other areas.
Focus on outcomes and the people programs serve, prioritizing by impact and defining what good looks like.
Experience in autonomous vehicles, robotics, or another safety-critical AI/ML program (desirable).
Familiarity with simulation, synthetic data, evaluation harnesses, or ML observability tooling at production scale (desirable).
Working knowledge of SOTIF (ISO 21448), ISO 26262, or other safety standards relevant to validating learned systems (desirable).
An engineering or computer science degree, or experience working as an engineer (desirable).
Excels in Jira (or similar) (desirable).

Skills

Simulation
Evaluation
Validation
Synthetic Data
Critical-event pipelines
Behavior validation
Program Management
Roadmap composition
Risk Management
Dependency Management
Metrics definition and usage
Continuous Improvement
Jira

Location

Sunnyvale, CA

Work Type

Hybrid
Full-time

Experience Level

8+ years leading complex, multi-team programs

Education Level

Engineering or Computer Science degree (desirable)

Salary/Compensations

$214,900 to $274,000

Benefits

Competitive equity package

About the Company

Founded in 2017, Wayve is the leading developer of Embodied AI technology.
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.
Vision is to create autonomy that propels the world forward.
Intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
Fast-paced environment where big problems ignite us; embrace uncertainty and complex challenges to unlock groundbreaking solutions.
Aim high and stay humble in pursuit of excellence, constantly learning and evolving.
Contributions matter; value diversity, embrace new perspectives, and foster an inclusive work environment.
Make Wayve the experience that defines your career!

Equal Opportunity

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve.
For US candidates only, please visit E-Verify Notice and Participation and Right to Work.
We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews.
We do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.