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Home Based Nvidia Machine Learning Jobs in California

Nvidia

Solutions Architect, AI and ML

Santa Clara, CA · On-site

$74 - $97.50/hr

... Machine Learning (ML) , Deep Learning (DL), data analytics solutions on various Cloud Computing ... Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.

Orchard

Machine Learning Engineer

San Francisco, CA · On-site

The Machine Learning Engineer will develop solutions for machine learning and computer vision ... NVIDIA Jetson. • Experience prototyping, evaluating, or deploying new ML/CV models on the edge.

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

  • Retirement

... from home one or more days per week. This position will be filled at either level based on ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

  • Retirement

... work from home one or more days per week. This position will be filled at eitherlevel based on ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

$9.7K/wk

  • Retirement

... from home one or more days per week. This position will be filled at either level based on ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

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Senior Deep Learning Kernel Software Performance Architect

Nvidia Corporation

Santa Clara, CA • On-site

$152K - $206K/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 244 rated software companies

Job description

We are now looking for a Senior Kernel Performance Architect for Deep Learning Software!
NVIDIA is seeking extraordinary architects to develop processor and system architectures that accelerate machine learning, data analytics and high-performance computing applications. This position offers the chance to create a meaningful impact in a dynamic, technology-focused company.
What you will be doing:
  • Craft GPU-accelerated system architectures that push the boundaries of deep learning performance.
  • Prototype high-performance software for deep learning and data analytics workloads.
  • Analyze, visualize, and optimize software performance using analytical models, simulators, and test suites.
  • Collaborate closely across NVIDIA teams such as:
    • CUDA Compiler teams to identify performance issues.
    • AI/ML training and inference performance teams to identify and optimize critical deep learning layers.
    • hardware architecture performance teams to define expectation for emerging deep learning hardware features.

What we need to see:
  • A Master's or PhD in Computer Science, Electrical Engineering or Computer Engineering, or equivalent experience.
  • 5+ years of relevant industry or research experience.
  • A strong foundation in machine learning and deep learning fundamentals to complement your expertise in computer architecture.
  • A strong background in high performance kernel (such as CUTLASS), work experience on math library performance analysis and profiling to identify performance bottlenecks.
  • Fluency in programming languages such as Python, C, C++.
  • Experience and familiarity with GPU computing and parallel programming models.
  • You have firsthand work experience with analytical performance modeling, profiling, and analysis.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative architect interested in pushing silicon to its highest performance? If so, we want to hear from you! Come, join our DL Architecture team and help build the real-time, cost-effective AI computing platform driving our success in this exciting and quickly 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 152,000 USD - 218,500 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 January 17, 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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