Position Details
About this role
Support the development and deployment of AI/ML tools for autonomous vehicle systems, focusing on scalable infrastructure, model deployment, and developer productivity enhancements.
Key Responsibilities
- Support scalable ML infrastructure
- Improve deployment workflows
- Enhance developer tools
- Manage cloud environments
- Collaborate on AI/ML system deployment
Technical Overview
Involves working with distributed systems, cloud platforms, Kubernetes, Docker, GCP, and AI/ML deployment pipelines to support autonomous driving AI systems.
Ideal Candidate
The ideal candidate is a master's-level engineering student with strong fundamentals in distributed systems, AI, and ML deployment. They are eager to support scalable AI/ML tools and gain experience across cloud platforms and deployment pipelines.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Not enrolled in a master's program, Lack of experience with distributed systems, No familiarity with cloud platforms
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