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Salaried Deep Learning Jobs (NOW HIRING)

Nvidia

Senior GPU Architect, Deep Learning

Durham, NC · On-site

We are now looking for a Senior GPU & Deep Learning Architect! The NVIDIA GPU Architecture group is ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

SumerSports LLC

Senior Deep Learning Engineer

$155K - $185K/yr

... salary cap constraints. The platform also serves the NCAA, offering insights around the transfer ... Position Summary As a Senior Deep Learning Engineer on the Football Modeling side, you'll work ...

Nvidia

Senior GPU Architect, Deep Learning

Austin, TX · On-site

We are now looking for a Senior GPU & Deep Learning Architect! The NVIDIA GPU Architecture group is ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

Nvidia

The Deep Learning Inference team develops and optimizes open-source frameworks that make AI ... With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered ...

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How much do salaried deep learning jobs pay per year?

As of Aug 24, 2026, the average yearly pay for salaried 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 the difference between Salaried Deep Learning vs Salaried Machine Learning Engineer?

AspectSalaried Deep LearningSalaried Machine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fields; experience with neural networksMaster's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural network modelsTech companies, data-driven firms, AI product development teams
Employer & Industry UsagePrimarily in AI research, academia, and companies developing deep learning modelsAcross industries like finance, healthcare, and e-commerce implementing ML solutions

While both roles involve machine learning, Salaried Deep Learning specialists focus on neural network architectures and AI research, whereas Salaried Machine Learning Engineers work on broader ML applications and deployment across various industries.

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Salaried Deep Learning jobs near you
Infographic showing various Salaried Deep Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.

Senior GPU Architect, Deep Learning

Nvidia

Durham, NC • On-site

Full-time

Re-posted 21 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Job description

We are now looking for a Senior GPU & Deep Learning Architect!

The NVIDIA GPU Architecture group is looking for world class architects and software developers to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for deep learning and parallel processing algorithms. We are constantly looking for ways to improve our GPU architecture, especially for deep learning workloads, both training and inference, and maintain our leadership by developing new parallel programming models, and new architectures required to make this successful. In this position, you will be responsible for developing and enhancing various features in the GPU architecture that advance the state of the art in parallel programming models or parallel computing performance. You would interact with other world-class architects and researchers to build simulators, mapping deep learning workloads to current and future hardware, and validate new architectural features.

What you'll be doing:

  • Design new hardware features for future processing architectures targeted at deep learning workloads, for both training and inference.

  • Advance the state of parallel computation.

  • Be knowledgeable about future parallel programming models and their impact to hardware.

  • Develop software for various hardware simulators, test infrastructures or metrics systems including databases.

  • Work in a team to document, design, develop tools to analyze and simulate, validate, and verify functional or performance models.

  • Develop tests, testplans, and testing infrastructure for new graphics or parallel processing architectures

  • Be hungry to learn and work on simulators, RTL and real silicon.

What we need to see:

  • MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience.

  • Experience in working with hardware targeted at deep learning, or working on mapping deep learning algorithms to hardware.

  • 8+ years of relevant industry experience in GPU or other parallel programming architectures (or other equivalent experience).

  • Strong programming ability inC, C++, Perl andPython.

  • Background in computer architecture, parallel processing, signal processing and/or high performance computing.

  • Knowledge of state of the art in DL algorithms and attention mechanisms is a huge plus.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our GPU Architecture team and help us build the real-time, cost-effective AI computing platform driving our success in this exciting and quickly growing field.

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 4, and 224,000 USD - 356,500 USD for Level 5.

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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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