Senior System Software Engineer - Performance

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 an outstanding engineer for a System Performance Engineer role for at scale AI system performance and datacenter applications. Be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing! Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated Computing and Deep Learning software and hardware platforms, and with many researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, CPU and GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What you'll be doing:

• Provide engineering solutions to enable deployment of world-class GPU computing products at scale, lead technical relationships with engineering teams, and assisting system administrators, software and hardware engineers, and machine learning/deep learning engineers in building creative solutions.

• Lead aspects of performance analysis and scalable practices to support large scale infrastructure, deliver powerful tools, methodologies, and workflows to validate expectations.

• Deliver engineering solutions to deliver continuous insights into performance of AI workloads over evolving environments, generating quick insights to improvements and regressions over time.

• Decompose multi-faceted issues into minimal reproduction cases, working towards final root cause of underlying problems.

• Participate and engage with multiple team members to develop best practices for understanding trends in test results and presenting data clearly to develop data driven actions.

What we need to see:

• 5+ years of experience running multinode workloads and identifying bottlenecks and implementing improvements.

• Proven understanding of high-performance computing based architectures and GPU accelerated computing software stacks and DL Frameworks (CUDA, PyTorch).

• Experience with CPU architectures.

• Experience with C/C++/Python/Bash programming/scripting.

• Strong teamwork and communication skills.

• Ability to multitask in a dynamic environment.

• Action driven with strong analytical and analytical skills.

• BS in Engineering, Mathematics, Physics, or Computer Science, MS or PhD desirable (or equivalent experience).

Ways to Stand Out From the Crowd:

• Experience tuning memory, storage, and networking settings for performance on Linux systems.

• Knowledge of modern Cloud and container-based architectures.

• Hands-on experience deploying and debugging systems with NVIDIA NVLink and Infiniband.

• Experience with multiple monitoring stacks such as Prometheus+Grafana, Elasticsearch+Kibana, Splunk, Zabbix, etc.

• Demonstrated work with Open-Source software: building, debugging, patching and contributing code.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, with a genuine passion for technology, we want to hear from you.

The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.