Staff Software Engineer

Hybrid - Sunnyvale, California, United States of America Apr11,2026

$219 K–$335 K

Job Overview Staff Software Engineer – lead the technical direction for the data collection platform, its ecosystem of integrations, automations, and end‑to‑end observability. Scale data collection to support autonomous driving and autonomous data flows from vehicles into AI/ML and analytics stacks, with a focus on data quality, traceability, and operational excellence. Responsibilities Own the system end‑to‑end – architecture, implementation, and operations for web UI, APIs, and backend services that power data collection and vehicle configuration workflows. Design and implement integrations between UX and 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 from vehicle endpoints to downstream consumers. Raise the bar on data quality and governance by defining and enforcing contracts, validation checks, and schemas across various systems. Define and evolve system architecture to meet GM’s standards for security, compliance, and reliability, including access control, auditability, and PII‑safe data handling. Create and standardize APIs and event schemas that make an easy‑to‑integrate platform for other applications and services. Partner cross‑functionally with AI research, data engineering, vehicle engineering, data science, analytics, data quality, and taxonomy teams to deliver robust, observable services. 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 – requirements, design docs, prototyping, implementation, code reviews, rollout, monitoring, and continuous improvement. Review and improve engineering practices – technical designs, code quality, documentation, and development processes across the team. Mentor engineers, influence technical direction across adjacent teams, and participate in hiring. 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. 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) and setting associated standards and frameworks. Strong programming experience in Python, Java, or Go (2+ preferred), including building backend services and APIs. Experience with cloud infrastructure (e.g., GCP, Azure, AWS): infrastructure‑as‑code, automation, configuration management, CI/CD pipelines, artifact management, feature flags, rollout strategies. Experience building production‑level frontend applications using React, Angular, or similar frameworks. 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 interfaces to them. Expertise in integration, automation, and platform thinking – 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. 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 core to engineers’ or operators’ 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. Prior work on end‑to‑end observability initiatives (defining SLOs, setting up dashboards, alerts, runbooks). Self‑motivated, strong at execution, and oriented toward clear, measurable impact. Excellent communication skills to align and influence cross‑functional stakeholders, resolve conflicts, build consensus, and convey trade‑offs to both technical and non‑technical audiences. Compensation The salary range for this role is $218,800–$335,300. Base salary will be offered within this range based on relevant factors. Bonus potential is available through an incentive pay program tied to company, job level, and individual performance. Benefits Medical, dental, vision, health savings account, flexible spending account, retirement savings plan Life insurance, paid vacation & holiday, tuition assistance, employee assistance program, GM vehicle discounts and more Access to wellness programs and health and wellbeing resources Relocation This role may be eligible for relocation benefits. Non‑Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to a workplace free of unlawful discrimination and to fostering inclusion. All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, veteran status, or any other status protected by law. Accommodations General Motors offers reasonable accommodations for job seekers with disabilities. If you need an accommodation, email or call View phone number on click.appcast.io with a description of the accommodation you request and the job title and requisition number. #J-18808-Ljbffr Dormont Manufacturing Company