System Software Engineer (RDSS Intern)

Job Title

System Software Engineer (RDSS Intern)

Role Summary

Intern on the System Software team focused on diagnostics and validation for next-generation NVIDIA GPU platforms. The role develops software-based validation, debug, and automation tools used on GPU boards, servers, and racks and supports integration into manufacturing and datacenter workflows.

Work spans system software, hardware validation, automation, and triage and requires collaboration with hardware, firmware, operations, and manufacturing teams.

Experience Level

Entry-level internship (RDSS program). Suitable for current Master's or PhD students; no specific years of professional experience required.

Responsibilities

Core responsibilities include:

• Develop and enhance system diagnostics that validate GPU platforms across power, thermal, memory, PCIe, NVLink, and system-level behavior.
• Build stress tests, validation utilities, and automation with clear pass/fail criteria, structured logs, telemetry, and error codes.
• Collaborate with hardware and firmware teams on L6–L11 tests and integrate diagnostics into manufacturing and validation flows with appropriate scope, runtime, sequencing, and debug visibility.
• Investigate cross-boundary failures; analyze logs and platform behavior to identify root causes and improve coverage or debug signals.
• Contribute to tools, documentation, and workflows to improve bring-up, regression, and production validation efficiency.

Requirements

Must-have technical skills and experience:

• Project, research, or coursework experience in system software, platform validation, diagnostics, embedded software, or low-level Linux development.
• Strong programming skills in C, C++, or Python; solid fundamentals in algorithms and data structures.
• Familiarity with Linux-based development, scripting, debugging, and log analysis for hardware-adjacent software.
• Understanding of computer architecture and operating system fundamentals and interest in hardware/firmware/software interactions.
• Ability to collaborate across engineering and manufacturing teams and communicate technical findings clearly.

Nice-to-have:

• Hands-on experience with validation tools, factory-style test flows, lab automation, or datacenter system bring-up.
• Experience building structured logging, telemetry, reporting, or automated triage utilities.
• Exposure to server architecture, PCIe, accelerator systems, or high-speed interconnects.
• Experience using AI-assisted tools for log analysis, test generation, or debugging.

Education Requirements

Pursuing a Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.