Mach Industries
Embedded Autonomy Engineer
$130K–$220K
Huntington Beach, California, United States +3 · Full-time · Posted Sep 2, 2026
- Location
- Huntington Beach, California, United States
San Francisco, California, United States
Huntington Beach, California, United States
San Francisco, California, United States - Experience
- 5+ years; no alternative stated.
- Visa sponsorship
- Applicants must be a U.S. citizen or national, lawful permanent resident, refugee, or asylee, or eligible to obtain required U.S. Department of State authorizations. Offers may be conditioned on authorization to receive export-controlled technology without sponsorship for an export license.
About the job
Own and develop the embedded Linux mission computer and sensor-to-GPU pipeline that run autonomy and on-target inference in flight.
What you'll do
- Bring up and maintain Linux compute platforms, including BSPs, device trees, kernels, bootloaders, and embedded Linux images.
- Integrate cameras and other sensors; optimize real-time data paths, runtime performance, and on-target inference.
- Harden and debug flight hardware, define software-hardware interfaces, and contribute to the autonomy runtime.
What they ask for
- 5+ years of embedded Linux development on custom hardware, including device tree configuration, BSP customization, and kernel bring-up.
- Linux camera and sensor integration with MIPI CSI and V4L2, plus GMSL or FPD-Link SerDes.
- Experience with Yocto or L4T build systems; fluency in C, C++, Bash, and Python.
- Hardware debugging with logic analyzers, oscilloscopes, CAN, and UART; ability to read schematics and collaborate with electrical engineers.
Nice to have
- NVIDIA Jetson/L4T, CUDA, TensorRT, and GStreamer/DeepStream.
- ROS 2/copper-rs/dora-rs, multi-sensor time-sync and calibration, or GPU pipeline optimization.
Pay
$130,000 — $160,000 USD base salary; $165,000 — $220,000 USD base salary
Tools
Linux, NVIDIA Jetson/Tegra, MIPI CSI, GMSL, FPD-Link, V4L2, Yocto, L4T
AI focus
Run and optimize autonomy, perception, localization, decision-making, and ML inference on the mission computer in real time, including CUDA/TensorRT execution.
Model-written summary · the original posting is authoritative