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Nvidia Deep Learning Jobs (NOW HIRING)

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX

$103K - $142K/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 ...

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA

$117K - $160K/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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Nvidia Deep Learning information

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$11K

$83.9K

$140K

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.
Senior Software Architect - Data Center Systems (Oregon)

Senior Software Architect - Data Center Systems (Oregon)

NVIDIA

Oregon, WI • On-site

$272K - $431K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Overview

We are building innovative server systems for GPU accelerated applications, such as Deep Learning. The Data Center Software team architects and develops the end-to-end software and firmware stack for these systems. We are looking for a Senior Software Architect who has deep expertise in designing server platforms and an added understanding of application use cases in Deep Learning workloads. You will work with world class engineering teams, product management, Operations and Customer support to build systems that will truly delight our customers.

What You’ll Be Doing
  • You will lead software activities for NVIDIA's deep learning server platforms, from design through production; collaborating with teams across the company to deliver software solutions
  • Drive the system architecture for a complex server platform in a multi-functional environment.
  • Partner across application software, libraries, system software and firmware teams to design complete software solutions for new server platforms.
  • Work directly with major customers to understand their requirements and work to align their roadmap with NVIDIA’s roadmap.
  • Work with business partners and vendors to shape their products to meet NVIDIA’s needs.
  • Develop a roadmap of new technologies and protocols and drive their design and adoption.
  • Mentor architects and engineering teams to grow them into future leaders.
  • Make key technical decisions for designs involving complex inter‑component dependencies.
What We Need To See
  • Deep experience in designing architecture for scalable and performant server systems, particularly at the SW/HW interface.
  • Understanding of HPC or Deep learning workloads and use of accelerated computing platforms.
  • Expertise in Out of Band and In‑band management architectures.
  • Knowledge of server system architecture and implications of architecture decisions on overall performance of end applications.
  • Demonstrable experience in implementing left shift strategy to de‑risk program execution.
  • Excellent written and verbal communication skills.
  • BS or MS degree in Computer Engineering, Computer Science, or related degree or equivalent experience.
  • 10+ years in the area of System architecture and design.
Ways To Stand Out From The Crowd
  • Knowledge of cloud and cluster level deployment and management systems.
  • Strong background of device management protocols such as Redfish, IPMI, MCTP, PLDM and RDE.
  • Knowledge in storage and networking technologies.
Salary & Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $224,000 USD – $356,500 USD for Level 5, and $272,000 USD – $431,250 USD for Level 6. You will also be eligible for equity and benefits.

Application Information

Applications for this job will be accepted at least until April 6, 2026.

Equal Opportunity Employer

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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