Senior Manager Validation Metrics
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Job Location:
Sunnyvale, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Job Description
About the Role
As aSenior Manager Validation Metricson theSoftware Validationteam within the Autonomous Vehicle (AV) organization you will own the end-to-end lifecycle of validation metrics for theSuper Cruiseprogramfromrequirements definition and metric design through implementation deployment and continuous monitoring. You will lead a team of systems engineers to design robust scalable metrics that underpinall ofautonomy validation.
Your work will directly support our goals to deliver high-confidence validation signals in simulation and on-road enable release decisions and continuouslymonitorproduction performance across the SC3 stack.
About the Organization
TheAutonomous Vehicle (AV) organizationis dedicated to advancing the development of autonomous vehicles throughcutting-edgesimulation technologies and novel iterative development processes.
TheSoftware Validationteam focuses on unlocking software launches and continuous release decisions via simulation-led verification and validation strategies prototypes and protocols. Our collaborative environment fosters innovation and excellence allowing us to push the boundaries of what is possible in autonomous vehicle testing.
WhatYoullDo
Own Validation Metrics Strategy and Roadmap ensuring alignment with all stakeholders while delivering metrics commitments on program milestones.
Lead the End-to-End Metric Lifecyclefrom stakeholder requirements and design through implementation validation and continuous monitoring across simulation and road environments.
Accelerate Metric Deploymentbyidentifyingand acting on opportunities for automation agentic offloading and scale.
Lead a High-Impact Engineering Teamof systems engineers setting technical direction;establishingengineering best practices and hiring against the metrics and confidence roadmap.
Drive Cross-Functional Collaborationto ensure metrics slicers and monitoring signals are usable trusted and integrated into scorecards reports and decision processes.
Ensure High-Quality Monitoring and Feedback Loopswith clear targets on completeness and quality driving continuous improvement in autonomy performance and safety.
Your Skills & Abilities
10 yearsof experience insoftware engineering data/ML engineering or robotics including substantial work on evaluation analytics or metrics for complex systems.
3 yearsof experiencemanaging engineering teams including hiring performance management and technical leadership.
Strong background inmetrics design and evaluationfor complex or safety-critical systems (e.g. AV/ADAS robotics large-scale ML systems or similar).
ProficiencyinPythonandSQLfor large-scale data analysis and building production-quality analytics or evaluation pipelines; familiarity withCor similar languages is a plus.
Demonstrated ability totranslate ambiguous validation and safety goals into concrete metrics acceptance criteria and implementation plans.
Excellentcommunication and stakeholder management skills capable of switching between high-level strategy and detailed technical discussions with engineers data scientists and non-technical partners.
What Will Give You a Competitive Edge
Experience withautonomous driving ADAS robotics or other safety-critical domains especially in validation safety or systems engineering roles.
Solid understanding of theML lifecycle(data training evaluation deployment) including common pitfalls such asdata leakage covariate shift and label noise and how they influence metric design and interpretation.
Experience withsimulation-led validation including scenario-based testing golden-set creation and simroad correlation metrics.
Hands-on experience withagentic workflows(LLM-based agents workflow orchestration frameworks or similar) used to accelerate analyses automate documentation or orchestrate complex data and metric pipelines.
Background inlearned metricsrepresentation learning oradvanced analyticsfor evaluation of ML systems particularly in high-dimensional sensor or trajectory data.
Track recordofbuilding and scaling new teams or charters especially in rapidly evolving technical problem spaces like AV validation ML evaluation or safety analytics.
Compensation:
The expected base compensation for this role is: $238700- $365700. Actual base compensation within the identified range will vary based on factors relevant to the position.
You also need to include general information about potential commissions if applicable.
Bonus Potential:An incentive pay program offers payouts based on company performance job level and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical dental vision Health Savings Account Flexible Spending Accounts retirement savings plan sickness and accident benefits life insurance paid vacation & holidays tuition assistance programs employee assistance program GM vehicle discounts and more.
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Required Experience:
Senior Manager
Key Skills
- Python
- SOC
- Debugging
- C/C++
- FDA Regulations
- Minitab
- Technical Writing
- GAMP
- OS Kernels
- Perl
- cGMP
- Manufacturing
About Company
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