We are now looking for a Senior Performance Engineer focused on Deep Learning (DL) & High Performance Computing (HPC) to join our team. Our team is responsible for generating benchmark data across a rapidly growing catalog of Deep Learning & HPC applications on Nvidia and as well as competitive products. The data that we collect drives marketing and sales collateral as well as engineering studies for current and future products. In some instances, we write scripts that improve the team’s ability to collect data through automation and designing efficient processes for testing a wide variety of applications and hardware. You will have the opportunity to work with multi-functional teams and in a dynamic environment where multiple projects will be active at once and priorities may shift frequently. As a senior engineer, you will lead and guide the team through some of these projects.
NVIDIA builds the most advanced data center GPUs in world that are utilized in a growing number of computing areas ranging from life sciences to deep learning to quantum chemistry. NVIDIA strives to deliver the best possible performance, which allows researchers and scientists to do more world-changing work than ever before. Today, we are increasingly known as “the AI computing company.” We are 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:
Plan and execute GPU performance benchmarking across a wide range of HPC and DL frameworks and applications across on-prem, cluster, and cloud server platforms.
Aggregate, analyze, and generate written and visual reports with the testing data for internal sales, marketing, SW, and HW teams
Develop Python scripts to automate the benchmarking of test applications
Perform competitive analysis of GPU and CPU products
Work with internal engineering team to triage performance issues
Assist with the development of tools and processes that improve our ability to perform automated testing
Lead team in exploring and integrating new testing functions. eg LLMs, GenAI
Guide and mentor junior engineers
What we need to see:
Bachelor of Science degree in Engineering or Computer Science or equivalent experience.
8+ years of experience
Excellent programming and debugging skills in a scripting language such as Python or Unix shell
Advanced knowledge using Linux based systems
Proficiency in compiling software from source code, including debugging errors encountered
Knowledge of deep learning neural networks; how they work and familiarity with various DL frameworks
Experience using GPU-enabled HPC applications such as LAMMPS, GROMACS, Amber, RTM, etc…
Excellent English verbal and written interpersonal skills
Excellent data analysis skills and the ability to summarize findings in a written report
Familiarity using a container platform such as Docker or Singularity
Ways to stand out from the crowd:
Experience with GPU/CPU benchmarking on cloud solutions from AWS, GCP, Azure
GPU programming experience in CUDA, OpenACC, or OpenCL
Familiarity with software compilers such as GNU, Intel Composer, or PGI
Previous experience with benchmarking computer clusters
We have some of the most forward thinking and hardworking people in the world working for us and our best-in-class engineering teams are rapidly growing. We are building a team that will help shape the future of data center computing. If you are passionate about new technologies, care about improving efficiency and quality, and want to be at the forefront of AI & HPC, we would love for you to join us.
The base salary range is 160,000 USD - 304,750 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.#deeplearning
