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Parallel Systems

Embedded Software Engineer, Perception (All Levels)

Los Angeles, CAFrom $212kmidAdded today

About this role

Parallel Systems is hiring an Embedded Software Engineer to develop low-level firmware and drivers for the perception sensing stack on autonomous battery-electric rail vehicles. You'll optimize camera and lidar data pipelines running on Linux, ARM, and NVIDIA Jetson platforms, focusing on real-time performance and hardware integration.

What you'll do

  • Develop and maintain drivers and kernel modules for ARM and NVIDIA Jetson compute platforms in embedded Linux environments
  • Write low-level systems software in Rust and C/C++ for sensor drivers and perception-critical components from board bring-up to production
  • Build and optimize high-throughput sensor drivers for cameras, lidars, and IMUs with focus on capture pipelines and buffer management
  • Drive real-time performance optimization including timesync, latency reduction, frame drop elimination, and deterministic multi-sensor operation
  • Test and validate sensor configurations across firmware and hardware revisions under varying conditions
  • Profile and optimize GPU and kernel performance on NVIDIA platforms using CUDA and TensorRT to meet real-time constraints

What they're looking for

  • Embedded Linux kernel development and driver programming
  • C/C++ and Rust systems programming
  • ARM and NVIDIA Jetson/Tegra platform experience
  • Real-time systems optimization and performance profiling
  • Camera and lidar sensor integration and protocol knowledge
  • CUDA and GPU optimization
  • Hardware bring-up and board-level debugging
  • Multi-threaded systems and deterministic timing
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Parallel Systems

Parallel Systems builds autonomous battery-electric rail vehicles designed to revolutionize freight transportation. The company is hiring Software Engineers, Mechanical Engineers, Electrical Engineers, and DevOps Engineers to develop and maintain the testing infrastructure, vehicle systems, and cloud infrastructure for these safety-critical autonomous vehicles.

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Likely interview questions

  • Walk us through your experience developing Linux kernel drivers or firmware—what sensors or interfaces have you worked with?
  • Describe a time you optimized a real-time data pipeline for latency and throughput. What tools and techniques did you use?
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