Embedded Autonomy Engineer — Real-Time AI on Jetson/Linux

Linuxconfig; Huntington Beach (CA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Equity grants

Retirement plans

Professional development

Job summary

Mach Industries in the United States is seeking an Embedded Autonomy Engineer to own the Linux mission computer, integrating cameras and sensors for the autonomy stack on Jetson-class hardware. You will push kernel bring-up, device trees, and real-time data paths under tight SWaP and environmental constraints.

You will work with EEs, QA, and software teams to deliver perception, planning, and on-target inference, with on-target CUDA/TensorRT runtimes and Yocto/L4T builds.

Qualifications

• 5+ years of embedded Linux development on custom hardware, with deep expertise in device tree configuration, BSP customization, and kernel bring-up.
• Camera and sensor integration on Linux: MIPI CSI and V4L2, plus GMSL or FPD-Link SerDes; comfortable owning the sensor-to-memory path.
• Experience with Yocto or L4T-based build systems; fluency in C, C++, Bash, and Python.
• Strong hardware debugging with logic analyzers, oscilloscopes, CAN, and UART; reads schematics and collaborates fluently with EEs.
• Track record taking Linux-based compute platforms from bring-up to real-world deployment, with real-time and performance optimization.
• Wants to work up the stack into autonomy and on-target inference, not only maintain the OS and boards.

Responsibilities

• Own bring-up and lifecycle of the Linux mission computer: board support packages, device trees, kernel configuration, and bootloaders on NVIDIA Jetson/Tegra and similar SoCs.
• Integrate high-bandwidth sensors into Linux end to end: MIPI CSI cameras with GMSL/FPD-Link SerDes, V4L2, and ISP tuning, plus radar over PCIe or Ethernet; own time-sync and calibration across the sensor suite.
• Build and optimize the real-time sensor-to-GPU data path that feeds perception, localization, and inference: zero-copy, DMA, GPU memory management, and camera-to-inference latency.
• Stand up and maintain the on-target execution environment for autonomy and ML: CUDA/TensorRT runtime, GPU/CPU scheduling, edge containers, and the drivers and libraries the stack depends on.
• Build and customize the embedded Linux image (Yocto or L4T): kernel, userspace, and reproducible builds for fielded compute.
• Harden the compute-and-sensing platform for flight: power, thermal, SWaP, vibration, and boot reliability; instrument, reproduce, and root-cause issues on real platforms.
• Define software-hardware interface specs with electrical engineers during board design cycles; debug integration with logic analyzers, oscilloscopes, and UART.
• Contribute to the autonomy runtime on the mission computer (middleware, health monitoring, state management) as the engineer who knows the Linux compute layer best.

Job description

Mach Industries in the United States is seeking an Embedded Autonomy Engineer to own the Linux mission computer, integrating cameras and sensors for the autonomy stack on Jetson-class hardware. You will push kernel bring-up, device trees, and real-time data paths under tight SWaP and environmental constraints.

You will work with EEs, QA, and software teams to deliver perception, planning, and on-target inference, with on-target CUDA/TensorRT runtimes and Yocto/L4T builds.