The opportunity
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to…
What you'll do
Lead end-to-end program planning, milestone roadmapping, and OKR definition: across the entire System Safety organization, ensuring high-priority safety workstreams align with company-wide product launches
Spearhead System Safety workstreams for new, strategic programs across: Onboard SW, Systems Engineering, Hardware, Ops Safety, and Product, translating high-level vehicle goals into actionable safety deliverables
Establish and execute the Safety Baseline and Delta approach for product: expansions and novel product capabilities
Track and govern safety readiness criteria across multiple vehicle platforms,: identifying critical-path bottlenecks and driving timely resolution
Partner with team leads to standardize safety processes, develop automated: workflows and tracking dashboards (Jira/TaskFlow), and reduce execution overhead for safety engineers
Serve as the primary safety interface to executive program leadership,: Product Management, Systems Engineering, and Fleet Operations, championing safety culture and synthesizing complex risk assessments into clear executive summaries
What they're looking for
- BS/MS in Engineering, Robotics, Computer Science, Systems Engineering, or: related technical field (or equivalent practical experience) with 10+ years of technical program management or safety engineering experience in safety-critical domains
- Working knowledge of system safety engineering principles, risk management,: and industry standards (e.g., ISO 26262, ISO 21448/SOTIF, ISO 31000/31010, or MIL-STD-882)
- Proven track record of managing complex, cross-functional technical programs: from concept through validation, including resource allocation, schedule risk management, and executive reporting
- Strong understanding of autonomous vehicle systems, software/hardware release: lifecycles, and systems engineering Verification and Validation (V&V) methodologies
