Manager, Deep Learning Algorithms

at Nvidia

πŸ“ Santa Clara, United States

$220,000-419,800 per year

SENIOR
βœ… On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Algorithms @ 4 Leadership @ 7 Communication @ 4 Jira @ 3 Debugging @ 4 Project Management @ 3

Details

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.

Responsibilities

  • 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.

Requirements

  • Minimum requirement of BSc or equivalent experience.
  • 8 years 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 skills.

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