Software Engineer – Physical AI Platform Integration

Develop and maintain sensor drivers and SDK components for Lyte's LiDAR and camera perception systems.

About the role

As a Software Engineer, you will make Lyte's LiDAR and camera perception systems work end to end on real robots and on customer compute platforms. You will own the software path from sensor packets to calibrated, time-synchronized point clouds and images inside a robotics stack.

What you'll do

• Develop and maintain sensor drivers, ROS 2 packages, and SDK components that deliver Lyte LiDAR and camera data to robotics and perception stacks on NVIDIA Jetson and x86 GPU platforms.
• Own time synchronization and data-path correctness for Ethernet-attached sensors: PTP, packet parsing, time-stamping, and frame assembly for high-bandwidth streams.
• Design and maintain calibration, KPI, and end-of-line test pipelines used in manufacturing and field bring-up, including automation of test fixtures.
• Build the recording, playback, and visualization tooling (pcap, MCAP, Foxglove, compressed video) that engineers and customers use to capture, replay, and debug sensor data.
• Own the developer platform: Docker images, ROS 2 distributions, Python and C++ packaging, and CI/CD on GitLab CI and Jenkins with fast, risk-based gating and hardware-in-the-loop test stages.

What you'll need

• Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related technical field, or equivalent practical experience.
• 3+ years of professional software engineering experience on systems that interface 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 another GPU compute framework, and of deploying software 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 (declarative pipelines and shared libraries in Groovy) or equivalent.

Nice to have

• Experience integrating LiDAR or camera sensors: point-cloud processing, camera models and rectification, intrinsic and extrinsic calibration, sensor time synchronization (PTP, hardware triggers).
• Experience with NVIDIA Holoscan, Isaac ROS / NITROS, or TensorRT.
• Background in state estimation or odometry or in signal processing for FMCW / Doppler sensing.
• Experience with robotics data tooling: MCAP/rosbag, Foxglove, pcap analysis, large-dataset ingestion (Parquet).
• Familiarity with manufacturing or end-of-line test environments, robotic test fixtures, and release and versioning discipline for production images.
• Experience with Python/C++ interop (nanobind, pybind11, Cython), profiling (Tracy, Nsight), and micro-benchmarking.
• Experience running hardware-in-the-loop CI: Jenkins agents attached to device benches, Groovy shared libraries that drive flashing, power control, and on-device tests, and Gerrit or GitLab triggered device pipelines.
• Startup or small-team experience; comfort supporting demos and customers directly.
• MS or PhD in a related field is a plus, not a requirement.

Skills: sensor drivers, ROS 2, GPU-accelerated processing, CI/CD, Linux systems programming, CUDA

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