Embedded Autonomy Engineer

San Francisco, Huntington Beach

About the role

<div class="content-intro"><h1 data-pm-slice="1 1 []"><strong>About Mach Industries</strong></h1> <p>Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition.</p> <p>Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security.</p></div><div> <h1><strong>

The Role</strong></h1> <p>Mach Industries is building an AI-forward autonomy stack for contested environments where GPS and other sensing are unavailable or unreliable. As an Embedded Autonomy Engineer, <strong>you own the Linux mission computer that manages cameras, sensors, and the autonomy stack in flight.</strong> You bring up Jetson-class compute, integrate high-bandwidth cameras and sensors into Linux, and make perception, planning, decision making, and on-edge inference run in real time under real SWaP, thermal, and vibration constraints. This is a role for an exceptional embedded Linux engineer who wants to work up into the autonomy stack, not just maintain boards: kernel and camera/SerDes bring-up, the sensor-to-GPU pipeline, on-target CUDA/TensorRT runtime, and the autonomy software that sits on top.</p> <h1><strong>Key

Responsibilities</strong></h1> <ul> <li> <p>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.</p> </li> <li> <p>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.</p> </li> <li> <p>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.</p> </li> <li> <p>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.</p> </li> <li> <p>Build and customize the embedded Linux image (Yocto or L4T): kernel, userspace, and reproducible builds for fielded compute.</p> </li> <li> <p>Harden the compute-and-sensing platform for flight: power, thermal, SWaP, vibration, and boot reliability; instrument, reproduce, and root-cause issues on real platforms.</p> </li> <li> <p>Define software-hardware interface specs with electrical engineers during board design cycles; debug integration with logic analyzers, oscilloscopes, and UART.</p> </li> <li> <p>Contribute to the autonomy runtime on the mission computer (middleware, health monitoring, state management) as the engineer who knows the Linux compute layer best.</p> </li> </ul> <h1><strong>Required

Qualifications</strong></h1> <ul> <li> <p>5+ years of embedded Linux development on custom hardware, with deep expertise in device tree configuration, BSP customization, and kernel bring-up.</p> </li> <li> <p>Camera and sensor integration on Linux: MIPI CSI and V4L2, plus GMSL or FPD-Link SerDes; comfortable owning the sensor-to-memory path.</p> </li> <li> <p>Experience with Yocto or L4T-based build systems; fluency in C, C++, Bash, and Python.</p> </li> <li> <p>Strong hardware debugging with logic analyzers, oscilloscopes, CAN, and UART; reads schematics and collaborates fluently with EEs.</p> </li> <li> <p>Track record taking Linux-based compute platforms from bring-up to real-world deployment, with real-time and performance optimization.</p> </li> <li> <p>Wants to work up the stack into autonomy and on-target inference, not only maintain the OS and boards.</p> </li> </ul> <h1><strong>Preferred

Qualifications</strong></h1> <ul> <li> <p>NVIDIA Jetson and the L4T stack; CUDA, TensorRT, GStreamer/DeepStream for on-target inference and media pipelines.</p> </li> <li> <p>ROS 2/copper-rs/dora-rs and integration of autonomy, perception, or localization software on the mission computer.</p> </li> <li> <p>Multi-sensor time-sync and calibration (PTP, hardware triggering)</p> </li> <li> <p>GPU pipeline and memory optimization, DMA, and zero-copy under real-time constraints.</p> </li> <li> <p>Nix or NixOS workflows; strong opinions about Rust.</p> </li> <li> <p>Experience in contested or degraded environments (RF denial, low-light/night, high-vibration platforms).</p> </li> </ul> </div> <div> <h1><strong>ITAR

Requirements</strong></h1> <p>To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR <a href="https://www.pmddtc.state.gov/?id=ddtc_kb_article_page&sys_id=24d528fddbfc930044f9ff621f961987">here</a>.  </p> </div><div class="content-pay-transparency"><div class="pay-input"><div class="title">Engineer</div><div class="pay-range"><span>$130,000</span><span class="divider">—</span><span>$160,000 USD</span></div></div><div class="pay-input"><div class="title">Senior Engineer</div><div class="pay-range"><span>$165,000</span><span class="divider">—</span><span>$220,000 USD</span></div></div></div><div class="content-conclusion"><p data-pm-slice="0 0 []">At Mach, we believe that

compensation is more than just a paycheck. It's a comprehensive package designed to reward the time, skills, and expertise you bring to our team. We are committed to offering competitive

compensation that is equitable, transparent, and aligned with market trends.</p> <p>Key Elements of Our

Compensation Philosophy:</p> <ul> <li><strong>Competitive Salaries</strong>: We continuously research market rates to ensure our salaries are competitive with those in our industry and geographic location.</li> <li><strong>Performance-Based Incentives</strong>: Our

bonus structure is tied to both individual and company performance, creating a win-win scenario that motivates our team members to excel.</li> <li><strong>Equity Participation</strong>: We offer stock options or equity to employees, ensuring that you share in the success and growth of the company.</li> <li><strong>Benefit Packages</strong>: Our

benefits include healthcare, dental and vision plans, retirement savings, and paid time off, because we understand that your well-being extends beyond the office.</li> <li><strong>Professional Development</strong>: We allocate funds for continuing education, training, and career growth.</li> <li><strong>Transparency</strong>: We are committed to openness about our

compensation tiers and how decisions are made, ensuring trust and mutual respect.</li> </ul> <p>By joining Mach, you’re not just accepting a job—you’re becoming a key part of a team that values your contributions and invests in your growth. Together, we aim to create a rewarding environment that sets the stage for long-term success.</p> <p data-pm-slice="1 1 []"><strong>Data Privacy</strong><br>To view Mach Industries candidate data privacy policy, please visit <a href="https://machindustries.com/privacy-policy" target="_blank">https://machindustries.com/privacy-policy</a>.</p> <p data-pm-slice="1 1 []"><strong>Disclosures</strong></p> <p>This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR).  Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.</p> <p>Mach participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.</p> <p>The salary range for this role is an estimate based on a wide range of

compensation factors, inclusive of base salary only. Actual salary offers may vary based on (but not limited to) work experience, education and training, critical skills, and business considerations. Highly competitive equity grants are included in most offers and are considered part of Mach’s total

compensation package. Mach offers

benefits such as health insurance, retirement plans, and opportunities for professional development.</p> <p>Mach is an equal opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the

requirements of applicable state and local laws. If you’d like to defend the American way of life, please reach out!</p></div>

About Mach Industries

Mach Industries is a defense manufacturing company building advanced unmanned systems and defense infrastructure for the modern era. The company develops products including VTOL strike aircraft, long-range munitions, and high-altitude pseudo-satellite platforms, with a vertically integrated and distributed manufacturing model designed for supply chain resilience. Its customers include the U.S. Army, U.S. Air Force, and U.S. Special Operations Command.

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Job details

Salary

$130,000 - $160,000

Location

San Francisco, Huntington Beach

Company

NameMach Industries
IndustryAerospace
Team Size3

Funding

Total raised

$185M

Last stage

Growth

Investors

Khosla Ventures
BBedrock Capital
Sequoia Capital
DDCVC
MMarque Ventures

Founders

ET

Ethan Thornton

Founder and CEO

What happens next.

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01

Confirm the fit

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02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.