Principal Software Engineer, Perception Architect

Responsibilities

• Define the end-to-end perception architecture, assessing new sensing (LiDAR, Radar, Camera) to the final fused world model.
• Partner with Compute and Sensing teams for Hardware-Software Co-Design to ensure algorithms have necessary computational resources.
• Lead transition from current pipelines to AI innovation pipelines while maintaining safety and interpretability for edge deployment.
• Evaluate emerging technologies for 3-5 year roadmap viability.
• Collaborate on metrics for latency and accuracy across edge-computing environments.
• Lead cross-functional teams to plan migration to new platforms and align with organizational direction.

Qualifications

• Education: Ph.D. or MS in Computer Science, Robotics, Electrical Engineering, or related field with focus on Computer Vision.
• Experience: 8+ years in autonomous systems, including at least 2 years in an architectural role shipping and evolving perception systems.
• Domain Expertise: Mastery of Computer Vision, Deep Learning, Foundational Models, Sensor Fusion, State Estimation (SLAM, EKF/UKF); deep understanding of sensor modalities (Camera, LiDAR, Radar).
• Platform Proficiency: Deep understanding of hardware acceleration, component budgeting, and platform transitions.
• Mathematical Rigor: Strong foundation in 3D geometry, linear algebra, probabilistic robotics.
• Hands-on Skills: Proficiency in C++ (production-grade) and Python (prototyping); ability to run experiments and metrics.