Embedded Autonomy Engineer - Jetson/Linux with Equity

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

Benefits offered by this job

Healthcare

Retirement plans

Equity participation

Paid time off

Job summary

Mach Industries is building an AI-forward autonomy stack for contested environments. As an Embedded Autonomy Engineer, you own the Linux mission computer that manages cameras, sensors, and the autonomy stack in flight.

You will bring up Jetson-class compute, integrate high-bandwidth sensors into Linux, and make perception, planning, decision making, and on-edge inference run in real time under real SWaP, thermal, and vibration constraints.

Qualifications

• 5+ years of embedded Linux development on custom hardware.
• Camera and sensor integration on Linux with MIPI CSI and V4L2.
• Experience with Yocto or L4T build systems; fluent in C/C++, Bash, Python.
• Strong hardware debugging with logic analyzers, scopes, CAN and UART.
• Track record deploying Linux compute platforms to real-world use.
• Desire to move up into autonomy and on-target inference.

Responsibilities

• Own bring-up and lifecycle of the Linux mission computer: BSPs, device trees, kernel config, and bootloaders.
• Integrate high-bandwidth sensors end-to-end: cameras, SerDes, PCIe/Ethernet, sensor calibration.
• Build and optimize the sensor-to-GPU path for perception and inference with low latency.
• Maintain the on-target environment for autonomy and ML: CUDA/TensorRT, containers, drivers.
• Develop embedded Linux image (Yocto/L4T): kernel and reproducible builds.
• Harden the platform for flight: power, thermal, SWaP, vibration; reproduce issues.
• Define software-hardware interface specs with EEs; debug with analyzers and scopes.

Skills

Embedded Linux

Kernel bring-up

Jetson/Tegra

Device tree / BSP

C/C++

GMSL/SerDes camera

Tools

Yocto

L4T

CUDA

TensorRT

V4L2

Job description

Mach Industries is building an AI-forward autonomy stack for contested environments. As an Embedded Autonomy Engineer, you own the Linux mission computer that manages cameras, sensors, and the autonomy stack in flight.

You will bring up Jetson-class compute, integrate high-bandwidth sensors into Linux, and make perception, planning, decision making, and on-edge inference run in real time under real SWaP, thermal, and vibration constraints.