
System Safety Engineer, Strategic Programs & Integration
Mountain View, CA at a glance
- Rent
- #2 of 51$2,780/mo+46% vs US avg
- Weather
- #17 of 51311 mild days0 hot · 0 cold
- Income tax
- #1 of 5113.3% top rateCalifornia
What you need
- 10+ yrs safety engineering/program management in safety-critical domains
- BS/MS in Engineering, Robotics, CS, or Systems Engineering
- Expertise in ISO 26262, ISO 21448, MIL-STD-882 safety standards
- Proven management of complex cross-functional technical programs
- Deep understanding of autonomous vehicle systems and V&V
What you'll do
- Lead end-to-end program planning, roadmapping, and OKR definition for System Safety
- Spearhead safety workstreams for strategic programs across engineering domains
- Establish and execute Safety Baseline/Delta approach for new capabilities
- Govern safety readiness criteria across vehicle platforms, resolve bottlenecks
- Standardize safety processes, build automated dashboards (Jira/TaskFlow)
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 mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The Waymo Safety team works to promote and help to continuously improve the safety of Waymo’s fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety engineering analyses to ensure safety is being considered throughout the design and development of our vehicles. The team develops and promotes safety strategies and policies for autonomous vehicles for its work with regulatory authorities, lawmakers, law enforcement and public and non-profit organizations. Our Safety Team also helps advise on compliance with applicable environmental, health, and safety regulations.
In this hybrid role, you will report to the Head of System Safety.
You will:
- 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
You have:
- 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
- Demonstrated ability to influence and align diverse engineering, product, operations, and leadership teams in fast-paced, ambiguous environments
- Experience establishing engineering workflows, requirements traceability, and project management frameworks using Jira, Buganizer/TaskFlow, or equivalent systems
We prefer:
- Direct experience working with L4 autonomous driving systems, commercial ADAS platforms, or robotics product commercialization
- Experience driving safety concepts or operational safety for consumer-facing vehicles, human-machine interface (HMI) transitions, or decentralized fleet maintenance
- Hands-on experience with safety case development (Claims-Arguments-Evidence), STPA, HARA, or Probabilistic Risk Assessments (PRA)
- Familiarity with data modeling, scripting (e.g., Python/SQL), and building automated metrics dashboards to monitor safety program health and risk exposure
- Experience supporting regulatory briefings, safety waivers, or compliance documentation for emerging transportation technologies
Travel Requirements:
- This role is expected to travel approximately 5%
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
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About Waymo
Waymo, an Alphabet company, is the world leader in autonomous driving technology. Their Waymo Driver powers fully autonomous ride-hailing services in multiple US cities, having completed millions of driverless trips. Formerly the Google Self-Driving Car Project.
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