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Machine Learning Hardware Architect Jobs (NOW HIRING)

... accelerating machine learning, automotive and high-performance computing applications. We are ... Hardware architecture end-to-end lifecycle ownership * Drive Architecture/Software/Hardware co ...

... accelerating machine learning, automotive and high-performance computing applications. We are ... Hardware architecture end-to-end lifecycle ownership Drive Architecture/Software/Hardware co-design ...

... accelerating machine learning, automotive and high-performance computing applications. We are ... Hardware architecture end-to-end lifecycle ownership Drive Architecture/Software/Hardware co-design ...

Machine Learning Engineer

Phoenix, AZ · On-site

$130K - $150K/yr

JOB SUMMARY The role of Senior Machine Learning Engineer will architect and optimize real-time ... Responsibilities include eliminating hardware bottlenecks through CUDA kernel tuning and GPU ...

The role involves collaborating with hardware and software teams, optimizing models for embedded ... architecture. • Provide technical leadership and mentorship to junior engineers. • Publish ...

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Infographic showing various Machine Learning Hardware Architect job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Senior Deep Learning Hardware Modeling Architect - LPU

California, MO • On-site

NVIDIA Gruppe
Computer and Electronic Product Manufacturing • 10K+ employees

Other

Posted 25 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.
  • Embod e 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 June 8, 2026.

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.

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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