Role at a glance
- Salary
- $184K – $356.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- A minimum of 10 years of relevant work experience in GPU or CPU System Architecture development
- Education
- Bachelors/Master’s/PhD in Computer Engineering, Computer Science or related fields (or equivalent experience)
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Role Summary
This role develops GPU architecture innovations and improvements, along with the modeling, testing, and design infrastructure used to evaluate new architectures and features. The position works across modeling, ASIC design, software, VLSI, packaging, systems engineering, and other functional teams to define solutions and validate performance, cost, yield, and scalability targets.
What You'll Do
- Develop GPU architecture innovations and improvements across scalability/modularity, performance, area, yield, effort, and schedule.
- Develop and enhance chip design infrastructure, including functional models, yield simulators, testbench components, and analysis tools.
- Develop tests, test plans, and testing infrastructure for new architectures and features.
- Implement and maintain functional, performance, and yield models.
- Document architecture specifications and work with ASIC design, software, and VLSI teams to review trade-offs, define solutions, and...
- Guide improvements to functional verification tools and expand resources to support future GPU architectures.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Bachelor’s, Master’s, or PhD in Computer Engineering, Computer Science, or related fields, or equivalent experience; a minimum of 10 years of relevant GPU or CPU System Architecture development experience; proficient C++ and Python programming; computer architecture and modeling experience; strong communication, interpersonal, problem-solving, and debugging skills.
Required
- Bachelor’s, Master’s, or PhD in Computer Engineering, Computer Science, or related fields, or equivalent experience
- A minimum of 10 years of relevant work experience in GPU or CPU System Architecture development
- Proficient programming skills in C++ and Python
- Solid background in Computer Architecture with experience in modeling
- Strong communication and interpersonal skills
- Strong problem-solving and debugging skills
Preferred
- Experience with GPU architecture and/or Network-on-Chip (NoC)/Interconnect
- Knowledge of system level functions such as reset and boot, DFT
- Track record of efficiently implementing complex architectural features
- Problem-solving focused on optimizing performance, area, complexity, and power
Original job description
Content provided by the employer
Original job description
Content provided by the employer
This is an outstanding opportunity to join a world-class team and play a pivotal role in crafting the future of GPU technology. At NVIDIA, you will work with dedicated individuals in an inclusive and collaborative environment where your hardworking nature will drive flawless execution and ambitious projects.
What you will be doing:
Develop GPU architecture innovations and improvements, optimizing along the axes of scalability/modularity, performance, area, yield, effort, and schedule.
Develop and enhance chip design infrastructure, including functional models and yield simulators, testbench components and analysis tools, to evaluate configurations under different constraints.
Develop tests, test plans and testing infrastructure for new architectures/ features
Work in a matrixed environment, across the different modeling teams, to document, design, develop tools to optimize chip yield and performance
Implement and maintain functional, performance, and yield models
Document architecture specifications; work with ASIC design, software, and VLSI teams to review and explore trade-offs, define solutions, and track progress.
Collaborate with other functional teams (Design, Floorplan, Packaging and Systems Engineering, etc) to validate choices against performance, cost, and scalability targets.
Guide the improvement of functional verification tools and expand other resources to support future GPU architectures
What we need to see:
Bachelors/Master’s/PhD in Computer Engineering, Computer Science or related fields (or equivalent experience)
A minimum of 10 years of relevant work experience in GPU or CPU System Architecture development
Proficient programming skills in C++ and Python.
Solid background in Computer Architecture with experience in modeling
Strong communication and interpersonal skills, as well as the ability to thrive in a dynamic, collaborative, distributed team.
Strong problem-solving and debugging skills, with a track record of driving issues to closure
Ways to stand out from the crowd:
Experience with GPU architecture and/or Network-on-Chip (NoC)/Interconnect. Knowledgeable in system level functions such as reset and boot, DFT.
Consistent track record of efficiently implementing complex architectural features
Outstanding problem-solving skills with a focus on optimizing performance, area, complexity, and power.
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.