Senior Perception Engineer, Edge ML for Home Robotics

Matic Robots Inc.

Menlo Park (CA)

On-site

USD 160,000 - 240,000

Full time

14 days+

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Job summary

Matic Robots Inc. in Menlo Park, CA, seeks a Senior Research Engineer to lead perception research for our autonomous home robotics platform. You will mentor engineers and shape the perception stack while translating cutting-edge research into deployable products.

You’ll design 3D vision systems, develop edge-optimized neural networks, and guide ML infrastructure for scalable training. A strong publication record or leadership in robotics and CV/ML is highly valued.

Qualifications

  • Advanced expertise in computer vision and machine learning with 3D perception, SLAM, and robotics controls.
  • Proven track record shipping production-grade research with real-world impact.
  • Mastery of Rust or C++ and Python; strong ML framework experience (PyTorch).

Responsibilities

  • Lead research initiatives to solve open-ended perception problems for home robotics.
  • Architect and develop state-of-the-art computer vision algorithms for edge deployment.
  • Design neural network architectures optimized for real-time edge performance.
  • Pioneer 3D geometry-based vision systems for precise spatial understanding.
  • Build scalable ML infrastructure to support large-scale training and reproducibility.
  • Mentor junior engineers and collaborate with Hardware/Electrical/Systems teams.

Skills

3D perception
SLAM
Robotics controls
Rust
C++
Python
PyTorch

Education

Master's degree in computer science/engineering/physics

Tools

Rust
C++
Python
PyTorch

Job description

Matic Robots Inc. in Menlo Park, CA, seeks a Senior Research Engineer to lead perception research for our autonomous home robotics platform. You will mentor engineers and shape the perception stack while translating cutting-edge research into deployable products.

You’ll design 3D vision systems, develop edge-optimized neural networks, and guide ML infrastructure for scalable training. A strong publication record or leadership in robotics and CV/ML is highly valued.

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