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Applied Intuition

Firmware HIL Engineer

Sunnyvale$140.4k–$195kfulltimemidAdded 2 days ago

About this role

Applied Intuition seeks a Firmware HIL Engineer to design and maintain hardware-in-the-loop testing infrastructure for autonomous vehicle development. You'll combine embedded systems expertise with Python automation and Linux infrastructure to manage large-scale test labs serving top automakers and defense contractors.

What you'll do

  • Build and scale Python-based test frameworks that interact with physical hardware across hundreds of test benches
  • Debug and stabilize flaky integration tests in production CI environments
  • Perform embedded hardware debugging using logic analyzers, oscilloscopes, and JTAG debuggers
  • Manage Linux systems administration including networking, kernel modules, and systemd configuration on baremetal machines
  • Design and implement CI/CD pipelines for hardware-heavy testing workflows
  • Develop firmware and embedded software that interfaces between on-target systems and PC-side applications

What they're looking for

  • Python and Bash scripting for tooling and test infrastructure
  • Hardware debugging (oscilloscopes, logic analyzers, JTAG debuggers)
  • Linux systems administration and command-line proficiency
  • Embedded systems and firmware development
  • CI/CD pipeline design (Buildkite, Jenkins)
  • Test automation and pytest frameworks
  • CAN/LIN/FlexRay automotive bus protocols (nice-to-have)
  • Nix/NixOS or Bazel build systems (nice-to-have)
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Applied Intuition

Applied Intuition builds autonomous vehicle and defense systems software, including motion planning algorithms, simulation infrastructure, and autonomy integration platforms for aerial and ground platforms. The company is hiring for security engineers, robotics/autonomy software engineers, hardware-in-the-loop specialists, and IT operations professionals to support its growing physical AI operations.

Website
appliedintuition.com
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Likely interview questions

  • Describe your experience building and scaling test automation frameworks that interact with physical hardware. What challenges did you face managing flaky tests at scale?
  • Walk us through a complex embedded debugging scenario you encountered. What tools did you use and how did you isolate the root cause?
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