Aurora Innovation
Senior Systems Engineer, Hardware Systems
$135K–$196K
Dallas, TX · On-site · Senior · Full-time · Posted Sep 24, 2026
- Experience
- 6+ years of relevant experience with a Bachelor’s degree, or 4+ years with a Master’s degree; also requires 2+ years in systems engineering and 2+ years in system test planning and execution.
- Education
- Bachelor’s degree in Electrical or Mechanical or Aerospace or Mechatronics or Computer Science Engineering, or a Master’s degree.
About the job
Investigates and resolves hardware and subsystem issues across Aurora’s vehicle fleet and production systems, from field triage through testing, root-cause analysis, and corrective-action deployment.
What you'll do
- Lead field and production investigations, identify root causes, and coordinate remediation.
- Design and conduct tests using closed-course evaluations, fault injection, and Hardware-in-the-Loop (HIL) setups; build automated HIL test scripts.
- Improve field diagnostic and sustaining workflows, update requirements, and travel to investigate field issues (30% of total time).
What they ask for
- Bachelor’s degree in Electrical, Mechanical, Aerospace, Mechatronics, or Computer Science Engineering and 6+ years of relevant experience, or a Master’s degree and 4+ years of relevant experience.
- 2+ years of industry experience in systems engineering.
- 2+ years of industry experience in system test planning and execution (verification and validation).
- Strong organizational and communication skills to manage field issues and coordinate teams.
Nice to have
- Experience troubleshooting complex automated-vehicle or robotic systems, including automotive communication networks and power distribution.
- Experience analyzing fleet and vehicle data; using enterprise AI tools and custom AI workflows/skills to accelerate data analysis and triage.
Pay
USD $135,000-$196,000 per year (base salary)
Tools
Hardware-in-the-Loop, Cummins Insite, Eaton Service Ranger, International Diamond Builder, KB Diag, J1939 CAN, LIN, FMEAs
AI focus
Preferred use of enterprise AI tools and custom AI workflows/skills to speed data analysis, root-cause analysis, and system triage.
Model-written summary · the original posting is authoritative