Waabi Posted 30+ days ago

Platform Systems Engineer; Sensing and Perception, Maps and Localization

Location

San Francisco

On-site

Contract

Permanent

Full-time

Salary

$148–292k

Gross per year

Experience

3+ years

Mid-level level

Job summary

Responsibilities

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

Drive Technical Execution: Lead the end-to-end systems engineering lifecycle for the Sensing, Perception, Maps, and Localization domains, ensuring timely delivery of robust…
Architect Requirements: Create and refine Autonomous Vehicle (AV) Requirements using analytical and numerical methods, focusing on sensing capabilities, perception performance…
Own the Contract: Own the definition and requirements development of the Sensing, - - - Perception, and Localization contracts, covering sensor performance, calibration, data…
Lead Cross-Functional Integration: Act as the primary technical liaison connecting AI and software engineers, hardware engineers, and safety teams to resolve complex system-level…
Validate via Data: Create methods and use physical and simulated data to inform and verify principled requirements for the entire sensor suite and localization pipeline.

What they're looking for

Experience: 3+ years of industry experience in autonomous vehicles, robotics, or aerospace, with a proven track record of taking complex autonomous systems from R&D to deployment.
Domain Expertise: Strong foundation in AV systems, specifically in sensing (Lidar, Radar, Camera), perception algorithms, sensor fusion, mapping, and localization (e.g.…
Technical Breadth: Deep knowledge of sensor physics, signal processing, data acquisition/management, and dealing with correlated system errors.
Systems Rigor: Expert knowledge of Systems Engineering and Verification & Validation (V&V) best practices, including requirements decomposition from high-level safety goals into…
Safety Standards: Working knowledge of functional safety standards (e.g., ISO 26262) and translating probabilistic safety goals into physical, quantifiable metrics.