ZipRecruiter

Log In

1

Internship Cuda Programmer Jobs in California (NOW HIRING)

Atoms

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

... CUDA) to minimize inference times under strict constraints. • Architect automated pipelines to ... Required : • 4+ years of non-internship professional MLE experience. • Deep expertise in ...

Atoms

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

... CUDA) to minimize inference times under strict constraints. • Architect automated pipelines to ... Required : • 4+ years of non-internship professional MLE experience. • Deep expertise in ...

Atoms

Staff Machine Learning Engineer

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

What we're looking for * 10+ years of non-internship professional MLE experience. * Deep expertise ... Benchmark and deploy models utilizing hardware-accelerated runtimes (e.g., TensorRT, CUDA) to ...

ATOMS Careers page

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

What we're looking for * 4+ years of non-internship professional MLE experience. * Deep expertise ... Benchmark and deploy models utilizing hardware-accelerated runtimes (e.g., TensorRT, CUDA) to ...

previous page

Showing results 41-60

All JobsCuda Programmer JobsInternship Cuda Programmer JobsInternship Cuda Programmer Jobs in California

Internship Cuda Programmer information

What is the difference between Internship Cuda Programmer vs Cuda Developer?

AspectInternship Cuda ProgrammerCuda Developer
CredentialsEnrolled in or recent graduate of Computer Science or related fieldBachelor's or higher in Computer Science, with experience in CUDA programming
Work EnvironmentInternship setting, learning-focused, entry-level projectsFull-time professional role, developing complex GPU-accelerated applications
Industry UsageResearch labs, tech companies, internships for skill developmentTech firms, gaming, scientific computing, high-performance computing

While an Internship Cuda Programmer is typically a learning position for students or recent graduates gaining foundational experience, a Cuda Developer is a full-time professional responsible for designing and optimizing GPU-accelerated software. The roles differ mainly in experience level, responsibilities, and career stage, but both require knowledge of CUDA programming and GPU architecture.

What are the most commonly searched types of Cuda Programmer jobs in California? The most popular types of Cuda Programmer jobs in California are:
What are popular job titles related to Internship Cuda Programmer jobs in California? For Internship Cuda Programmer jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship Cuda Programmer jobs in California look for? The top searched job categories for Internship Cuda Programmer jobs in California are:
What cities in California are hiring for Internship Cuda Programmer jobs? Cities in California with the most Internship Cuda Programmer job openings:
Internship Cuda Programmer jobs near you

Senior Research Engineer - Enterprise Products

Nvidia

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Re-posted 2 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 Research Engineer passionate about Generative AI inference. Are you excited to change the way people infuse AI into products and services? NVIDIA is at the forefront of generative AI models, from language to images. NVIDIA provides building blocks to democratize AI and make generative AI easy to develop, integrate, and deploy. Our team is dedicated to developing optimized inferencing technologies to support our growing generative AI needs. We contribute to all steps of the machine learning lifecycle: from conceptualization, to applied research, engineering for optimized inference, and deployment. Collaborate with research teams, engineers, and open-source community.

What you will be doing:

  • Design and evaluate routing policies for LLM traffic to best use mixture of model systems.

  • Build and run agentic benchmarks (e.g., Terminal-Bench ) to measure algorithm quality, and turn results into calibration data and routing profiles

  • Ship to an open-source repo: design docs, code review, docs, and community contributions

  • Collaborating with engineering teams across all of NVIDIA to ensure our software integrates seamlessly up and down the NVIDIA accelerated serving stack.

What we need to see:

  • Bachelor's of Master's degree in Computer Science or equivalent experience.

  • 8+ years of industry experience in Deep Learning frameworks (PyTorch or TensorFlow).

  • Experience designing or running LLM evaluations/benchmarks - ideally agentic ones - and drawing statistically sound conclusions from them

  • Understanding of modern techniques in Machine Learning, Deep Neural Networks, Natural Language Processing, or Speech Recognition.

  • Empirical research mindset: forming hypotheses about new algorithms, running calibrations, iterating on results

  • Strong communication and interpersonal skills, along with the ability to work in a dynamic and distributed team. A history of mentoring junior engineers and interns is a huge plus.

  • A desire to constantly grow and learn new things.

  • Strong computer science fundamentals - algorithms and data structures, computational complexity, parallel and distributed computing, system software.

Ways to stand out from a crowd:

  • Experience architecting or developing large-scale distributed systems for deep learning.

  • Agentic benchmark creation and publications.

  • Knowledge of CPU and/or GPU architecture.

  • GPU programming (CUDA).

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 14, 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

View All Nvidia Jobs

Apply