rippling
Software Engineer – Physical AI Platform Integration
Lyte AI
Sunnyvale, USA
Full-time
Mid · 3+ years experience
Onsite
USD 170000-250000 yearly / year
Discovered 2 days ago
C++PythonCMakeROS 2LinuxCUDA
Free
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Role Overview
We are looking for a hands-on software engineer to make Lyte's LiDAR and camera perception systems work end to end on real robots and on the compute platforms our customers use. You will own the software path from sensor packets on the wire to calibrated, time-synchronized point clouds and images inside a robotics stack: sensor drivers and SDK, GPU-accelerated processing, calibration and end-of-line test tooling, data recording and playback, and the containers and CI/CD that let a small team ship all of this quickly and reliably. Much of the work is turning early results into maintained, reusable components that robotics teams inside and outside Lyte can depend on: a proof of concept becomes a driver, a one-off script becomes a calibration pipeline, a demo becomes a supported release. You will work closely with algorithm, hardware, silicon, and manufacturing engineers, and split your time between building new capability and supporting the people who use it. Expert-level C++ and Python are required. You should be equally at home in a CUDA kernel, a ROS 2 node, a CMake file, and a GitLab pipeline.
Key Skills for This Role
C++PythonCMakeROS 2LinuxCUDA
Full Job Posting
About the role
We are looking for a hands-on software engineer to make Lyte's LiDAR and camera perception systems work end to end on real robots and on the compute platforms our customers use. You will own the software path from sensor packets on the wire to calibrated, time-synchronized point clouds and images inside a robotics stack: sensor drivers and SDK, GPU-accelerated processing, calibration and end-of-line test tooling, data recording and playback, and the containers and CI/CD that let a small team ship all of this quickly and reliably. Much of the work is turning early results into maintained, reusable components that robotics teams inside and outside Lyte can depend on: a proof of concept becomes a driver, a one-off script becomes a calibration pipeline, a demo becomes a supported release. You will work closely with algorithm, hardware, silicon, and manufacturing engineers, and split your time between building new capability and supporting the people who use it. Expert-level C++ and Python are required. You should be equally at home in a CUDA kernel, a ROS 2 node, a CMake file, and a GitLab pipeline.
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