Staff Software Engineer

• 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 vehicles 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 team to assess data integrity and mining quality to ensure we collected right amount 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 - 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 and grow engineers influence technical direction across adjacent teams and participate in hiring.

• 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) and setting associated 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 interfaces to them.

• Expertise in integration automation and platform thinking - 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. .

• 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 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 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.

• The salary range for this role is $218800-$335300. 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: 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.

What We Do

At General Motors our vision is to create a world with Zero Crashes Zero Emissions and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better safer and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward together. We’re building vehicle software alongside its hardware hands-free driving that will lead to autonomy and EVs that charge your home for an all-electric future.

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