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. Join the team building software which will be used by the entire world. Interact 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 great 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. You will be working 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.
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What you'll be doing:
- Plan, schedule, mentor, and lead the execution of projects and activities of the team. Including creating, 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, 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
- Experience doing performance analysis and tuning
- Exposure to HW architecture, ideally accelerators, and to numerical software
- Project management tools (e.g. JIRA, Microsoft Project)
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you! 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.