Principal Software Engineer, Perception Architect

Job description

Job responsibilities

• System Synthesis: Define the end-to-end perception architecture—assess new sensing (LiDAR, Radar, Camera) to the final fused world model.
• Hardware-Software Co-Design: Partner with Compute and Sensing teams to influence the design, ensuring our algorithms have the "computational oxygen" they need.
• Algorithmic Strategy: Lead the transition from current pipelines to AI innovation pipelines, while maintaining the safety and interpretability required for edge deployment.
• Future-Proofing: Evaluate emerging technologies and determine their viability for the 3-5 year roadmap.
• Performance Budgeting: Collaborate on rigorous metrics for latency and accuracy across diverse edge-computing environments.
• Lead cross functional teams: to create a viable plan to move to new platforms and unlock further technical capabilities for Perception systems.

Job requirements

• Education: Ph.D. or MS in Computer Science, Robotics, Electrical Engineering, or a related field with a focus on Computer Vision .
• Experience: 8+ years in autonomous systems with at least 2 years in an architectural role , shipping and evolving perception systems
• Deep Domain Expertise: Mastery of systems focused on Computer Vision, Deep learning, Foundational models, Sensor Fusion, and State Estimation (SLAM, EKF/UKF).
• Platform Proficiency: Deep understanding of hardware acceleration, component budgeting and transition to new platforms.
• Mathematical Rigor: Strong foundation in 3D geometry, linear algebra, and probabilistic robotics.
• Hands on Skills: Proficiency in C++ (production-grade) and Python (rapid prototyping). Ability to run experiments across system components and run metrics platforms.
• Soft Skills: Curious, Data driven, with ability to translate complex technical trade-offs to non-technical stakeholders and executive leadership .