Software Engineer – Physical AI Platform Integration at Lyte

Department: System & Hardware Engineering

Compensation

$170,000 – $250,000/yr

Setup: On-site
Location: Sunnyvale, California
Type: Full-time
Level: senior
Posted: Sep 13, 2026

Description

Lyte is hiring a hands-on software engineer to build and maintain LiDAR and camera perception software for real robots and customer compute platforms. The role covers sensor drivers, ROS 2 packages, SDK components, GPU-accelerated perception, time synchronization, calibration and end-of-line testing, data recording and visualization, Docker and CI/CD tooling, and integration support. It requires expert C++ and Python, systems programming, ROS 2, Linux, CUDA or another GPU framework, and experience taking prototypes into maintained components.

Required Skills

C++
Python
ROS 2
CUDA
Docker
CI/CD
Linux systems programming

Additional Information

Minimum Education: Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related technical field, or equivalent practical experience.
Required Previous Experiences: 3+ years of professional software engineering experience on systems that interface with real sensors or hardware.
Hands-on experience with ROS 2 or comparable robotics middleware and Linux systems programming, including networking and multi-threaded, real-time data paths.
Working knowledge of CUDA or another GPU compute framework and deploying software on NVIDIA Jetson or similar embedded GPU platforms.
Proven ability to build and maintain Docker-based development environments and CI/CD pipelines using GitLab CI and Jenkins or equivalent.
Track record of taking prototypes to maintained, tested, documented components and owning components end to end.
Preferred Qualifications: Experience integrating LiDAR or camera sensors, including point-cloud processing, camera models, rectification, calibration, and time synchronization.
Experience with NVIDIA Holoscan, Isaac ROS / NITROS, TensorRT, or similar accelerated perception frameworks.
Background in state estimation, odometry, or signal processing for FMCW or Doppler sensing.
Experience with robotics data tooling, including MCAP, rosbag, Foxglove, pcap analysis, and Parquet ingestion.
Familiarity with manufacturing or end-of-line test environments, robotic test fixtures, and production release discipline.
Experience with Python/C++ interoperability, profiling, and micro-benchmarking.
Experience running hardware-in-the-loop CI with device benches, Groovy shared libraries, and triggered device pipelines.
Startup or small-team experience and comfort supporting demos and customers directly.
MS or PhD in a related field.
Translation Company Name: Lyte AI