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Salaried Deep Learning Jobs (NOW HIRING)

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 22, 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 Deep Learning Performance Architect

Nvidia Corporation

Santa Clara, CA • On-site

$196K/yr

Full-time

Re-posted 20 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 Deep Learning Performance Architect!
NVIDIA is seeking outstanding Performance Analysis Architects to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications.
What you'll be doing:
  • Develop innovative HW architectures to extend the state of the art in parallel computing performance, energy efficiency and programmability.
  • Benchmark and analyze AI workloads in single and multi-node configurations.
  • Develop high level simulator and analysis tools in C++/Python.
  • Evaluate PPA (performance, power, area) for hardware features and system-level architectural trade-offs.
  • Work closely with peer architecture teams and product management to guide development of the products.
  • Keep abreast with emerging trends and research in deep learning.

What we need to see:
  • MS or PhD in a relevant discipline (Computer Science, Electrical Engineering, Computer Engineering, etc) or equivalent experience.
  • 4+ years of experience in parallel computing architectures, interconnect fabrics and deep learning applications.
  • Background in GPU or Deep Learning ASIC architecture evaluation for training and/or inference.
  • Strong programming skills in Python and C++.

Ways to stand out from the crowd:
  • Solid fundamental knowledge in computer architecture and interconnect fabrics.
  • Understanding of modern transformer-based model architectures.
  • Ability to simplify and communicate rich technical concepts to non-technical audience.
  • Have a curious demeanor with excellent problem-solving skills.

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. NVIDIA's GPUs run AI algorithms, simulating human intelligence, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world. Increasingly known as "the AI computing company", NVIDIA wants you. Come, join our Deep Learning Architecture team, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly 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.
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

Nvidia logo

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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