Embedded Software Engineer, Perception (All Levels)
Parallel Systems2 months ago
Base Salary
$154k - $212k/yr
Responsibilities
- Develop and maintain drivers, kernel modules, and firmware for embedded Linux systems on ARM and NVIDIA Jetson/Tegra platforms.
- Write Rust and C/C++ systems software for perception-critical components from board bring-up through production hardening.
- Build and optimize camera, lidar, and IMU sensor drivers, capture pipelines, buffer management, and data integrity under sustained load.
- Improve real-time sensing performance by reducing latency and jitter, implementing time synchronization, eliminating dropped frames, and maintaining deterministic multi-sensor pipelines.
- Test and validate low-level sensor configuration changes across firmware and sensor revisions.
- Profile and optimize NVIDIA GPU and kernel performance, including CUDA, TensorRT, scheduling, and memory/IO behavior.
- Own a driver or firmware subsystem end-to-end and contribute to embedded Linux, Yocto/Tegra builds, diagnostics, real-time perception streaming, and ML inference systems.
Requirements
- Bachelor's or higher degree in Computer Science, Electrical Engineering, or a related technical discipline.
- At least four years of hands-on experience in embedded, firmware, or systems software engineering.
- Strong Linux internals and driver development knowledge on ARM-based platforms.
- Proficiency in Rust and C++ for systems-level programming.
- Experience with NVIDIA embedded platforms, including Jetson/Tegra.
- Experience developing or maintaining high-throughput camera or lidar drivers with data capture, buffering, and timestamp synchronization.
- Ability to debug across the hardware/software boundary using device trees, kernel logs, oscilloscopes, and logic analyzers.
- Strong communication and collaboration skills in interdisciplinary teams.
- Preferred qualifications include NVIDIA GPU and kernel optimization, Yocto-based builds, V4L2, GStreamer, MIPI CSI-2, autonomous vehicles, robotics, safety-critical systems, ROS2, sensor fusion, SLAM, and real-time perception streaming pipelines.
About Parallel Systems
Parallel Systems builds autonomous, battery-electric rail vehicles and fleet-management software that move containerized freight by rail, serving railroads and shippers seeking to shift short-haul loads off trucks. Privately held and founded in 2020 in Los Angeles, the company integrates with existing rail operations and sells vehicles and software-as-a-service to U.S. freight rail operators and logistics providers.