Sr. Software Engineer - AI Quality and Productivity
General MotorsResponsibilities
- Design, develop, and maintain data-driven and AI-enabled applications and services for Product Development and Quality teams.
- Write and optimize complex SQL queries, functions, and stored procedures across enterprise data platforms.
- Build and optimize Databricks data pipelines and workflows for batch and near-real-time processing.
- Develop reusable backend services and APIs in Java and/or Python.
- Build enterprise applications using Kubernetes, Docker, Quarkus, Java, Angular, PostgreSQL, and approved tools.
- Partner with data science and AI teams to productionize AI/ML and LLM solutions, including feature pipelines, inference integrations, monitoring, and continuous improvement.
- Lead or contribute to solution architecture, technology patterns, technical standards, automated testing, CI/CD, observability, and secure coding practices.
- Troubleshoot production issues across data, application, and infrastructure layers and drive root-cause analysis and stable fixes.
- Collaborate with product owners, data engineers, architects, and business stakeholders to refine requirements and deliver incremental value.
- Mentor software engineers and document software and data solutions.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field, or equivalent experience.
- At least 6 years of experience delivering enterprise or full-stack software solutions using Java/JEE and Python, preferably with Angular.
- At least 3 years of experience writing, tuning, and optimizing complex SQL queries, functions, and stored procedures against large datasets.
- Experience building or supporting data pipelines, ETL/ELT processes, or data-centric applications on distributed or cloud platforms such as Databricks or Spark.
- At least 3 years of experience with Kubernetes/Docker, Quarkus, and cloud platforms such as Azure, AWS, or GCP.
- Experience with Git/GitHub, code reviews, automated builds and testing, and CI/CD pipelines such as GitHub Actions.
- Ability to learn and apply AI concepts and work with AI/ML and LLM-related data and APIs.
- Strong problem-solving, communication, ownership, collaboration, and accountability skills.
- Preferred qualifications include a master’s degree, 10+ years of enterprise software experience, deep Databricks or Spark experience, cloud migration experience, AI/ML or MLOps experience, data modeling and governance knowledge, observability and reliability experience, and the ability to influence technical direction and mentor engineers.
Benefits
- Hybrid work arrangement requiring the selected candidate to report to a specific location at least three times per week, or at another frequency set by the manager.
- The role may be eligible for relocation benefits.
- GM provides employee well-being and total-rewards benefits from day one.
- GM does not provide immigration-related sponsorship for this role.
Tech Stack
Categories
About General Motors
General Motors’ vision is to create a world with Zero Crashes, Zero Emissions and Zero Congestion, and we have committed ourselves to leading the way toward this future. Today, we are in the midst of a transportation revolution, and we have the ambition, the talent and the technology to realize the safer, better and more sustainable world we want. As an open, inclusive company, we’re also creating an environment where everyone feels welcomed and valued for who they are. One team, where all ideas are considered and heard, where everyone can contribute to their fullest potential, with a culture based in respect, integrity, accountability and equality. Our team brings wide-ranging perspectives and experiences to solving the complex transportation challenges of today and tomorrow. For information on the GM Privacy Statement, please visit http://www.gm.com/privacy-statement.html