We are now looking for a highly motivated Performance Software Engineer to join this dynamic and innovative team.

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.

What you’ll be doing:

Evaluate performance bottlenecks and come up with ways to improve performance in the hypervisor environment for the GPU application stack

Generate consistent performance metrics based on industry standards and develop frameworks, needed scripts for collecting and reporting the metrics.

Work actively on creating micro benchmarks for performance evaluation in cloud and bare metal environment.

Work collaboratively with other specialists and be willing to tackle any engineering tasks that commit to the progress towards the goals of the team and the company.

What we need to see:

Advanced knowledge in Computer Architecture. Detailed knowledge of NUMA, Cache coherency, PCIe.

Deep understanding of performance evaluation and analysis in virtualized environment with at least one hypervisor.

Experience with tools for performance analysis.

Solid knowledge of Computer I/O (e.g., RDMA, remote storage, etc.)

Good knowledge of Linux kernel internals.

Strong coding skills in languages like python, C/C++.

Shell scripting experience. Python and Perl experience is a Plus.

Experience with version control tools (e.g. git).

Excellent communication skills.

Ability to work in dynamic environment and can-do attitude.

Bachelor of Science Degree in Electrical Engineering or Computer Science or equivalent experience.

6+ years of experience

Ways to stand out from the crowd:

Good understanding of ARM and x86 platforms at architecture level. Experience with GPU-accelerated software. Knowledge of deep learning neural networks, how they work and familiarity with various DL frameworks.

Experience with container technologies (e.g. Docker). Deep understanding of technology and passionate about what you do

Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic work environment.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.