Lead Full - Stack Developer for Cedars - Sinai's digital platforms, mentoring team and guiding technical direction. Collaborate on architecture, develop APIs, and ensure code quality in a hybrid environment.
About the role
- Software Engineering Intern developing services for GPU cloud infrastructure at Zettabyte. Collaborating with engineering teams to enhance AI compute systems and tooling.
Responsibilities
- Build and maintain cloud-native services and tooling supporting our GPU cloud platform
- Work with Kubernetes to help manage, schedule, and optimize GPU workloads across clusters
- Design and implement APIs, automation scripts, and internal tooling to improve platform reliability and developer experience
- Contribute to infrastructure-as-code, CI/CD pipelines, and deployment automation
- Write clean, well-documented code with testing and participate in code reviews
- Collaborate cross-functionally with infrastructure, product, and research teams to ship real features
- Leverage AI-assisted coding tools (GitHub Copilot, Cursor IDE, ChatGPT, etc.) to move fast and write quality code
Requirements
- Currently pursuing a B.S. or M.S. in Computer Science, Engineering, Mathematics, or a related field
- Strong programming skills in Go (Golang), Python, C/C++, or similar
- Demonstrate strong math and CS fundamentals — algorithms, data structures, discrete math, or systems
- Hands-on experience with Kubernetes, Docker, or cloud-native technologies
- Familiar with cloud platforms (GCP, AWS, or Azure) and how infrastructure fits together
- Worked with Git/GitHub and comfortable in Linux/Unix environments
- Can communicate complex technical ideas clearly, in writing and in code
- Curious, self-directed, and excited about working in an early-stage environment where your contributions matter
- Experience with competitive programming, research, or independent technical projects
Benefits
- Competitive internship stipend commensurate with experience
- Hands-on exposure to cutting-edge GPU cloud infrastructure and AI systems
- Mentorship from senior engineers with deep expertise in AI infrastructure
- Opportunity to convert to a full-time role for exceptional interns
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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