We are now looking for a Senior Software Engineer focused on Agentic AI for Science!
 

NVIDIA is seeking a Senior Research Software Engineer to join the Quantum & Chemistry group. As a member of our team, you will be part of the development effort of an AI for science agentic system. This work involves collaboration with domain scientists and AI scientists that will be carrying out research in agentic science. The agents will be used in a close collaboration with Eli Lilly and Company.
 

What You’ll Be Doing:

• Designing and developing solutions for AI for science agents that integrate with the current NVIDIA agentic stack.

• Collaborating closely with internal and external stakeholders to understand requirements and deliver robust full-cycle solutions

• Improving stability and performance across the agentic pipeline through architectural enhancements and code optimizations

• Troubleshooting issues in distributed environments

• Collaborating architects, DevOps engineers, product managers and partners to ensure high-quality releases

• Participating in code reviews, technical design discussions, and continuous improvement activities within the team

What We Need to See:

• B.Sc. in Computer Science, Engineering, or a related field (or equivalent experience)

• 5+ years of hands-on experience in software development

• Strong understanding of software design patterns, architectural principles, and standard methodologies in complex distributed systems

• Experience with microservices architectures

• Proficiency with version control systems (e.g., Git) and CI/CD pipelines

• Experience working with both Linux and Windows operating systems

• Strong problem-solving and analytical thinking, with the ability to deliver high-quality code and resilient services

• Strong debugging and solving capabilities in distributed systems or multi-node environments

• Excellent communication skills and an ownership-driven approach

• Experience in Agentic AI development

• Proficiency with Pytorch and or Tensorflow as well as Python proficiency

Ways to Stand Out from the Crowd:

• Familiarity with DevOps methodologies and tools (e.g., Jenkins, Ansible)

• Hands-on experience with Docker and containerized environments

• Experience with scientific codes and high-performance computing.

• Background with lab automation

NVIDIA's invention of the GPU revolutionized parallel computing. Our GPUs are being used in many of the largest high-performance computing projects around the world, solving real world problems, including advancing the state of Quantum Information Science. NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and experienced people in the world working for us. Our goal is to craft an environment where we can do our life's best work. If you're creative, autonomous, and highly motivated, we want to hear from you!