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.

NVIDIA is at the forefront of AI, developing groundbreaking technologies that transform how we interact with the world. Our team is leading the charge in crafting and refining world foundation models, generative models, and 3D reconstruction technologies that enable Physical AI. We are a multidisciplinary group with expertise in software engineering, advanced algorithms, and high-performance computing. This is an outstanding opportunity to join a group that is defining the future of AI and computer vision!

What you'll be doing:

• Partner with our researchers to develop and evaluate prototypes of our latest models for segmentation, video understanding, tracking, 3d reconstruction, and more.

• Fine-tuning, quantizing, and deploying machine learning models for production.

• Crafting tools for data handling, training, and model deployment at scale.

• Optimizing the training and evaluation processes for maximum efficiency.

• Collaborating in a large and dynamic codebase using modern data and ML languages.

• Closely collaborating with research, model development, performance, and product teams.

• Contributing to NVIDIA Nu Rec and other core NVIDIA products and libraries.

What we need to see:

• MS or PhD in Computer Science, Computer Engineering, or a related field with a focus on computer graphics, computer vision, or machine learning.

• Current with the latest research such as VGGT, Depth AnythingV3, SAM, CLIP, and LLAMA

• Hands-on technical knowledge in training and optimizing models.

• Record of projects developed in Python and Pytorch.

• Strong software engineering fundamentals, including source control, testing/validation, and containerization.

• Excellent communication and interpersonal skills, with the ability to work effectively in a dynamic, product- and research-focused team.

Ways to Stand Out from the Crowd:

• Strong coding architecture skills demonstrated through contributions to large internal or open-source projects.

• Experience with performance analysis and optimization, particularly for GPU-accelerated workloads.

• Experience with advanced CUDA development and optimization for graphics or vision applications.

• A history of multidisciplinary creativity and innovation, such as experience with hardware and software projects in graphics or robotics.

• Experience in robotic systems such as autonomous vehicles or humanoid robotics.

Come join us at NVIDIA and contribute to a team that is pushing the edges of what can be done in AI and computer vision. We’re looking for candidates who are innovative, ambitious, and ready to leave a lasting mark on the world! Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.