NVIDIA is seeking an engineering manager to lead engineering activities related to productizing Deep Learning models. Academic and commercial groups around the world are using GPUs to redefine Artificial Intelligence and data analytics, and to power data centers. We are building the software which has worldwide impact. We collaborate with the scientific community to implement and improve the latest algorithms. Ability to work in a multifaceted, product-centric environment is required and excellent interpersonal skills are also a requirement.

If you have a good understanding for deep learning and a strong algorithmic background, with exposure to computer architecture and performance, and leadership experience, then this role may be a phenomenal one for you! In this role you will lead and mentor forward-thinking engineers and will own related activities and interactions with teams across NVIDIA. Our org works with key internal partners on priority alignment across relevant teams for roadmap development of highly optimized novel and state-of-the-art numerical, analytics, and deep learning algorithms and associated R&D duties. If the idea of pushing the boundaries of state-of-the-art research and development excites you, and are interested in getting exposure to the entire DL SW stack, come join the team that build the GPU-accelerated DL platform used by the entire world.

What you’ll be doing:

• Plan, schedule, mentor, and lead the execution of projects and activities of the team. Including developing, optimizing, and deploying training and inference DL workloads.

• Collaborate with internal customers to align priorities across business units

• Coordinate projects across different geographic locations

• Grow and develop a world-class team

• Travel to conferences, other sites, or visit customers occasionally

What we need to see:

• Minimum requirement of BSc or equivalent experience

• 8 years related of overall experience, including 3 years of management/leadership experience, or an equivalent combination of graduate studies and experience

• Experience leading multiple software engineering projects

• Strong algorithms and DL skills or experience

• Excellent programming, debugging, performance analysis, and test design skills

• Great communication

Ways to stand out from the crowd:

• Experience with inference of DL models

• Background with complex DL systems (RAG, agentic)

• Experience doing performance analysis and tuning

• Exposure to HW architecture, ideally accelerators, and to numerical software

• Project management tools (e.g. JIRA, Microsoft Project)

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.