Supercomputing (Intern)

Join our supercomputing team as an intern, where you'll design, develop, and deploy ML system software for rack-scale systems. Your work will involve network performance, telemetry creation and processing pipelines, and analysis of system-level health and performance. You'll also be responsible for the deployment and provisioning of software frameworks and hardware validation. This is a great opportunity for students pursuing a degree in Computer Science, Engineering, or a related technical field.

• Design, develop, and deploy machine learning system software for operating rack-scale systems.
• Work on network performance, telemetry creation, processing pipelines, and analysis of system-level health.
• Assist in the deployment and provisioning of software frameworks and hardware validation for data center scale ML workloads.
• Strong fundamentals in data structures and algorithms
• Strong understanding of hardware/software co-design
• Strong understanding of low-level software engineering
• Progress towards a Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related technical field
• Proficiency in C/C++ or Rust
• Proficiency in Python
• Excellent communication and collaboration skills
• We encourage you to apply even if you do not believe you meet every qualification
• Experience with Rust or embedded development
• Exposure to server virtualization or CI/CD pipelines
• Experience with hardware diagnostics or interpreting hardware logs
• Experience with Linux internals, kernel development, or driver debugging