Manager, Deep Learning Algorithms

Posted 7 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
345K-702K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead engineering activities for productizing Deep Learning models, mentoring team members, collaborating across units, and optimizing DL workloads.
Summary Generated by Built In

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.

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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 345,000 PLN - 598,000 PLN for Level 3, and 405,000 PLN - 702,000 PLN for Level 4.

Skills Required

  • Minimum BSc degree
  • 8 years of overall experience
  • 3 years of management experience
  • Experience leading multiple software engineering projects
  • Strong algorithms and DL skills
  • Excellent programming and debugging skills
  • Great communication skills
  • Experience with performance analysis and tuning
  • Exposure to hardware architecture
  • Experience with project management tools

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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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