General Motors is looking to transform transportation through software-driven innovation, specifically by leveraging Artificial Intelligence and Data Science to improve vehicle intelligence and digital engineering. The company aims to pioneer intelligent automation through advanced prognostics powered by smart algorithms, large language models (LLMs), and machine learning to drive faster issue resolution and launch vehicles with exceptional quality.
Requirements
- Experience with visualization tools (Power BI) and libraries (D3.js, Plotly), interactive web apps (Databricks apps, Azure Apps)
- Advanced proficiency in both front-end development (React, Angular, TypeScript, HTML/CSS) and back-end development (Node.js, Python).
- Deep understanding of hybrid-cloud and cloud-native software architecture, system design, and security, including microservices and containerization using Azure, Azure Key Vault, App Services, and Azure Kubernetes Services (or similar cloud platforms).
- Experience with CI/CD processes, including automated builds, deployments, and pipeline development.
- Familiarity with data science use cases and machine learning development lifecycle.
- Experience with developing and deploying data pipelines
- Experience with Databricks Delta Lake, Mlflow, Unity Catalog.
Responsibilities
- Collaborate with data scientists, and stakeholders to deliver applications that train and serve machine learning models and create apps that make large datasets available to wider audience
- Lead front-end and back-end software architecture, design, and development ensuring alignment with GM technology and security standards.
- Implement software validation, testing, code review, documentation, and production monitoring processes to ensure user satisfaction, quality, and supportability.
- Work with partner teams such as data governance, infrastructure, architecture, and operations on platform management and technology migrations as required.
- Keep up with new trends and technologies and actively seek ways to increase productivity, including using GenAI where appropriate.
- Encourage continuous learning, knowledge sharing, and development within the team and the broader software engineering community.
- Lead the deployment of scalable AI/ML powered analytics and prognostics applications in a cloud environment, driving innovation across vehicle telemetry and software integration domains.
Other
- This role is based remotely but if you live within a 50-mile radius of Warren (MI), Austin (TX), or Mountain View (CA), you are expected to report to that office three times a week, at a minimum
- Exceptional analytical and independent problem-solving capabilities
- Strong listening and communication skills and ability to collaborate cross-functionally.
- Proven ability to lead engineering projects, mentor early-career developers, and collaborate effectively with data scientists, product managers, and non-technical stakeholders.
- 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.
