Lead Perception Engineer for Home Robotics

MATIC; Menlo Park (CA); On-site; USD 160,000 - 240,000; Full time

Job summary

Matic is seeking a Senior Research Engineer to lead cutting-edge perception research for autonomous home robotics. You will shape the perception stack and mentor a growing team of engineers, with a focus on real-world deployment and progressing toward Level 5 autonomy.

The role emphasizes solving hard perception problems, designing novel architectures for edge devices, and collaborating with Hardware, Electrical, and Systems teams to realize ambitious product visions.

Qualifications

• Advanced expertise in computer vision and machine learning with 3D perception specialization.
• Proven track record shipping production-grade research with real-world impact.
• Expert-level Rust (or C++) and Python, with PyTorch experience.
• Ability to architect scalable, maintainable codebases and establish engineering best practices.
• Experience leading technical projects and mentoring teams.
• Strong publication record or evidence of technical leadership.
• Master's degree or higher in a related field; graduate work a plus.
• 4+ years of applied experience in CV, ML, or robotics.

Responsibilities

• Lead research initiatives to solve perception problems in unstructured home environments.
• Architect and develop state-of-the-art computer vision algorithms for edge deployment.
• Design neural networks optimized for edge devices and real-time performance.
• Develop 3D geometry-based vision systems for precise spatial understanding.
• Build scalable ML infrastructure for large-scale training with reproducibility.
• Improve algorithm accuracy, speed, and robustness through analysis.

Skills

Computer vision

Machine learning

3D perception

Rust

Python

PyTorch

Leadership

Education

Master's degree in CS/engineering/EE/physics

Tools

PyTorch

Job description

Matic is seeking a Senior Research Engineer to lead cutting-edge perception research for autonomous home robotics. You will shape the perception stack and mentor a growing team of engineers, with a focus on real-world deployment and progressing toward Level 5 autonomy.

The role emphasizes solving hard perception problems, designing novel architectures for edge devices, and collaborating with Hardware, Electrical, and Systems teams to realize ambitious product visions.