Software Engineer, Data Enrichment

Highlights

• Build the platform that powers embodied intelligence for real self-driving vehicles.
• Process petabytes of driving data to evaluate and continuously improve ML models.
• Create self-service dataset catalogues with clear provenance, lineage and versioning.

What they offer

• Salaries benchmarked against the market annually
• Meaningful equity sharing in long-term success
• Learning and development budgets for training and conferences
• Comprehensive health, dental, parental leave, pension and wellbeing benefits

Ideal candidate

A product-minded backend engineer who loves owning reliable platforms at scale and digging into complex operational problems. You collaborate well across teams and care about enabling robotics and vision progress through great tooling.

Requirements

• Strong production software engineering experience in Python building maintainable, tested backend services, APIs or data systems
• Experience designing, building or operating distributed systems for data-intensive or compute-intensive workloads
• Track record delivering reliable software from design through deployment and production operation
• Solid system-design fundamentals and sound technical trade-offs in complex platforms
• Comfortable investigating unfamiliar systems and diagnosing reliability or performance issues
• Clear communicator who collaborates across teams and owns production components
• Hands-on experience with robotics, autonomous-vehicle or computer-vision datasets including sensor data and annotations
• Practical understanding of 3D geometry including coordinate frames, transformations, calibration and projection
• Experience validating sensor data or model outputs including spatial or temporal misalignment checks