Robotics Generalist

Wayve • Sunnyvale, CA

1d • Hybrid

About The Position

Wayve is building the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. The Vehicle Generalization team enables efficient, scalable, and predictable deployment of the Wayve autonomous-driving stack across different vehicle platforms. The team tackles the practical controls, localization, odometry, integration, and debugging challenges that determine whether autonomous systems work reliably in the real world.

Requirements

• Highly proficient in C++ and comfortable using Python for analysis and prototyping.
• 3+ years of hands-on robotics, autonomy, or automotive experience.
• Practical experience in controls, state estimation, localization, odometry, or sensor fusion.
• Ability to diagnose complex integration issues using data, systems thinking, and direct platform interaction.
• Ability to operate independently in ambiguity and communicate effectively across technical teams.
• Willingness to work hands-on in Sunnyvale and travel domestically or internationally for customer and vehicle support.

Nice To Haves

• Passionate about autonomy and keen to learn.

Responsibilities

• Debug and stabilise new autonomous-vehicle platforms during bring-up and deployment.
• Analyse telemetry, sensor data, logs, and vehicle behaviour to identify root causes.
• Tune controls, localization, odometry, sensor fusion, and state-estimation systems.
• Build metrics and tooling to understand vehicle-to-vehicle variability and generalisation.
• Prototype fixes and debugging utilities in C++ and Python.
• Collaborate with controls, vehicle dynamics, measurement, integration, and application-engineering teams.
• Support customer programmes through hands-on work at vehicle and customer sites.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity
• Relocation support and visa sponsorship where applicable
• Hybrid working and extensive hands-on vehicle work
• Learning and development support
• Comprehensive location-dependent health, family, retirement, and wellbeing benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed