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Internship Cuda Programmer Jobs in California (NOW HIRING)

KLA Corporation

Senior Algorithm Engineer

Milpitas, CA

$136K - $231K/yr

CPU optimization (SSE/AVX) and GPU (CUDA) programming are among the highly desired skills too. The ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

... Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and ... Proficiency in CUDA programming and custom kernel development for LLM operations * Background in ...

Apple

SW ML Optimization Engineer

Cupertino, CA · On-site

Experience with GPU or parallel programming-e.g., Metal, OpenCL, CUDA, or similar-through coursework, personal projects, internships, or research. Experience with profiling/performance analysis tools ...

Atoms

Staff Machine Learning Engineer

San Francisco, CA · On-site

... CUDA) to minimize inference times under strict constraints. • Architect automated pipelines to ... Required : • 10+ years of non-internship professional MLE experience. • Deep expertise in ...

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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.

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Senior Research Scientist, Efficient Deep Learning

NVIDIA

Santa Clara, CA • On-site

$115K - $147K/yr

Full-time

Re-posted 5 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 243 rated software companies

Job description

Job Summary:
NVIDIA is searching for an outstanding Senior Researcher working on efficient deep learning to join our learning and perception research team. The role involves researching, designing, and implementing novel methods for efficient deep learning while collaborating with internal and external teams and mentoring interns.
Responsibilities:
• Research, design and implement novel methods for efficient deep learning.
• Publish original research. Speak at conferences and events.
• Collaborate on research with internal team members, internal teams as well as external researchers. Mentor interns.
• Work with product groups to transfer technology.
Qualifications:
Required:
• A Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent experience in industrial research labs.
• 3+ years or relevant post-graduate research experience
• Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.
• A background in pruning, quantization, NAS, efficient backbones is required.
• Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA).
• Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.
• An outstanding research track record and strong communications skills.
Preferred:
• Experience with large language models and large vision-language models is a plus.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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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