Join General Motors' innovative team as a Senior AI/ML Fullstack Engineer focused on Autonomous Vehicle (AV) Machine Learning Infrastructure. You'll develop scalable AI/ML systems that power next-generation automotive technologies, bridging frontend, backend, and ML components for real-world impact.

General Motors is at the forefront of transforming mobility through autonomous vehicle technology, and we're seeking a talented Senior AI/ML Fullstack Engineer to join our AV ML Infrastructure team in Sunnyvale. In this role, you will design and implement end-to-end AI/ML solutions that integrate seamlessly with our fullstack ecosystem, enabling robust infrastructure for machine learning models in autonomous driving applications.

Your responsibilities will include developing scalable backend services for data ingestion and processing, optimizing ML pipelines for real-time inference, and creating intuitive frontend interfaces for model monitoring and deployment. You'll collaborate with data scientists, software engineers, and product managers to ensure our AV systems are reliable, efficient, and scalable.

Key projects may involve building Kubernetes-based orchestration for ML workflows, integrating sensor data from vehicles into cloud-based training environments, and enhancing model serving capabilities for edge devices. This position offers the chance to contribute to groundbreaking advancements in safe and intelligent transportation, leveraging the latest in AI research and software engineering practices.

If you have a passion for AI-driven innovation and want to shape the future of automotive technology, apply now to be part of GM's mission to create a world with zero crashes, zero emissions, and zero congestion.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field; PhD preferred.
• 5+ years of experience in fullstack development with a strong emphasis on AI/ML engineering.
• Proficiency in Python, Java, or C++ for backend services, and JavaScript/TypeScript for frontend applications.
• Deep knowledge of machine learning frameworks like TensorFlow, PyTorch, or Kubeflow.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
• Strong understanding of AV-specific ML infrastructure, including data pipelines, model deployment, and edge computing.
• Excellent problem-solving skills and ability to work in agile, cross-functional teams.
• Familiarity with CI/CD pipelines and version control systems like Git.

• Competitive monthly salary with performance-based bonuses.
• Comprehensive health, dental, and vision insurance coverage.
• 401(k) retirement plan with company matching.
• Generous paid time off, including vacation, sick leave, and parental leave.
• Opportunities for professional development and tuition reimbursement.
• Flexible work arrangements, including remote options where applicable.
• Employee stock purchase plan and wellness programs.
• Access to cutting-edge tools and technologies in the automotive and AI sectors.