Manager, AV Evaluation Framework

General Motors

. Lead, coach, and grow a high-performing team of software and data engineers through hiring, onboarding, career development, feedback, and performance management .

Posted 9/19/2026full-timeSunnyvale • California • United StatesSeniorLead💰 $218,800 - $335,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading and developing high-performing software and data engineering teams, with a strong focus on building scalable data-processing pipelines and delivering technical roadmaps. Proficient in translating complex technical challenges into actionable plans while ensuring operational excellence and reliability.

Highest-signal resume keywords

Team LeadershipData Pipeline DevelopmentTechnical Roadmap DeliverySoftware Engineering FundamentalsCommunication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonC++SQLData Processing PipelinesSystem DesignTestingCode ReviewObservabilityPerformance TradeoffsStatistical Methods

Soft Skills

CoachingInfluencingFeedbackCareer DevelopmentTrust Building

Tools & Technologies

BigQueryDatabricksCloud InfrastructureWorkflow OrchestrationTelemetry

Industry Keywords

Autonomous VehiclesRoboticsSimulationAdvanced Driver-Assistance SystemsSafety-Critical Systems

Tech Stack

Tools & technologies

BigQueryCloudPythonSQLC++

About the role

Key responsibilities & impact

Lead, coach, and grow a high-performing team of software and data engineers through hiring, onboarding, career development, feedback, and performance management
Define and communicate the team’s technical vision, roadmap, priorities, and operating plan in partnership with Evaluation and broader AV leadership
Own delivery of scalable frameworks for creating, executing, and monitoring metrics across simulated and real-world driving data
Ensure platforms are reliable, observable, performant, maintainable, and easy for internal customers to use
Establish service-level objectives, health metrics, dashboards, and operational practices for critical data and analysis pipelines
Balance feature delivery, platform modernization, technical debt, operational support, and long-term architecture investments
Partner with internal and external stakeholders to translate ambiguous needs into clear technical plans and measurable outcomes
Raise the engineering bar through architecture, design reviews, testing, code review, documentation, security, and operational excellence
Develop mechanisms distinguishing framework ownership from metric-specific business logic
Participate in and improve production-support and incident-response practices for critical metrics and data pipelines

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience
8+ years of experience building software, data platforms, analytics infrastructure, or evaluation systems in a production environment
3+ years of experience directly managing and developing engineers or other technical professionals
Experience setting technical direction and delivering a roadmap for a platform, framework, or infrastructure product used by multiple teams
Experience building or operating scalable data-processing pipelines, workflow systems, developer tooling, or distributed services
Strong understanding of software engineering fundamentals, including system design, testing, code review, observability, and performance tradeoffs
Experience using data and operational metrics to improve reliability, prioritization, and execution
Ability to translate complex technical problems and ambiguous customer needs into clear priorities and decisions
Strong written and verbal communication skills, with the ability to influence across organizational boundaries
Preferred: experience in autonomous vehicles, robotics, simulation, advanced driver-assistance systems, or another safety-critical and data-intensive domain
Preferred: experience evaluating complex systems using statistical, numerical, machine learning, or time-series methods
Preferred: experience with metrics platforms, data quality systems, experiment analysis, telemetry, or performance monitoring
Preferred: proficiency with Python, C++, and SQL in production engineering environments
Preferred: experience with large-scale analytical data stores such as BigQuery, Databricks, or similar technologies
Preferred: experience with workflow orchestration, batch processing, cloud infrastructure, and data-pipeline operations
Preferred: familiarity with simulation, sensor data, road testing, or evaluation of perception, prediction, planning, or control systems
Preferred: experience leading platform migrations, reducing technical debt, or consolidating fragmented frameworks
Preferred: demonstrated ability to build trust with technical and non-technical partners and create clarity in a rapidly changing environment

Benefits

Comp & perks

Incentive pay program with payouts based on company performance, job level, and individual performance
Eligibility to participate in a company vehicle evaluation program after successful completion of a motor vehicle report review
General Motors benefits and Total Rewards resources
Reasonable accommodations for applicants with disabilities