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About the Role

We are seeking an experienced Software Engineering Manager to lead our AV Data Processing and Services team. In this role, you will lead a world-class team of distributed systems, data infrastructure, and platform software engineers building the core pipelines and storage backbones that transform and serve petabyte-scale autonomous vehicle telemetry. Your platform directly powers GM’s perception, planning, ML training, safety metrics, and simulation loops. You will sit at the intersection of cloud distributed infrastructure and downstream AI/ML pipelines, balancing operational rigor, high throughput, and cost-efficient cloud architecture.

Responsibilities

Serve as a player-coach, contributing directly to technical design, implementation, and delivery while mentoring and guiding the broader engineering team.
Recruit, mentor, and grow a high-performing team of software and data engineers. Foster a culture of engineering excellence, code quality, and ownership.
Own the vision and architectural roadmap for the AV Data services including batch inference processing tools and streaming services for replay/simulation tools.
Optimize cloud compute and storage footprint (AWS/Azure/GCP, S3 tiering, distributed caches) to balance high query performance with cost efficiencies.
Establish production-grade SLAs, monitoring, data lineage, and automated testing across all data services. Own incident management and root-cause analysis for mission-critical platform outages.

Requirements

BA or BS in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience.
8+ years of professional software engineering experience in distributed systems, big data platforms, or cloud infrastructure, with 2+ years in formal engineering leadership.
Demonstrated experience designing, operating, and scaling petabyte-scale distributed data pipelines and storage systems (e.g., Apache Spark, Beam, Ray, Flink, Kafka, Iceberg, Delta Lake, and/or Presto/Trino).
Expert-level proficiency in C++, Rust, Go or Python, with a proven track record of designing and implementing robust, distributed systems.
Expertise in deployment and managing services in at least one major public cloud provider (Azure, GCP or AWS) utilizing automation and observability for operational excellence
Proven track record of translating complex, ambiguous cross-functional requirements into dependable technical roadmaps and reliable software deliverables.

Skills

Distributed systems
Data infrastructure
Platform software engineering
Petabyte-scale autonomous vehicle telemetry
Cloud distributed infrastructure
AI/ML pipelines
Batch inference processing
Streaming services
AWS
Azure
GCP
S3 tiering
Distributed caches
High query performance
Cost efficiencies
Production-grade SLAs
Monitoring
Data lineage
Automated testing
Incident management
Root-cause analysis
Apache Spark
Beam
Ray
Flink
Kafka
Iceberg
Delta Lake
Presto/Trino
C++
Rust
Go
Python
Public cloud provider management
Automation
Observability

Location

Hybrid

Work Type

Hybrid

Experience Level

8+ years of professional software engineering experience
2+ years in formal engineering leadership

Education Level

BA or BS in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience.

Benefits

Relocation benefits are available for candidates who qualify under company policy.
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
Total Rewards resources

About the Company

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.
We believe we all must make a choice every day – individually and collectively – 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.

Equal Opportunity

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.
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, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities.
Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment.
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.