About the role#
This internship focuses on the design, development, and deployment of machine learning system software required to operate rack-scale systems. You will work on network performance, telemetry processing pipelines, and the analysis of system-level health. The role also involves deploying software frameworks, validating hardware, and maintaining secure, performant systems for data center-scale workloads.
What you'll do#
- Develop and deploy ML system software for rack-scale operations.
- Build and maintain telemetry creation and processing pipelines.
- Analyze system-level health and network performance.
- Provision software frameworks and support hardware validation.
- Ensure the security and performance of data center-scale ML workloads.
What you'll need#
- Progress toward a Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
- Proficiency in C/C++ or Rust.
- Proficiency in Python.
- Strong fundamentals in data structures and algorithms.
- A solid understanding of hardware/software co-design and low-level software engineering.
- Excellent communication and collaboration skills.
- Preferred experience includes Linux internals, kernel development, driver debugging, hardware diagnostics, server virtualization, or CI/CD pipelines.
Location & details#
- Location: San Jose, California.
- Term: Fall 2026 (12-week internship).
- Modality: Full-time, on-site.
- Compensation: Paid position with housing support available for those relocating.
- Benefits: Daily lunch and dinner provided in-office.
