Manager, Deep Learning Algorithms

Sorry, this job was removed at 08:20 p.m. (CST) on Wednesday, Apr 22, 2026
Be an Early Applicant
Santa Clara, CA, USA
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

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 large scale LLM/VLM deployment, inference optimization, 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 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+ overall years related of overall experience, including 3 years of management/leadership experience

  • Experience leading multiple software engineering projects

  • Strong experience with Large Language Models (LLMs) and Large Visual-Language Models (VLMs) 

  • 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 inference platforms such as TensorRT-LLM, vLLM, and SGLang 

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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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.

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

Similar Jobs

Immersive Logo Immersive

Enterprise Account Manager

Enterprise Web • HR Tech • Information Technology • Software • Cybersecurity
Remote or Hybrid
United States
330 Employees
130K-160K Annually

Circle Logo Circle

Investor Relations Senior Manager

Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
In-Office or Remote
24 Locations
1050 Employees
185K-238K Annually

MongoDB Logo MongoDB

Senior Customer Success Manager

Big Data • Cloud • Software • Database
Easy Apply
Hybrid
San Francisco, CA, USA
5550 Employees
87K-172K Annually

MongoDB Logo MongoDB

Customer Success Manager

Big Data • Cloud • Software • Database
Easy Apply
Hybrid
2 Locations
5550 Employees
71K-139K Annually
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.”

Similar Companies Hiring

Fairly Even Thumbnail
Hardware • Other • Robotics • Sales • Software • Hospitality
New York, NY
30 Employees
Bellagent Thumbnail
Artificial Intelligence • Machine Learning • Business Intelligence • Generative AI
Chicago, IL
20 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account