General Motors · 7 hours ago
Senior Software Engineer - Vehicle Engineering and Quality
Warren, Michigan, United States of America
Full-time
Hybrid
Senior Level
5+ years expGeneral Motors is a leading automotive company committed to innovation and sustainability. The Senior Software Engineer for Vehicle Engineering and Quality will develop data-intensive and AI-enabled software applications to support Product Development engineering teams, focusing on data quality, performance, and reliability while mentoring other engineers.
AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
No H1B
Responsibilities
Design, develop, and maintain data driven and AI-enabled applications and services that support Product Development engineering teams
Write high-quality, performant SQL (queries, functions, stored procedures) for complex data transformations and modeling across enterprise data platforms (e.g., SQL Server, Oracle, PostgreSQL)
Build and optimize data pipelines and workflows in Databricks (DBX) and related tools to support batch and near realtime data processing
Develop backend services and APIs in Java and/or Python that integrate data, business rules, and user workflows into robust, reusable components
Develop enterprise grade applications using Kubernetes/Docker, Quarkus, Java, Angular, PostgreSQL, and other GM approved tools
Partner with data science and AI teams to productionize AI/ML and LLM based solutions, including feature pipelines, inference integrations, monitoring, and continuous improvement
Proactively identify and remediate issues related to code quality, patterns, performance, security, and data correctness, using code quality analysis tools and remediation techniques
Lead or contribute to solution design, including architecture, patterns, and technology choices aligned with GM standards and Statement of Technical Direction
Apply and champion software engineering best practices, including code reviews, automated testing, branching strategies, CI/CD pipelines (e.g., GitHub Actions), observability, and secure coding practices
Collaborate with cross-functional teams (product owners, data engineers, architects, business stakeholders) to refine requirements, define acceptance criteria, and deliver incremental value in an Agile/SCRUM environment
Troubleshoot and resolve production issues across the full stack (data, application, infrastructure), driving root cause analysis, stable fixes, and clear documentation
Navigate complex corporate processes to remove project roadblocks and keep delivery on track
Provide guidance and mentoring to fellow software engineers and team members, helping grow skills in SQL, Databricks, cloud, and AI related technologies
Document software and data solutions and ensure technical documentation meets GM standards and can be leveraged across VEQ and PD Business Systems
Qualification
Required
Bachelor's Degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field, OR equivalent experience
5+ years of experience delivering enterprise or full stack software solutions using Java / JEE, Python, and preferably Angular
3+ years of experience working with complex SQL queries, functions, and stored procedures, including performance tuning and optimization against large datasets
Experience building or supporting data pipelines, ETL/ELT processes, or datacentric applications on distributed or cloud platforms (e.g., Databricks, Spark, or similar)
3+ years of experience with Kubernetes/Docker, Quarkus, and cloud platforms such as Azure, AWS, or GCP
Experience working in Agile/SCRUM development methodologies, including backlog refinement, sprint planning, and incremental delivery
Handson experience with modern DevOps practices such as Git/GitHub, code reviews, automated builds, automated testing, and CI/CD pipelines (e.g., GitHub Actions)
Willingness and demonstrated ability to learn and apply AI concepts, including working with data and APIs that support AI/ML and LLM based solutions
Strong problem solving skills with the ability to break down complex technical and data challenges into clear, actionable steps and deliver high quality solutions
Excellent written and verbal communication skills with the ability to collaborate with both technical and nontechnical stakeholders
Demonstrated ownership mindset, accountability for quality, and focus on delivering measurable value to internal customers
Preferred
Master's Degree in Computer Science, Engineering, Information Systems, or a related field
10+ years of experience delivering enterprise grade or global, scalable software applications, including data intensive or analytics focused solutions
Deep hands on experience with Databricks (Delta tables, notebooks, jobs, workflows) and/or Spark for data engineering, analytics, or AI workloads
Proven experience migrating applications and complex data workloads to Azure or other cloud platforms, including use of managed data, messaging, and API services
Experience working with or supporting AI/ML initiatives (e.g., feature engineering, model integration, AI/LLM service integration, monitoring, and ML Ops concepts)
Knowledge of relational and dimensional data modeling, data quality practices, metadata management, and data governance in an enterprise environment
Experience with observability and reliability practices (logging, metrics, tracing, dashboards, alerting, SRE concepts) for data and application services
Demonstrated ability to influence technical direction, establish reusable patterns and standards, and mentor less experienced engineers
Ability to manage multiple initiatives and priorities in a fast-paced environment while maintaining high engineering standards
Benefits
Relocation benefits
Company
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$8.51BKey Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M
Leadership Team
Mary Barra
Chair and Chief Executive Officer
Tony Cervone
Senior Vice President, Global Communications
Recent News
2026-01-24
Company data provided by crunchbase