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Nvidia Deep Learning Jobs (NOW HIRING)

NVIDIA

Manager, Deep Learning Algorithms

Santa Clara, CA · On-site

$133K - $136K/yr

NVIDIA is seeking an engineering manager to lead engineering activities related to productizing Deep Learning models. In this role, you will mentor engineers, coordinate projects across different ...

Nvidia

Senior Deep Learning Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ...

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How much do nvidia deep learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for nvidia deep learning in the United States is $83,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $139,000.00 per year, depending on experience, location, and employer.

What is an Nvidia Deep Learning job?

An Nvidia Deep Learning job typically involves working with AI, machine learning, and deep learning technologies to develop, optimize, and deploy neural network models. Employees in these roles may work on GPU acceleration, AI frameworks like TensorFlow and PyTorch, and specialized hardware like NVIDIA GPUs and TensorRT. Positions can range from research scientists and software engineers to AI infrastructure specialists, focusing on improving model performance and scalability. These professionals contribute to cutting-edge AI applications in fields like autonomous vehicles, healthcare, and robotics.

What are the main challenges faced by professionals working in Nvidia Deep Learning roles?

Professionals in Nvidia Deep Learning positions often encounter challenges such as optimizing deep learning models to run efficiently on GPU architectures, keeping up with rapidly evolving AI frameworks, and troubleshooting complex system-level integration issues. They may also need to balance tight project deadlines with the demands of rigorous research and experimentation. Collaboration with interdisciplinary teams—such as software developers, data scientists, and hardware engineers—is common and essential to deliver robust solutions. Overcoming these challenges helps professionals stay at the forefront of innovation in the AI and deep learning industry.

What are the key skills and qualifications needed to thrive in the Nvidia Deep Learning position, and why are they important?

Excelling in an Nvidia Deep Learning role requires a strong background in computer science, machine learning, and mathematics, often supported by an advanced degree in a related field. Expertise in deep learning frameworks (such as TensorFlow or PyTorch), CUDA programming, and experience with Nvidia GPU hardware are typically expected, along with relevant certifications like Nvidia Deep Learning Institute credentials. Strong analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this position. These skills are crucial to efficiently develop, optimize, and deploy deep learning models leveraging Nvidia technologies in cutting-edge applications.

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Nvidia Deep Learning jobs near you
Infographic showing various Nvidia Deep Learning job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.
Manager, Deep Learning Algorithms

Manager, Deep Learning Algorithms

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 10 days ago

Job description

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
  • About 10% travel is required for this job. You will be traveling 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 184,000 USD - 287,500 USD for Level 2, and 224,000 USD - 356,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until January 31, 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.
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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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