Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Software Development @ 3
Python @ 6
Hiring @ 3
Design Patterns @ 3
CUDA @ 3
GPU @ 3
AI @ 3
OpenGL @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing, where GPUs act as the brains of computers, robots, and self-driving cars. As an NVIDIAN, you will be immersed in a diverse, supportive environment focused on high-impact engineering.
Responsibilities
- Participate in every stage of GPU development and drive high-quality production software for chip development tools
- Work at the interface between software drivers and GPU simulation
- Run software applications directly on simulated GPUs across diverse environments
- Capture instrumentation requirements from GPU architects researching next-generation improvements
- Coordinate with GPU architects to enable functional and performance testing for next-gen architectures
- Collaborate closely with software teams to help deliver production-ready drivers when silicon ships
- Improve daily workflows of chip modelers and designers globally to support next-generation GPUs
Requirements
- Bachelor’s or Master’s in Computer Science, Computer Engineering, or equivalent experience
- 2+ years of relevant software development experience
- Strong C++ programming capability (required)
- Knowledge of object-oriented design patterns (required)
- Understanding of the software driver stack, either in compute (CUDA) or graphics (DX, OpenGL, or Vulkan)
- Ability to work across GPU and driver stacks
- Excellent interpersonal skills and adaptability to dynamic environments and differing frameworks/requirements
Ways to stand out
- Experience with chip and/or system simulation
- Strong Python scripting skills
- Experience with farm compute tools/techniques such as virtual machines, containers, and distributed programming
Compensation & Benefits
- Base salary ranges provided by level:
- Level 2: 124,000 USD - 195,500 USD
- Level 3: 152,000 USD - 241,500 USD
- Eligible for equity and company benefits (see NVIDIA benefits page)
Additional information
- Applications for this job will be accepted at least until March 27, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and values diversity in hiring and promotion practices.