Senior Systems Software Engineer - GPU Performance at Scale

Overview

• NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
• It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
• Today, we’re tapping into the unlimited potential of AI to define the next era of computing.
• An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.
• Doing what’s never been done before takes vision, innovation, and the world’s best talent.
• As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
• Come join the team and see how you can make a lasting impact on the world.
• We are looking for a dedicated engineer for the Senior Systems Software Engineer role, focusing on GPU Performance at Scale.
• At NVIDIA, this role is uniquely positioned to drive innovation in AI and GPU computing.
• You will contribute to world-class computing hardware and software, fueling groundbreaking advancements in artificial intelligence.
• You will provide insights on large-scale system composition and tuning mechanisms for high-performance compute runs.
• Collaborate with researchers, developers, and customers to craft improved workflows and develop new, leading solutions.
• Engage with HPC, OS, CPU, GPU compute, and systems specialists to architect, build, and optimize large-scale performance platforms.
• What you'll be doing: Lead the implementation of performance practices in large-scale GPU infrastructure, delivering powerful tools, methodologies, and flows to validate and improve multiple datacenter products concurrently.
• Align next-generation AI workloads with next-generation datacenter builds for NVIDIA GPUs, CPUs, and networking hardware.
• Engage early with HW/FW/SW/platform internal and customer teams.
• Develop engineering solutions that provide continuous insights into the performance of AI workloads in evolving environments, generating swift insights into improvements and regressions.
• Decompose high-complexity performance or stability issues into minimal reproduction cases, working towards identifying the root cause.
• Participate in collaborations with various SW and FW teams (BMC/SBIOS/OS/drivers, etc.) to develop outstanding methods and tools.
• Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale.
• What we need to see: Proven understanding of accelerated computing software stacks (CUDA).
• Experience with modern cloud and container-based enterprise computing architectures, with Slurm preferred.
• Strong programming and scripting experience in C/C++/Python/Bash.
• Deep expertise in systems architecture and the impact of various components on performance.
• Experience with container technology and Linux-based OSes, with Docker preferred.
• Experience supporting high-performance computing or deep learning in engineering or academic research communities.
• Strong teamwork and communication skills, coupled with results-focused analytical abilities.
• BS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience); MS or PhD desirable with 10+ years of applicable experience.
• Ways to Stand Out From the Crowd End-to-end GPU performance engineering from the profiler to systems analysis.
• Linux systems programming and optimization experience.
• Exposure to virtualization techniques and cloud platform solutions.
• Experience with scheduling and resource management systems.
• Experience with large-scale HPC environments.
• Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• For Poland: The base salary range is 292,500 PLN - 507,000 PLN for Level 4, and 375,000 PLN - 650,000 PLN for Level 5.


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