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Internship Computer Graphics Programmer Jobs in Sunnyvale, CA

EDA Workflow Optimization Engineer

Santa Clara, CA · Hybrid

$130K - $154K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... As an engineer in our EDA Workflow Optimization team, you will partner closely with our engineering ...

Our team delivers cutting-edge computer vision, machine learning, and graphics algorithms that ... Description We are looking for a CVML Engineer with deep expertise in multi-view geometry and ...

Our team delivers cutting-edge computer vision, machine learning, and graphics algorithms that ... Description We are looking for a CVML Engineer with deep expertise in multi-view geometry and ...

Senior Software Engineer - Simulation

Santa Clara, CA · On-site

$143K - $189K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. They are seeking a highly motivated and experienced Senior Software Engineer to join their ...

CV/ML Systems Integration Engineer

Sunnyvale, CA · On-site

$196K/yr

We are looking for a highly self-motivated and collaborative software engineer to work on prototyping, integration, and productization of software that combines computer vision, 3D computer graphics ...

Senior Software Engineer - Simulation

Santa Clara, CA · On-site

$143K - $189K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Excellent programming skills in languages such as C/C++, Python, and scripting languages.

Senior Software Engineer - Simulation

Santa Clara, CA · On-site

$143K - $189K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Excellent programming skills in languages such as C/C++, Python, and scripting languages.

Senior Software Engineer

San Mateo, CA · On-site

$193K - $289K/yr

Senior Software Engineer San Mateo, CA Role Overview Sony Interactive Entertainment LLC seeks a ... computer graphics, computer vision, and machine learning to evaluate feasibility of emerging ...

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Internship Computer Graphics Programmer information

See Sunnyvale, CA salary details

$38.7K

$76.3K

$112.1K

How much do internship computer graphics programmer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for internship computer graphics programmer in Sunnyvale, CA is $76,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,300.00 and $93,900.00 per year, depending on experience, location, and employer.

What kinds of projects do Computer Graphics Programmer interns typically work on, and how much creative input can they expect to have?

As a Computer Graphics Programmer intern, you can expect to work on a range of tasks such as implementing new rendering features, optimizing existing graphics pipelines, or supporting tool development for artists and designers. Interns often contribute to real codebases under the guidance of experienced engineers, which means your work can directly impact ongoing projects. While interns usually follow project requirements, there is often room to suggest improvements or experiment with new techniques, especially if you communicate your ideas effectively to your mentor or team. Collaboration with artists, designers, and senior programmers is common, providing a well-rounded view of the graphics pipeline and valuable feedback on your contributions.

What are the key skills and qualifications needed to thrive as an Internship Computer Graphics Programmer, and why are they important?

To thrive as an Internship Computer Graphics Programmer, you need a solid understanding of computer graphics principles, programming languages like C++ or Python, and coursework in mathematics or computer science. Familiarity with graphics APIs such as OpenGL, DirectX, or Vulkan, as well as experience with shader languages (GLSL/HLSL) and relevant development tools, is typically required. Strong problem-solving skills, creativity, and effective teamwork help interns contribute to complex visual projects and adapt to new challenges. These skills and qualities are crucial for efficiently developing and optimizing graphical features, collaborating with multidisciplinary teams, and learning rapidly in a fast-evolving field.

What does an Internship Computer Graphics Programmer do?

An Internship Computer Graphics Programmer assists in developing and optimizing visual elements for software, games, or simulations. They typically work with experienced graphics programmers to implement algorithms, shaders, and rendering techniques. Interns may be involved in tasks such as creating 2D/3D graphics, troubleshooting graphical issues, and learning about real-time rendering pipelines. This role is an opportunity to gain hands-on experience with graphics APIs and tools used in the industry.
EDA Workflow Optimization Engineer

EDA Workflow Optimization Engineer

Nvidia Corporation

Santa Clara, CA • On-site

$130K - $154K/yr

Full-time

Re-posted 25 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA reinvented itself over two decades, inventing the GPU in 1999 to reshape PC gaming and modern computer graphics. As an engineer in our EDA Workflow Optimization team, you will partner closely with our engineering teams worldwide. You will understand workflows covering the full chip design process from inception through study, architecture, design, verification, emulation, layout, packaging, power-on and production. You will then guide teams to improve, and sometimes re-invent those flows. You will enable our engineers to have the best tools on the planet to make the most innovative chips in the world. You will perform investigations to understand flaws and opportunities, construct metrics to continuously measure performance of our flows and services, and other infrastructure. You will work with your team of EDA and software experts to build new infrastructure in an agile, production software environment. You will continuously innovate and enhance scalable, reliable, high performance systems and tools to enable the next generation of chips!
What you'll be doing:
  • Work in a diverse team performing fast paced investigations to empower our engineers to develop at the speed of light.
  • Participate in the full life-cycle of tool development, test, and deployment.
  • Work closely with other team members and chip engineers to understand and optimize how workflows use the compute and storage environments.
  • Build metrics that are reliable and easy to use by hundreds of engineers around the world.
  • Continuously improve our chip development process.
  • Directly contribute to the overall quality and time to market for our next generation chips.

What we need to see:
  • Strong experience investigating and debugging complex, multi-discipline problems in a UNIX engineering environment.
  • Hands-on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on.
  • Experience with ASIC, VLSI, CAD/EDA or mixed signal design workflow environments.
  • Hands-on experience with EDA tools.
  • Experienced in UNIX Systems programming and automation using Python and/or Shell.
  • Authoritative level usage of UNIX and UNIX utilities.
  • Excellent planning and communication skills.
  • Experience in applying data analysis principles and influencing data-driven decisions.
  • Flexibility/adaptability working in a dynamic environment with changing requirements.
  • BS in Computer Science or equivalent experience; MS (preferred).
  • 5+yrs of relevant experience.

Ways to stand out from the crowd:
  • Experience with job schedulers (in particular IBM Spectrum LSF and/or SLURM).
  • Hands-on experience running GPU-based workloads in a batch computing environment and a deep understanding of distributed system principles.
  • Strong programming and debugging skills with C/C++, Python, and Perl on UNIX.
  • A passion for improving engineering productivity and efficiency via data-driven philosophy.

#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 April 26, 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

Hours and flexibility

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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

Year founded

1993