Technical Program Manager, Safety

The role

You will own program execution for safety, systems engineering, and state estimation work to make autonomous heavy equipment safe. You will drive alignment across engineering, safety, autonomy, hardware, and field operations.

What you will do

• Own planning and strategic execution for the safety and systems portions of the autonomy roadmap.
• Support safety requirements being traceable, reusable, and integrated into roadmaps.
• Build and maintain the validation plan spanning simulation and on-site testing.
• Map and manage dependencies and tradeoffs across systems, hardware, software, state estimation, and safety.
• Drive program reviews, risk, and change management for multi-disciplinary, safety-critical initiatives.
• Provide reporting on roadmap health, delivery status, and safety implications.
• Translate field signals into prioritized engineering work and track issues to resolution.

Required qualifications

• 7+ years of technical program management experience
• 2+ years leading programs involving safety-critical or high-integrity systems
• Domain experience in robotics, autonomous systems, aerospace, or another physical-world safety-critical domain
• Working understanding of the software, firmware, and hardware stacks behind real-world autonomy
• Working familiarity with a functional safety standard, such as ISO 26262 or IEC 61508
• Fluency in statistics and probability to interpret validation results and reliability metrics
• Understanding of the rigor, validation, and cross-functional coordination required to operate reliably in the physical world
• Track record of managing complex, cross-functional programs under ambiguity
• Ability to operate at a deep technical level and distill complex risks into actionable plans
• Strong dependency, risk, and change-management instincts
• Bachelor's or Master's in Computer Science, Engineering, or a related technical field, or equivalent experience

Nice to have

• startup experience

About the company

Bedrock retrofits heavy equipment like excavators with autonomy to move AI onto real job sites. The team includes veterans from Waymo, Segment, and Uber Freight.