ZipRecruiter

Log In

1

Salaried Deep Learning Jobs (NOW HIRING)

Nvidia

Deep Learning Compiler Engineer

Santa Clara, CA · On-site

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered ... Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location ...

Nvidia

Deep Learning Compiler Engineer

Redmond, WA · On-site

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered ... Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location ...

Nvidia

Senior Deep Learning Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered ... Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location ...

Nvidia

Deep Learning Compiler Engineer

Austin, TX · On-site

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered ... Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location ...

Nvidia

Deep Learning Compiler Engineer

Redmond, WA · On-site

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered ... Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location ...

Nvidia

Senior Deep Learning Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered ... Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location ...

Nvidia

Senior Deep Learning Compiler Engineer

OR · On-site +1

$104K - $143K/yr

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered ... Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location ...

Nvidia

Deep Learning Compiler Engineer

Austin, TX · On-site

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered ... Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location ...

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered ... Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location ...

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered ... Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location ...

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered ... Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location ...

previous pagenext page

Showing results 21-40

All JobsSalaried Deep Learning Jobs

Salaried Deep Learning information

See salary details

$11K

$83.9K

$140K

How much do salaried deep learning jobs pay per year?

As of Sep 12, 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.

More about Salaried Deep Learning jobs

What cities are hiring for Salaried Deep Learning jobs?

Cities with the most Salaried Deep Learning job openings:

What are the most commonly searched types of Deep Learning jobs?

The most popular types of Deep Learning jobs are:

What states have the most Salaried Deep Learning jobs?

States with the most job openings for Salaried Deep Learning jobs include:

What job categories do people searching Salaried Deep Learning jobs look for?

The top searched job categories for Salaried Deep Learning jobs are:

What other helpful pages are available for Salaried Deep Learning?

Other pages related to Salaried Deep Learning:

Salaried Deep Learning jobs near you
Infographic showing various Salaried Deep Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.

Deep Learning Compiler Engineer

Santa Clara, CA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

Full-time

Posted 23 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

Come join the team and see how you can make a lasting impact on the world. We are hiring software engineers for the Tensor IR & CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models, recommendation systems, speech recognition, image classification and other areas.

Come join us to work with a top-notch team and have broad impact across the entire deep learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped with CUDA 13.1, and TensorIR is an open-source compiler infrastructure project that uses CUDA Tile to generate high-performance GPU kernels

You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize the performance of tile-based kernels to ensure they execute efficiently across multiple generations of NVIDIA GPU architectures. The scope of these efforts includes defining public APIs, crafting and implementing compiler and optimization techniques, performance optimization, and other general software engineering work. What we need to see: Bachelors, Masters or Ph.D

in Computer Science, Computer Engineering or a related field (or equivalent experience) 3+ years of relevant work or research experience in compiler optimization, performance analysis and IR design. Ability to work independently, define project goals and scope, and lead your own development effort. Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.

Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team. Ways to stand out from the crowd: Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience.

Experience with the following technologies: MLIR, LLVM, XLA, TVM and deep learning models and algorithms. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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. #deeplearning.

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

View All Nvidia Jobs

Apply