Sr Software Engineer

General Motors develops automotive technologies and services focused on safer, more efficient, and more autonomous transportation. The Senior Software Engineer will build services, integrations, automation, and observability for the Smart Collect platform, enabling reliable vehicle data collection and delivery to AI/ML and analytics platforms. The role includes designing APIs and event-driven workflows, managing vehicle data configurations and campaigns, improving platform visibility and data quality, and leading cross-team engineering initiatives.

Responsibilities:

• Design and develop APIs, domain services, event-driven workflows, and vehicle-recording metadata pipelines
• Build services and user experiences for defining collection events and triggers, selecting data, generating and validating configurations, deploying campaigns, and monitoring results
• Design version-aware workflows that reconcile signals, schemas, hardware capabilities, and software compatibility across vehicle platforms
• Improve visibility into campaign health, fleet coverage, recording volume, ingestion latency, and data quality
• Lead technical design and deliver cross-team initiatives involving vehicle recording, fleet management, data platforms, autonomy, privacy, product, and program teams
• Raise the engineering bar through architecture reviews, automated testing, code reviews, technical mentorship, and production support

Requirements:

• 7+ years of professional software engineering experience, including ownership of production systems
• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, a related discipline, or equivalent practical experience
• Proficiency in Python or another modern backend programming language
• Strong experience designing scalable backend services, APIs, and relational data models
• Experience with event-driven architectures, asynchronous workflows, data ingestion, testing, debugging, and production operations
• Ability to communicate technical decisions and lead work across organizational boundaries
• This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}
• The selected candidate will be required to travel <25% for this role
• Experience with PostgreSQL, Kubernetes, Google Cloud (including BigQuery and Pub/Sub), Kafka, observability platforms, or data-quality systems
• Experience with FastAPI, React, or TypeScript
• Experience in autonomous vehicles, robotics, automotive software, embedded systems, or other safety-critical domains
• Familiarity with sensor data, vehicle data collection, fleet management, deployment control planes, or software-version compatibility
• Experience addressing privacy, data governance, resource constraints, or multi-environment deployments