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Embedded Systems Hacker Jobs (NOW HIRING)

Gradient Robotics

Senior Software Engineer

San Francisco, CA · On-site

$144K - $190K/yr

Linux kernel hacking and embedded systems * Debugged timing and concurrency issues in the wild * Owned messy, ambiguous problems and turned them into robust software * Able to work on-site in San ...

ICR, Inc.

Cyber Reverse Engineer - Mason, OH

Mason, OH · On-site

$78K - $236K/yr

Conduct offensive and defensive research on embedded hardware and software * Perform system ... Active participation in Capture the Flag (CTF) and/or software hacking competitions Salary Range ...

Motorsport Hackers

$100 - $125/hr

Lead the integration of embedded systems with cloud‑based services and infrastructure, ensuring secure and scalable solutions * Prepare clear, concise feasibility studies and use their findings to ...

ICR, Inc.

Cyber Engineer - Aurora, CO

Aurora, CO · On-site

$100K - $220K/yr

Conduct offensive and defensive research on embedded hardware and software. * Perform system ... Active participation in Capture the Flag (CTF) and/or software hacking competitions. Salary Range ...

SparkFun Electronics

Embedded Software Engineer

Niwot, CO · On-site +1

$85K/yr

This includes microprocessor boards, sensor system breakout boards and everything in-between. In ... If you like the sound of our Engineering team and want to hack on the software that powers our ...

9 Mothers

Robotics Engineer, Senior

Austin, TX · On-site

$100 - $125/hr

We are a team of hackers, engineers, and mission‑driven builders who value field‑ready ... Control theory & embedded systems: Strong grasp of PID control, motor drivers, CAN bus, and RTOS ...

ICR, Inc.

Senior Cyber Engineer - Aurora, CO

Aurora, CO · On-site

$123K - $243K/yr

Conduct offensive and defensive research on embedded hardware and software. * Perform system ... Active participation in Capture the Flag (CTF) and/or software hacking competitions. * Additional ...

Visa

Cybersecurity Analyst

Austin, TX · On-site

$110K/yr

Develop and automate scripts, tools and resources needed to advance ethical hacking capabilities around new and emerging technologies like mobile, cloud and embedded systems * Active involvement in ...

Posted today

Leidos

Software Reverse Engineer

Columbia, MD · On-site

$107K - $195K/yr

Our team of hackers and engineers have experience spanning centuries of research, development, and ... Experience with real-time embedded systems. * Experience with signal processing. If you're looking ...

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Embedded Systems Hacker information

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$62.5K

$137.3K

$192K

How much do embedded systems hacker jobs pay per year?

As of Sep 9, 2026, the average yearly pay for embedded systems hacker in the United States is $137,274.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $163,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Embedded Systems Hacker jobs?

For Embedded Systems Hacker jobs, the most frequently searched job titles are:

Infographic showing various Embedded Systems Hacker job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $137,274 per year, or $66 per hour.

Senior Software Engineer

San Francisco, CA • On-site

Gradient Robotics
See more jobs at Gradient Roboticsexternal

$144K - $190K/yr

Full-time

Re-posted 17 days ago

Job description

About the Company
The datacenter buildout is the largest industrial project in human history. Gradient builds the autonomous robots that make it possible.
Partnered with the world's largest AI infrastructure companies and backed by the industry's best investors, we move fast and build full-stack systems that matter.
About the role
We're looking for a Founding Software Engineer to own how Gradient Robotics moves data from AI models to actuators. You'll work close to the hardware, from kernel and firmware up through the controls and perception layers, owning real-time pipelines that move hundreds of megabytes at single-digit millisecond latency. Vision inference, control loops, and actuation all live on the same clock, and it's your job to keep them there. The goal: bring visibility and determinism into the end-to-end inference pipeline so the ML model is the only stochastic component.
Responsibilities
  • Ship performance-critical code to real robots daily
  • Own the full data flow: camera frames in, perception and planning in the middle, control commands and actuator feedback out, and every system that carries them
  • Own the real-time control loop: keep high-rate control running deterministically alongside vision inference, and make sure a slow frame never becomes a late motor command
  • Build the perception data path: move high-bandwidth camera streams into the CV and ML models with minimal latency and zero silent drops
  • Push down latency and tighten the stack to make the system faster, more deterministic, and more reliable
  • Bring visibility into the pipeline: build the tooling and instrumentation that make real-time behavior across controls and vision observable and debuggable
Minimum Qualifications
  • 5+ years of software engineering experience building production systems close to hardware (drivers, kernels, embedded, robotics, or similar)
  • Software: Rust, Python, C++, operating systems, and multithreading
  • Infrastructure: Bazel, Nix, HIL testing, and CI/CD
  • Firmware and platform: Linux kernel hacking and embedded systems
  • Debugged timing and concurrency issues in the wild
  • Owned messy, ambiguous problems and turned them into robust software
  • Able to work on-site in San Francisco 5 days/week (6 days/week if needed during crunch time), embedded in the team

Preferred Qualifications
  • Experience with real-time control systems: motor control, high-rate control loops, or robot controllers
  • Computer vision pipeline experience: camera drivers, image transport, GPU inference, or sensor synchronization
  • Tracing and profiling experience: ftrace, flamegraphs, eBPF
  • Linux I/O experience: DPDK, SPDK, io_uring
  • Comfort using AI tools to multiply your own output

Apply