Senior Software Engineer - Digital Biology

NVIDIA • Santa Clara, CA

87d • $184,000 - $356,500

About The Position

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. Join NVIDIA in its mission to redefine digital biology through the use of AI and sophisticated computing technology. This presents an outstanding opportunity to collaborate with industry and academic partners, being responsible for the implementation and product development of deep learning algorithms for life sciences applications. Play a role in our adventurous vision to compose the future!

Requirements

• 8+ years of experience in AI/ML, with a strong focus on deep learning.
• BS/MS or equivalent experience in Computer Science, Physics, Mathematics, Statistics, or a related quantitative field.
• Proficiency in Python and deep learning frameworks, especially PyTorch.
• Proficient knowledge in deep learning principles and HPC techniques.
• Familiarity with cloud-native technologies (e.g., Kubernetes, containers, microservices).
• Shown technical leadership and ability to work independently and collaboratively.

Nice To Haves

• Hands-on experience with large language models and distributed training/inference.
• Expertise in CUDA, TensorRT, and cuDNN.
• Experience building and deploying cloud-native AI applications.
• Strong communication abilities and a proven track record of multi-functional partnership.

Responsibilities

• Implement brand new biological foundation models as NVIDIA NIM Microservices (NIM).
• Compose and build agentic AI solutions for biological applications.
• Lead the development and productization of large-scale AI algorithms.
• Own major software features from development to deployment.
• Collaborate closely with applied research, AI infrastructure, and full-stack engineering teams to deliver robust, scalable solutions.

Benefits

• Competitive salaries
• Generous benefits package
• Equity eligibility

What This Job Offers

• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees