NVIDIA's invention of the GPU 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." Do you want to help drive the progress of compilers for machine learning applications? Are you excited to learn how GPU performance powers technology such as mobile gaming, deep learning, and self-driving cars? Are you passionate about challenging yourself and would you love to contribute as part of a world-class company?
We are building the next generation of compiler technologies to accelerate deep learning workloads. We are looking for an engineer to work on compiler verification in the AI space.
What you’ll be doing:
What we need to see:
In this role you will work closely with developers to test new and state of the art deep learning related features and components including crafting and executing unit, functional, and performance tests. This would include authoring and reviewing test plans, implementing & automating test cases and porting 3rd party tests. You will be generating test reports, isolating and classifying failures and tracking performance trends.
You will help identify potential or observed weaknesses in the current process, offer ideas for actions that can improve quality, and participate in quality initiatives and drive continuous improvement.
Ways to stand out from the crowd:
BS or MS in Computer Science, Computer/Electrical Engineering, Mathematics or related field (or equivalent experience)
Programming Languages: Have experience programming and/or testing in C++/C & Python as well as scripting languages
3+ years of work experience in a software development or test organization.
Compiler Domain Expertise: Have an understanding of how compilers work and how compilers are implemented.
Deep Learning/Machine Learning domain knowledge: Have a general understanding of machine learning concepts.
You should be focused, learn quickly, and have strong analytical skills with attention to detail. Strong troubleshooting and debugging skills.
Demonstrated uses of creative thinking for solutions to exciting problems that matter.
PhD in related fields
Knowledge of deep learning frameworks such as TensorRT, TensorFlow & PyTorch and optimizing compiler frameworks like TVM, XLA and Glow.
Experience in testing production software. Preferably compiler or machine learning software.
Knowledge of other programming languages and domains such as CUDA.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working for us!
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.