Build upon the opportunity to research new use cases with GPUs for emerging container technologies and Deep Learning frameworks.
Bring independent analysis, communication, and problem-solving to customer experience.
Collaborate with various teams worldwide for issues triaging and develop AI solutions.
Improve the availability, reliability, and overall experience of working with NVIDIA Deep Learning Framework containers on NVIDIA GPUs.
What we need to see
Masters or higher in Computer Science, Electrical Engineering, Computer Engineering, or related field.
Strong computer science concepts and excellent knowledge with C/C++ or Python.
Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented.
Professional-level communication skills, interpersonal skills with a passion to solve problems.
Ways to stand out from the crowd
Experience in developing, triaging and debugging on Linux and Containers and deep learning frameworks.
Experience working with distributed systems especially container orchestrators.
Any exposure to system level debug and triaging experience.
NVIDIA is committed to encouraging 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.
