Staff Software Engineer
General Motors - Sunnyvale, CA
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Job Description About the Role We are seeking an experienced Staff Software Engineer to lead the technical direction for the data collection and its ecosystem of integrations, automations, and end-to-end observability . Scaling d ata collection is key to enab ling autonomous and eyes off d riving . In this role, you will design and build the platform that ensures high-quality data flows from vehicles into our AI/ML and analytics stacks, with strong guarantees around data quality, traceability, and operational excellence . You will work closely with AI research engineering, data engineering, vehicle engineering, data science, data quality, product and operations teams to deliver robust, observable services and user experiences that scale across General Motors programs. What Youu2019ll Do + Own the system end-to-end u2013 architecture, implementation, and operations for web UI, APIs, and backend services that power data collection and vehicle configuration workflows. + Design and implement integrations betweenUXand core platforms (data warehouse/lake, streaming pipelines, vehicle telemetry, configuration management, API gateway, identity & access, taxonomy/metadata services). + Build automations and orchestration for config rollout, data ingest, validation, and feedback loops (e.g., scheduled jobs, event-driven workflows, rule-based triggers). + Establish end-to-end observability : metrics, logs, traces, and dashboards that cover data flows fromvehiclesendpoints to downstream consumers. + Raise the bar on data quality and governance by defining and enforcing contracts, validation checks, and schemas acrossvarioussystems. + Define and evolve system architecture to meet GMu2019s standards for security, compliance, and reliability, including access control, auditability, and PII-safe data handling. + Create and standardize APIs and event schemas that makean easy-to-integrate platform for other applications and services. + Partner cross-functionally with: + AI research teamto assessdata integrity and mining quality to ensure we collectedrightamount of data via the data collection platform. + Data Engineering on ingestion, transformation, and storage patterns. + Vehicle Engineering on in-vehicle integration and configuration lifecycles. + Data Science & Analytics on data access patterns, features, and experimentation needs. + Data Quality & Taxonomy teams on metrics, definitions, and consistent metadata. + Define and track platform metrics (reliability, latency, throughput, data quality scores, correctness of deployments) and create a roadmap for scale, resilience, and faster development/deployment cycles. + Drive the full project lifecycle u2013 requirements, design docs, prototyping, implementation, code reviews, rollout, monitoring, and continuous improvement. + Review and improve engineering practices u2013 technical designs, code quality, documentation, and development processes across the team. + Mentor and grow engineers , influence technical direction across adjacent teams, andparticipatein hiring. Your Skills & Abilities (Required Qualifications) + Proven experience owning high-availability, mission-critical services in production, including on-call participation and incident response. + Track record of leading large technical initiatives from concept to production and iterative evolution (e.g., new platform, major re-architecture, or multi-system integration). + Ability to identify and decompose broad technical, functional, and business challenges into clear, executable initiatives across multiple teams. + Experience designing enterprise, systems, and integration architectures (APIs, event-driven systems, data flows, security boundaries, contracts) andsettingassociated standards and frameworks. + Strong programming experience in Python, Java, or Go (2+ of these preferred), including building backend services and APIs. + Experience with cloud infrastructure (e.g., GCP/Azure/AWS), including: + Infrastructure-as-code, automation, and configuration management. + CI/CD pipelines, artifact management, feature flags, and rollout strategies. + Experience building production-level frontend applications using React, Angular, or similar frameworks. + Strong understanding of JavaScript/TypeScript and modern frontend fundamentals (state management, performance, accessibility, testing). + Hands-on experience with observability tooling (metrics, logging, tracing, dashboards) and using telemetry to drive product and reliability decisions. + Comfort working with data platforms (data warehouses/lakes, streaming systems, ETL/ELT) and designing robust interfacestothem. + Expertisein integration , automation , and platform thinking u2013 you enjoy making complex systems simpler, safer, and more reusable. + BS, MS, or PhD in Computer Science, Engineering, Math, or related field , or equivalent practical experience.. What Will Give You a Competitive Edge (Preferred Qualifications) + Experience with REST/JSON and GraphQL APIs , webhooks, and event-driven or streaming architectures (e.g., Kafka, Pub/Sub). + Experience building internal tools and platforms that are core to engineersu2019 or operatorsu2019 daily workflows. + Experience with data modeling, taxonomy, and metadata systems for analytics, ML, or large-scale data platforms. + Familiarity with data quality frameworks (validation, contracts, lineage, anomaly detection) and tools. + Experience with ML, experimentation, or data science workflows , especially around data collection and feature pipelines. + Priorworkon end-to-end observability initiatives (defining SLOs, setting up dashboards, alerts, and runbooks). + Self-motivated, strong at execution, and oriented toward clear, measurable impact . + Excellent communication skills to: + Align and influence cross-functional stakeholders. + Resolve conflicts and build consensus. + Communicate trade-offs, risks, and technical decisions to both technical and non-technical audiences. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. + The salary range for this role is $218,800-$335,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. + 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. 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. #GM-AV-1 This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day u2013 individually and collectively u2013 to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-beingu2013at work and at homeu2013so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. 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Created: 2026-03-23