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Software Engineer – Physical AI Platform Integration

Lyte · Sunnyvale, CA

Roboticsonsitemid-level$170k–$250k
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At a glance

Highlights

  • Own sensor-to-stack integration delivering live perception on real robots.
  • Build calibration and end-of-line test tooling used in manufacturing.
  • Turn early prototypes into reusable components robotics teams depend on.

What they offer

  • Competitive salary and equity
  • Comprehensive medical, dental, and vision coverage
  • 401(k) retirement plan
  • Flexible vacation and time-off policy

Ideal candidate

Hands-on systems builder with 3+ years shipping hardware-interfacing software who thrives owning end-to-end integration, supporting users in the field, and turning prototypes into dependable releases.

Requirements

  • Bachelor's degree in Computer Science, Electrical Engineering, Robotics or related field or equivalent practical experience
  • 3+ years of professional software engineering experience on systems interfacing with real sensors or hardware
  • Expert-level modern C++ (C++17 or newer) and Python including CMake-based builds and Python packaging
  • Hands-on experience with ROS 2 and Linux systems programming including networking and multi-threaded real-time data paths
  • Working knowledge of CUDA or other GPU compute framework and deploying on NVIDIA Jetson or similar embedded GPU platforms
  • Proven ability to build and maintain Docker-based development environments and CI/CD pipelines in GitLab CI and Jenkins
  • Track record of taking prototypes to maintained, tested, documented components

Lab profile

About Lyte

Building perception infrastructure for robotics and Physical AI with custom silicon, sensors, and software.

What they build

  • Perception systems for robotics, mobility and automation
  • Electro-optical sensing modules
  • Robotic hardware platforms

Known for

  • Robot perception, state estimation and planning
  • Learning-based behaviors and autonomy stacks
  • Signal-processing algorithms for FPGA, GPU and silicon
  • Mixed-signal ASICs, photonics and DSP hardware
More about Lyte →
Apply on the lab’s site ↗

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