System Software Engineer – Data Center Compute Diagnostics

NVIDIA is seeking a system software engineer to develop low-level diagnostic software for next-generation data center GPUs and rack-scale AI systems.

The successful candidate will own well-scoped components of the diagnostic software from design through implementation, validation, productization, and field support. They will collaborate with hardware architects, driver developers, silicon-validation engineers, manufacturing teams, and field engineers to bring up new hardware and diagnose difficult system failures.

Key Responsibilities:

• Develop diagnostic and stress software in C/C++ and Python for complex hardware systems.
• Collaborate with hardware blocks, firmware, Linux device drivers, registers, telemetry, and low-level debugging tools.
• Bring up and validate new silicon and system features using pre-production hardware and software.
• Create targeted tests for compute engines, memory and cache subsystems, DMA engines, PCIe/NVLink interfaces, power, and thermal behavior.
• Investigate hardware and software failures involving memory errors, ECC, data integrity, performance, thermals, voltage/frequency behavior, and high-speed interfaces.
• Contribute to diagnostic and stress workloads ranging from low-level tests for GPU hardware to higher-level AI workloads.
• Use modern development and analysis tools, including AI-assisted tools, to accelerate coding, debugging, test creation, and failure analysis.

Requirements:

• BS or MS degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent experience.
• 5+ years of experience in embedded software, firmware, Linux device drivers, systems software, hardware validation, diagnostics, or silicon bring-up.
• Strong programming skills in C and C++, plus working proficiency in Python.
• Experience developing software that interacts with hardware, firmware, device drivers, hardware registers, or low-level interfaces.
• Experience creating diagnostics, validation tests, stress tests, manufacturing tests, or other software used to isolate hardware or system failures.
• Understanding of fundamental computer architecture concepts such as memory, caches, interrupts, DMA, buses, and device I/O.
• Strong debugging and problem-solving skills, including the ability to investigate failures across hardware and software boundaries.
• Ability to take ownership of a well-scoped problem and drive it to completion while collaborating with a technical lead and multi-functional teams.
• Good written and verbal communication skills.

NVIDIA offers highly competitive salaries and a comprehensive benefits package, including equity and benefits.