Principal Software Engineer, Perception Architect

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). Deep understanding of sensor modalities and their impact to perception/autonomy systems, including: Camera, lidar, radar.

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 .