Staff Software Quality Safety Operations Specialist
Waymo · Mountain View, CA, United States; Remote, United States
Posted about 3 months ago
or apply directly on Waymo's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 91 days Waymo's roles stay open a median of 103 days
- Reposted
- No
- Salary listed
- No 0% of Waymo's roles list one
- Ghost-job risk at Waymo
- high 353 stale, 9 reposted of 353 open
- Hiring momentum
- 66 roles opened in the last 90 days ↓ down vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-11-14
Measured from postings appearing on and disappearing from Waymo's own greenhouse board since 2026-08-03. Full hiring picture for Waymo.
About this role
As a Staff Software Quality Safety Operations Specialist at Waymo, you will drive the strategy and technical implementation of safety triage workflows, leveraging machine learning and AI to enhance operational scalability. You will collaborate with various engineering teams to design and deploy advanced ML models, ensuring the safety and quality of the Waymo Driver. Additionally, you will serve as a subject matter expert in human-in-the-loop ML systems, advising on long-term technical strategies and operational capabilities.
- benefits
- 4/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Waymo as an employer.
What you need
- BS/BA degree or 7+ years of relevant work experience in AV Software Quality Operations / ML Operations
- Proven ability to manage complex, technical projects and experience working across technical partners (Product, Engineering, Data Science, Systems Engineering) to drive outcomes
- Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring
- Experience with ML testing and validation, including dataset quality assurance, bias detection, edge-case scenario testing, and performance evaluation using statistical metrics
- Ability to quickly learn and implement new concepts and utilize proprietary tools
- Strong understanding of driving rules and regulations
Nice to have
- Undergraduate in technical degree preferred
- Experience within A / V space
- Competency in LLM / transformer models, and / or ML for robotics domain experience
- Competency in SQL querying / data analysis
- Experience working with offshore teams / multiple local operations hubs.
What you get
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
Worth weighing
- No specific mention of remote work eligibility in all locations, which may limit options for some candidates.
- Salary range provided but actual starting pay depends on various factors, which may lead to uncertainty during negotiations.
Summarised from Waymo's posting. Read the full original.
Listed by Waymo on their greenhouse job board, last confirmed open on 2026-11-14. PitchMeAI is not the employer.
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