Software Engineering Manager (Autonomous Vehicle Data)

General Motors Company; Nacogdoches (TX); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Hybrid work model

Relocation benefits

Job summary

General Motors Company seeks an experienced Software Engineering Manager to lead the AV Data Processing and Services team. You will guide a world-class group of engineers building petabyte-scale data pipelines and storage backbones powering GM’s perception, ML, and simulation loops.

You will mentor by example, shape the architectural roadmap, and drive reliable, observable systems across AWS/Azure/GCP. This hybrid role emphasizes delivery, strategy, and cost-efficient cloud design.

Qualifications

• 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., Spark, Beam, Ray, Flink, Kafka, Iceberg, Delta Lake, 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).
• Proven track record of translating complex cross-functional requirements into dependable technical roadmaps and reliable software deliverables.

Responsibilities

• Hands-On Engineering Delivery: contribute to technical design, implementation, and delivery while mentoring the team.
• People & Team Leadership: recruit, mentor, and grow software and data engineers, fostering engineering excellence and ownership.
• Technical Strategy & Roadmap: own the vision and architectural roadmap for AV Data services and streaming/replay tools.
• Efficiency & Infrastructure Economics: optimize cloud compute and storage footprint to balance performance and cost.
• Reliability & Observability: establish SLAs, monitoring, data lineage, testing, and incident management.

Skills

Distributed systems

Big data

Cloud infrastructure

Leadership

Python

C++/Rust/Go

Spark/Beam/Ray/Flink

Kafka

Education

BA/BS in Computer Science or related field

Tools

Apache Spark

Beam

Ray

Flink

Kafka

Iceberg

Delta Lake

Presto/Trino

Job description

Job Description

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.

What You'll Do

• Hands-On Engineering Delivery: Serve as a player-coach, contributing directly to technical design, implementation, and delivery while mentoring and guiding the broader engineering team.
• People & Team Leadership: Recruit, mentor, and grow a high-performing team of software and data engineers. Foster a culture of engineering excellence, code quality, and ownership.
• Technical Strategy & Roadmap: Own the vision and architectural roadmap for the AV Data services including batch inference processing tools and streaming services for replay/simulation tools.
• Efficiency & Infrastructure Economics: Optimize cloud compute and storage footprint (AWS/Azure/GCP, S3 tiering, distributed caches) to balance high query performance with cost efficiencies.
• Reliability & Observability: 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.

Required Qualifications

• 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.

Preferred Qualifications

• Experience in implementing Data Platform services including catalog, indexing, planning, pruning and optimization paths in a PB-scale environment.
• Passionate about self-driving technology and its potential impact on the world.
• Comfortable delivering in a polyglot programming environment.
• Experience delivering data-intensive distributed compute architectures.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). 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}. Relocation benefits are available for candidates who qualify under company policy.

About GM

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