Software Engineer Intern - NVEX, 2027
Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 23, 2026. NVIDIA scores B on the Alion truth index.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are looking for a highly self-motivated software engineer intern to join NVIDIA Experience (NVEX) team. This is an outstanding opportunity to work with top engineers in the world to resolve critical customer issues and craft leading edge AI solutions. If you have a real passion for technology, and you are interested in a role that you can make a difference in and contribute at all different levels, this may be a phenomenal position for you.
What you'll be doing:
- Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including, but not limited to DGX, Networking, NVAIE, Omniverse, Container Orchestrators (such as Kubernetes), GPU accelerated applications, and Deep Learning frameworks.
- 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.