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Nvidia Deep Learning Jobs in California (NOW HIRING)

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Nvidia Deep Learning information

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$82.8K

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How much do nvidia deep learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for nvidia deep learning in California is $82,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $137,200.00 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.

What are the most commonly searched types of Nvidia Deep Learning jobs in California? The most popular types of Nvidia Deep Learning jobs in California are:
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Nvidia Deep Learning jobs near you
Infographic showing various Nvidia Deep Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 64% Full Time, 30% Part Time, 3% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $82,787 per year, or $39.8 per hour.

Senior Software Engineer, Deep Learning Inference - TensorRT

Nvidia

Santa Clara, CA • Hybrid

$143K - $189K/yr

Full-time

Re-posted 7 hours ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

We are now looking for a Senior Software Engineer for Deep Learning Inference! Would you like to make a big impact in Deep Learning by helping build a state-of-the-art inference framework for accelerating Deep Learning models, especially Large Language Models, on NVIDIA GPUs? We are now welcoming exceptional software engineers to apply to Senior Engineering positions in the Deep Learning Inference TensorRT software team.

What you'll be doing:

  • Craft and develop robust inferencing software that can be scaled to multiple platforms for functionality and performance

  • Develop components of TensorRT, NVIDIA's SDK for high-performance deep learning inference.

  • Closely follow academic developments in the field of artificial intelligence and feature update TensorRT

  • Use C++ and Python to build graph parsers, optimizers, and tools for effective deployment of trained deep learning models.

  • Collaborate with teams of deep learning experts, GPU architects and DevOps engineers across diverse teams.

What we need to see:

  • A Bachelor's, Master's, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering or related field.

  • 3+ years of software development experience.

  • Strong experience with the latest C++ standardsC++11/C++14/C++17/C++20, etc..

  • Strong grasp of Machine Learning concepts.

  • Experience and knowledge in Computer Architecture, Data Structures, Algorithms.

  • Excellent communication skills, and an aptitude for collaboration and teamwork.

Ways to stand out from the crowd:

  • Experience developing System Software.

  • Proficiency in Python as well as Background in GPU kernel programming using CUDA or OpenCL.

  • Experience in software performance benchmarking, profiling, and optimizations.

  • Background in compiler development

  • Experience in working with TensorRT, PyTorch, TensorFlow, ONNX Runtime or other ML frameworks.

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. If you're creative, autonomous and love a challenge, we want to hear from you. Come, join our TensorRT Workflows team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

#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 9, 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

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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