Role at a glance
- Salary
- $152K – $241.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of relevant software development work experience
- Education
- Bachelor's or Master's in Computer Science or Computer Engineering or equivalent experience
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Role Summary
This role is part of NVIDIA's GPU architectural modelling team and focuses on software infrastructure for modeling, analyzing, and debugging large-scale graphics and computing chips. The infrastructure supports drivers, applications, tests, studies, simulations, emulations, and silicon across NVIDIA GPUs.
What You'll Do
- Develop core infrastructure for modeling, analyzing, and debugging large-scale graphics and computing chips.
- Run software applications directly on simulated GPUs in diverse environments.
- Gather instrumentation requirements from GPU architects researching next-generation improvements.
- Coordinate with GPU architects to enable functional and performance testing for the next architecture.
- Work with software teams to help deliver production-ready drivers when silicon goes to market.
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View full postingQualifications
Bachelor's or Master's in Computer Science or Computer Engineering or equivalent experience; 5+ years of relevant software development work experience; understanding of the software driver stack in compute or graphics; ability to work across GPU and driver stacks; strong C++ programming capability; knowledge of object-oriented build patterns.
Required
- Bachelor's or Master's in Computer Science or Computer Engineering or equivalent experience
- 5+ years of relevant software development work experience
- Understanding of the software driver stack, either in compute (CUDA) or graphics (DX, OpenGL, or Vulkan)
- Ability to work across the GPU and driver stacks
- Strong C++ programming capability
- Knowledge of object-oriented build patterns
Preferred
- Experience with chip and/or system simulation
- Strong scripting skills
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
Help build the future of GPU architecture as part of our GPU architectural modelling team. A core element of NVIDIA's success lies in our sophisticated development tools and simulation environments, which facilitate our rapid delivery of new technology to market. We are searching for transformative, diligent, and creative professionals to become part of a dynamic software team with rigorous production-quality standards. Our projects include building chip simulations in software, developing chip test authoring languages and tools, and driving performance enhancements. Nvidia persistently pushes forward the frontier of chip development tools and infrastructure to enable the next wave of chips. In this position, you will develop the core infrastructure for modeling, analyzing, and debugging large-scale, general-purpose graphics and computing chips. This infrastructure allows our driver stack, applications, tests, and studies to run unchanged on all functional, diagnostic, and performance models. It also supports simulations, emulations, and silicon for all our GPUs.
What you’ll be doing:
As a member of the team, you will play a critical part in every stage of development of a GPU
Thrive at the interface between software drivers and the GPU simulation
You will become the specialist for running SW applications directly on simulated GPUs in diverse environments
Gather instrumentation requirements from GPU architects who research next-gen improvements
You will coordinate with GPU architects to enable functional and performance testing for the next architecture
Work closely with SW teams to help them deliver production-ready drivers when silicon goes to market.
In this role, you will spectacularly improve the daily workflows of top chip modelers and designers to help produce the next greatest generation of GPUs.
What we need to see:
You have a Bachelor's or Master's in Computer Science or Computer Engineering or equivalent experience
5+ years of relevant software development work experience
You understand the software driver stack, either in compute (CUDA) or graphics (DX, OpenGL, or Vulkan)
Ability to work across the GPU and driver stacks
Strong C++ programming capability are required
Knowledge of object-oriented build patterns are required
Excellent interpersonal skills
Flexibility/adaptability for working in a dynamic environment with different frameworks and requirements
Ways to stand out from the crowd:
Experience with chip and/or system simulation
Strong scripting skills
#LI-Hybrid
You will also be eligible for equity and benefits.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.