Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Automated Testing
CentOS @ 6
Data Analysis @ 3
Debugging @ 5
Deep Learning
Docker @ 2
HPC
Linux @ 6
Machine Learning
Marketing
Python @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing.
Our team is responsible for generating benchmark data across a rapidly growing catalog of Deep Learning & HPC frameworks/applications on Nvidia and as well as competitive products. The data we collect drives marketing/sales collaterals as well as engineering studies for current and future products. In some instances, we will write scripts that improve the team’s ability to gather 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. We are now looking for a Performance Engineer focused on Deep Learning (DL) & High-Performance Computing (HPC) applications to join our diverse team.
Responsibilities
- Plan and execute performance benchmarking across a wide range of HPC and DL frameworks and applications
- 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 testing of DL & HPC-focused applications
- Work with internal engineering team to debug performance issues
- Learn to use the latest applications in the areas of advanced machine learning and HPC
- Assist with the development of tools and processes that improve our ability to perform automated testing
Requirements
- B.S. in Computer Engineering, Computer Science or related technical field (or equivalent experience)
- 2+ years of experience
- Excellent programming and debugging skills in a scripting language such as Python or Unix shell
- Advanced knowledge using Linux based systems (Ubuntu and CentOS strongly preferred)
- Proficient in compiling software from source code, including debugging errors encountered
- Excellent English verbal and written interpersonal skills to improve collaboration with coworkers
- Excellent data analysis skills and the ability to summarize findings in a written report
- Familiarity using a container platform such as Docker or Singularity
Benefits
- Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.
- You will also be eligible for equity and benefits (www.nvidiabenefits.com/).