NVIDIA is seeking an engineering manager to lead engineering activities related to productizing Deep Learning models. This role involves leading and mentoring forward-thinking engineers, owning related activities, and interacting with teams across NVIDIA. The ideal candidate will have a strong understanding of deep learning, a solid algorithmic background, exposure to computer architecture and performance, and leadership experience.
Key Responsibilities:
- 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.
Requirements:
- BSc degree with 8 years of related 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 Deep Learning skills or experience.
- Excellent programming, debugging, performance analysis, and test design skills.
- Great communication skills.
Preferred Qualifications:
- Experience with inference of DL models.
- Experience in performance analysis and tuning.
- Exposure to hardware architecture, ideally accelerators, and numerical software.
- Familiarity with project management tools (e.g., JIRA, Microsoft Project).
This role offers the opportunity to work on cutting-edge deep learning technologies, interact with the scientific community, and contribute to NVIDIA's GPU-accelerated DL platform used worldwide. Join a team that's pushing the boundaries of state-of-the-art research and development in AI and accelerated computing.