We are looking for a motivated software engineer to develop diagnostics and validation software for NVIDIA’s next-generation GPU servers. Our mission is to build demanding workloads and reliable diagnostic tools that validate complex systems throughout development, manufacturing, and deployment in data centers.
You will develop production C++ software on Linux, investigate challenging system failures, and collaborate with software, firmware, and hardware teams. This role is well suited to engineers who enjoy understanding how systems work, taking problems through to resolution, and adopting AI tools to improve engineering productivity and quality.

What you’ll be doing

• 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.

What we need to see

• 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.
• Familiarity with computer architecture and a curiosity about how

Ways to stand out from the crowd

• Experience with GPU or server diagnostics, system validation, manufacturing tests, or field-failure analysis. Demonstrated use of AI tools to improve development efficiency, debugging effectiveness, or test quality.
• 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.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are looking for a motivated software engineer to develop diagnostics and validation software for NVIDIA’s next-generation GPU servers. Our mission is to build demanding workloads and reliable diagnostic tools that validate complex systems throughout development, manufacturing, and deployment in data centers.
You will develop production C++ software on Linux, investigate challenging system failures, and collaborate with software, firmware, and hardware teams. This role is well suited to engineers who enjoy understanding how systems work, taking problems through to resolution, and adopting AI tools to improve engineering productivity and quality.

What you’ll be doing

• 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.

What we need to see

• 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.
• Familiarity with computer architecture and a curiosity about how

Ways to stand out from the crowd

• Experience with GPU or server diagnostics, system validation, manufacturing tests, or field-failure analysis. Demonstrated use of AI tools to improve development efficiency, debugging effectiveness, or test quality.
• 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.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.