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Deep Learning Hardware Engineer Jobs (NOW HIRING)

We are now looking for a Senior Deep Learning Hardware Modeling Architect! NVIDIA seeks a Senior DL ... Expert programming and software skills in C++. * Experience in RTL design and/or architecture with ...

Senior Deep Learning Engineer

Austin, TX · On-site +1

$130K - $180K/yr

As part of our group, you'll collaborate with hardware and software engineers to design, develop ... We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus ...

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the ... A budget for whatever hardware or software will make you most effective. * Regular tech talks to ...

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the ... A budget for whatever hardware or software will make you most effective. * Regular tech talks to ...

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the ... A budget for whatever hardware or software will make you most effective. * Regular tech talks to ...

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the ... A budget for whatever hardware or software will make you most effective. * Regular tech talks to ...

... hardware. Requirements * 3+ years of relevant experience in deep learning and/or DSP engineering ... Strong experience with Python and PyTorch (or other deep learning frameworks). * A background in ...

Deep Learning Engineer As a Deep Learning Engineer at Carbon Robotics, you will contribute to designing, developing, and deploying novel deep learning systems that power our autonomous laser weeding ...

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Deep Learning Hardware Engineer information

See salary details

$51K

$146.2K

$196.5K

How much do deep learning hardware engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for deep learning hardware engineer in the United States is $146,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $163,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Deep Learning Hardware Engineer jobs?

For Deep Learning Hardware Engineer jobs, the most frequently searched job titles are:

Senior Deep Learning Hardware Modeling Architect - LPU

OR • On-site, Remote

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Posted 15 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

We are now looking for a Senior Deep Learning Hardware Modeling Architect. NVIDIA seeks a Senior DL Hardware Modeling Architect to join our group of pioneers who are pushing the performance boundaries of AI inference. Our team focuses on ambitious hardware-software co-design to optimize AI inference speed and efficiency.

This role gives an outstanding opportunity to model critical components of our world-class LLM inference solutions. If you are passionate about LLM inference hardware, want to contribute at the deepest levels to the state of the art, and have a proven record of C++ hardware modeling experience, this role may be perfect for you. What you'll be doing: Drive architectural specifications to closure across multiple stakeholders.

Develop written specifications for key component-level and system-level designs. Embody specifications in an executable model used by many customers across NVIDIA. Ensure high performance using good C++ software practices, solid algorithms and data structures, and parallelism.

Resolve performance and correctness issues across chip and hardware subsystems by working across teams. What we need to see: A BS or higher degree in a relevant field (CS, EE, Math) or equivalent experience, with 5+ years of relevant experience. Expert programming and software skills in C++.

Experience in RTL design and/or architecture with the ability to understand common chip design concepts. An automation-centered mindset. A desire to improve work efficiency using AI.

Ways to stand out from the crowd: Experience with systems-level/architectural/chip modeling, profiling, and analysis. Strong combined RTL and C++ skillset. #LI-Hybrid 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 for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 10, 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.


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