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!
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering 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.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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