Software Engineer

We are seeking a motivated software engineer to develop diagnostics and validation software for NVIDIA's next-generation GPU servers.

You will develop production C++ software on Linux, investigate challenging system failures, and collaborate with software, firmware, and hardware teams.

Responsibilities

• Develop and maintain MODS diagnostic software, stress workloads, and validation tools for GPU boards, servers, and racks.
• Implement tests covering GPU compute, memory, power, thermal behavior, PCIe, NVLink, and other platform components, with clear pass/fail criteria and useful failure information.
• Write reliable, efficient C++ code and improve the performance, maintainability, and test coverage of a large production codebase.
• Reproduce and debug complex failures across software, operating systems, firmware, and hardware, working with the relevant teams to identify root causes and verify fixes.
• Integrate diagnostics into manufacturing and data center workflows, balancing test coverage, runtime, and reliability.
• Develop automation and supporting tools using Python and JavaScript; improve regression testing, log analysis, and diagnostic reporting.
• Apply AI-assisted tools to code development, debugging, test generation, and data analysis, reviewing and validating their results.
• Collaborate with architecture, driver, firmware, hardware, manufacturing, and partner teams, and document test behavior and troubleshooting procedures.

Requirements

• BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent practical experience.
• More than 3 years of professional software engineering experience, with substantial hands-on C++ development for production environments.
• Strong C++ programming skills, including sound understanding of data structures, algorithms, memory management, and maintainable software design.
• Extensive debugging experience: reproducing difficult failures, forming and testing hypotheses, analyzing logs and program state, and verifying root-cause fixes.
• Strong Linux development and troubleshooting skills, with a solid foundation in operating systems, processes, threads, memory, and concurrency.
• Familiarity with Python and JavaScript for automation, tooling, or supporting applications.

Nice to Have

• Experience with GPU or server diagnostics, system validation, manufacturing tests, or field-failure analysis.
• Familiarity with PCIe, NVLink, InfiniBand, Ethernet, or x86/ARM server platforms.
• Experience with CUDA, OpenGL, drivers, or software that interacts closely with hardware.
• Practical use of GDB, sanitizers, profiling tools, or tracing tools to diagnose correctness and performance issues.
• Experience improving automated regression pipelines, diagnostic coverage, or structured logging.

Benefits

Competitive salaries and a generous benefits package.