Embedded Autonomy Engineer – Real‑Time Linux & Edge AI

Mach Industries; San Francisco (CA); On-site; USD 130,000 - 220,000; Full time

Benefits offered by this job

Health insurance

Equity participation

Professional development

Paid time off

Retirement plans

Job summary

Mach Industries is hiring an Embedded Autonomy Engineer to own the Linux mission computer for cameras, sensors, and autonomy stack on Jetson/Tegra platforms. You will bring up kernel, device trees, and bootloaders; integrate MIPI CSI cameras, SerDes, and radar; and optimize real-time data paths from sensor to on-device inference.

You will work across autnomous perception, localization, and ML execution, ensuring fielded compute meets SWaP, thermal, and vibration constraints.

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.

Skills

Embedded Linux

Device tree

C/C++

Python

Tools

NVIDIA Jetson

CUDA

TensorRT

Yocto/L4T

Job description

Mach Industries is hiring an Embedded Autonomy Engineer to own the Linux mission computer for cameras, sensors, and autonomy stack on Jetson/Tegra platforms. You will bring up kernel, device trees, and bootloaders; integrate MIPI CSI cameras, SerDes, and radar; and optimize real-time data paths from sensor to on-device inference.

You will work across autnomous perception, localization, and ML execution, ensuring fielded compute meets SWaP, thermal, and vibration constraints.