Atoms
Staff Systems Integration Engineer, Hardware-in-the-Loop (HIL)
$220K
San Francisco, CA +1 · Staff · Full-time · Posted Aug 31, 2026
- Location
- San Francisco, CA
San Francisco, California, United States - Experience
- 8+ years of relevant experience with a bachelor's degree, or 6+ years with a master's degree; equivalent hands-on experience may be considered in place of the degree.
- Education
- Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Computer Science, or a related field; master's degree accepted under the stated experience alternative. Equivalent hands-on experience will be considered in place of the degree.
About the job
Owns the design, build, commissioning, and automation of hardware-in-the-loop system benches used to validate the autonomy stack off-vehicle.
What you'll do
- Design, build, instrument, and commission system benches, documenting how bench behavior correlates with vehicle behavior.
- Simulate vehicle systems and networks, and implement synchronized replay of recorded sensor and vehicle data.
- Develop automated tests and fault-injection validation, support engineering teams with debugging, and establish bench standards and documentation.
What they ask for
- Bachelor's degree in a related field and 8+ years of relevant experience, or master's degree and 6+ years; equivalent hands-on experience may substitute for the degree.
- Experience designing and building HIL or system-level test benches from architecture through commissioning.
- Hands-on vehicle network experience, including restbus simulation, network database authoring, and bus analysis tooling.
- Proficiency in Python and a systems language (C, C++, or equivalent), with test automation and continuous integration experience.
Nice to have
- Robotics middleware experience, such as ROS and its logging and replay tooling, or equivalent.
- Experience with real-time models, sensor and compute interfaces, fault injection, and off-nominal testing.
Pay
$220,000-$280,00 per year (base salary)
Tools
CAN, CAN FD, LIN, Automotive Ethernet, Python, C, C++, ROS
AI focus
Validates the autonomy stack for physical AI systems using off-vehicle hardware-in-the-loop benches.
Model-written summary · the original posting is authoritative