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Deep Learning Ai Job Jobs (NOW HIRING)

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI, and cloud-based AI infrastructure. Responsibilities * Build and enhance machine learning models ...

Toyon

Deep Learning Algorithm Developer

Goleta, CA

$120K - $200K/yr

Our researchers apply AI/ML techniques to develop data processing automation solutions for problems ... Requirements Candidates for the Deep Learning Algorithm Developer position should have a strong ...

Toyon

Deep Learning Algorithm Developer

Fort Collins, CO

$100K - $190K/yr

Our researchers apply AI/ML techniques to develop data processing automation and control solutions ... Requirements Candidates for the Deep Learning Algorithm Developer position should have a strong ...

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How much do deep learning ai job jobs pay per year?

As of Aug 19, 2026, the average yearly pay for deep learning ai job 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.
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Deep Learning Ai Job jobs near you
Infographic showing various Deep Learning Ai Job job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 23% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.

Senior Deep Learning Performance Architect

Nvidia

Redmond, WA

$187K/yr

Full-time

Re-posted 7 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 245 rated software companies

Job description

We are now seeking a Senior Deep Learning Performance Architect!

NVIDIA is looking for outstanding Performance Architects with a background in performance analysis, performance modeling, and AI/deep learning 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 architectures to extend the state of the art in deep learning performance and efficiency

  • Analyze performance, cost and power trade-offs by developing analytical models, simulators and test suites

  • Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications

  • Develop, analyze, and harness groundbreaking Deep Learning frameworks, libraries, and compilers

  • Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW

What we need to see:

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

  • 6+ years of meaningful work experience

  • Strong background in GPU or Deep Learning ASIC architecture for training and/or inference

  • Experience with performance modeling, architecture simulation, profiling, and analysis

  • Solid foundation in machine learning and deep learning

  • Strong programming skills in Python, C, C++

Ways to stand out from the crowd:

  • Background with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, JAX, TensorRT)

  • Experience with relevant libraries, compilers, and languages - CUDNN, CUBLAS, CUTLASS, MLIR, Triton, CUDA, OpenCL

  • Experience with the architecture of or workload analysis on other DL accelerators

  • Demonstration of self-motivation, with a knack for critical thinking and thinking outside the box

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, efficient 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 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

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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