Nvidia Senior System Software Engineer Enterprise MODS 

United States, Texas 

48986666

What You'll Be Doing:

• Develop diagnostic systems for NVIDIA data center platforms, which involve hardware and software tools to develop the worst case stress workloads for CPUs, GPUs, memory, storage, and interconnects.

• Lead platform bring-up and integration, ensuring diagnostics are embedded early and effectively across the server lifecycle.

• Drive hardware validation strategy in collaboration with architecture and hardware teams, crafting robust validation plans for new server generations.

• Analyze root causes of complex failures, acting as a Level 2 engineering contact for critical issues and offering scalable solutions across the stack.

• Develop diagnostics software to ensure quality and performance at scale across ODM and partner production lines.

• Mentor and grow engineering teams, providing technical leadership and encouraging a culture of innovation and excellence.

• Influence the long-term strategy by developing diagnostic architecture and roadmaps for the upcoming products of NVIDIA and its partners.

What we need to see:

• Proven experience architecting diagnostics for complex server systems, especially at the SW/HW interface.

• Deep systems knowledge: x86/ARM architectures, Linux/Windows OS internals, firmware (UEFI/BIOS), BMC, and platform security.

• Ability to weigh tradeoffs in system development and drive the most optimum solutions with customers and multi-disciplinary teams

• Expertise in programming languages like C, C++, and Python for tool development and automation.

• Familiarity with high-speed interconnects such as PCIe, Infiniband, NVLink, and Ethernet.

• Strong communication skills to engage with technical and executive team.

• BS/MS or equivalent experience in Computer Science, Electrical Engineering, or related field.

• 12+ years of engineering experience in diagnostics, embedded systems, or cloud platforms.

Ways to stand out from the crowd:

• Experience driving diagnostics across rack-level or cluster-level deployments.

• Background in cloud-scale infrastructure and partner engagement.

• Demonstrated success in influencing product direction and vendor roadmaps.

• Passion for mentoring and building high-performing teams.