Hardware-in-the-Loop (HIL) Team Lead
Waabi · Pittsburgh, PA
Roboticshybridlead
At a glance
Highlights
- Lead HIL strategy and execution across hardware and software organizations.
- Scale tiered HIL benches from component level to full-system integration.
- Verify destructive fault scenarios safely before track deployment.
Ideal candidate
Experienced HIL leader who has built test labs from scratch and thrives in ambiguity. Passionate about self-driving tech, cross-functional collaboration, and making autonomous trucking safe.
Requirements
- Bachelor's in Electrical Engineering, Computer Engineering, Computer Science or equivalent experience
- 7+ years in HIL, embedded systems test, or V&V for safety-critical systems, including building HIL programs from early stages
- Hands-on experience architecting custom HIL platforms and using OTS systems
- Deep knowledge of automotive interfaces and debugging: CAN, automotive Ethernet and related protocols
- Strong understanding of simulation vs stimulation, plant modeling, vehicle dynamics simulation and message-level injection
- Proficiency in Python and test automation frameworks, integrating hardware test into CI pipelines
- Demonstrated technical leadership driving cross-functional projects with high ambiguity across hardware and software
- Excellent technical writing and documentation skills
- Passionate about self-driving technologies and solving hard problems
- Experience with functional safety standards (ISO 26262) and real-time safety-critical systems
- Experience with heterogeneous compute platforms in HIL environments
- Experience with fault-injection hardware, load boxes and harness design
- Prior experience in autonomous vehicles, trucking or complex multi-platform vehicle programs
Lab profile
About Waabi
Leader in Physical AI powering commercial autonomous trucks and robotaxis.
What they build
- Commercial autonomous trucks
- Robotaxis
Known for
- Physical AI leadership
- World-class team
- Founded by AI visionary Raquel Urtasun
- Partnerships across AI, automotive, logistics and deep tech
Key facts
- Offices in Toronto, San Francisco, Dallas, and Pittsburgh
- Backed by leaders in AI, automotive, logistics, and deep tech
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