Embedded Autonomy Engineer

Mach
San Francisco
Workplace: OnsiteFull timeUSD 130,000 - 160,000 annuallyFunction: Hardware, Embedded & Systems EngineeringExperience: 5+ yearsSkills: ["Debugging","Cross-functional collaboration","Performance optimization","Systems thinking"]

Own the Linux mission computer that powers an AI-forward autonomy stack for contested environments. You’ll bring up and maintain NVIDIA Jetson/Tegra-class compute, integrate MIPI CSI cameras and radar into Linux end to end (V4L2/ISP), and build a real-time sensor-to-GPU pipeline for perception and on-edge inference. You’ll also stand up CUDA/TensorRT and edge container execution, optimize performance under SWaP/thermal/vibration constraints, and help define software-hardware interfaces.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Mach
Mach
2 weeks ago

Embedded Autonomy Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Own the Linux mission computer that powers an AI-forward autonomy stack for contested environments. You’ll bring up and maintain NVIDIA Jetson/Tegra-class compute, integrate MIPI CSI cameras and radar into Linux end to end (V4L2/ISP), and build a real-time sensor-to-GPU pipeline for perception and on-edge inference. You’ll also stand up CUDA/TensorRT and edge container execution, optimize performance under SWaP/thermal/vibration constraints, and help define software-hardware interfaces.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Hardware, Embedded & Systems Engineering
Seniority: Mid level

Key Responsibilities

  • •Own bring-up and lifecycle of the Linux mission computer, including BSPs, device trees, kernel configuration, and bootloaders on Jetson/Tegra and similar SoCs.
  • •Integrate high-bandwidth sensors end to end in Linux, including MIPI CSI cameras with GMSL/FPD-Link SerDes, V4L2/ISP tuning, plus radar over PCIe or Ethernet, including time-sync and calibration.
  • •Build and optimize the real-time sensor-to-GPU pipeline for perception, localization, and inference, including zero-copy/DMA and GPU memory management to reduce camera-to-inference latency.
  • •Stand up and maintain the on-target execution environment for autonomy and ML, including CUDA/TensorRT runtime, GPU/CPU scheduling, edge containers, and required drivers/libraries.
  • •Build and customize the embedded Linux image (Yocto or L4T) and harden the compute-and-sensing platform for flight reliability under power, thermal, SWaP, and vibration constraints.

Pay and Benefits

Salary: USD 130,000 - 160,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionRetirement SavingsPaid LeaveEquity

Key Requirements

  • •5+ years of embedded Linux development on custom hardware, including device tree configuration, BSP customization, and kernel bring-up.
  • •Own camera/sensor integration on Linux, including MIPI CSI with GMSL/FPD-Link SerDes and V4L2, with end-to-end ownership of the sensor-to-memory path.
  • •Experience with Yocto or L4T build systems, plus fluency in C, C++, Bash, and Python.
  • •Strong hardware debugging skills using logic analyzers, oscilloscopes, CAN, and UART, with ability to read schematics and collaborate with electrical engineers.
  • •Track record taking Linux-based compute platforms from bring-up to real-world deployment with real-time and performance optimization.
Experience:5+ yearsEmbedded LinuxReal-time systemsNVIDIA JetsonAutonomyDefense technology
Skills:DebuggingCross-functional collaborationPerformance optimizationSystems thinking
Languages:English
Tech Stack:LinuxNVIDIA JetsonNVIDIA TegraJetson/TegraDevice treeBSPKernel bring-upBoard support packagesBootloadersMIPI CSIGMSLFPD-Link SerDesV4L2ISP tuningRadarPCIeEthernetTime-syncCalibrationSensor suite

Eligibility

Nationality:US National

Company Brief

Mach
Designs and manufactures unmanned systems, tactical engines, and decentralized defense manufacturing infrastructure (Forge) to scale production of autonomous aerial systems and related propulsion for U.S. defense customers and partners.
Industry: Defense Manufacturing
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Valuation: USD 250M to 500M
Funding: Series B
Headquarters: Huntington Beach, United States
Founded: 2023
Glassdoor
Glassdoor: 3.9
WebsiteLinkedInGlassdoor