Role at a glance
- Salary
- $152K – $287.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of relevant work experience.
- Education
- Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related relevant field (or equivalent experience).
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Role Summary
The NVIDIA Architecture Modeling group is seeking architects, functional modeling engineers, and simulation experts for architecture efforts across GPU and SoC teams. The role focuses on modeling, analyzing, and validating chip and system architectures and features for performance and efficiency across datacenter, automotive, and client products.
What You'll Do
- Model and analyze SoC and systems algorithms and features
- Build and deliver SoC platforms that enable software-team left shift in alignment with project milestones
- Work with SoC architects and guide modeling teams in delivering functional models for SoC and GPU use cases
- Collaborate with EDA partners on customer-facing technologies
- Develop tests, test plans, testing infrastructure, and code coverage analysis and reporting
- Coordinate alignment among NVIDIA modeling teams, GPU modeling teams, and overseas modeling teams
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related relevant field (or equivalent experience), with 5+ years of relevant work experience. Strong programming ability in C++ and C; understanding of CMAKE, make, GCC, MSVC, STL, and BOOST. Computer Architecture background; experience with SystemC and TLM preferred. Familiarity with Docker, Jenkins, Python, and Perl. Excellent communication and interpersonal skills; ability to work in a distributed team environment.
Required
- Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related relevant field (or equivalent experience)
- 5+ years of relevant work experience
- Strong programming ability in C++ and C
- Understanding of build systems CMAKE and make, toolchains GCC and MSVC, and libraries STL and BOOST
- Computer Architecture background
- Excellent communication and interpersonal skills
- Ability to work in a distributed team environment
Preferred
- Experience in modelling with SystemC and TLM
- Familiarity with Docker, Jenkins, Python, and Perl
Original job description
Content provided by the employer
Original job description
Content provided by the employer
NVIDIA Architecture Modeling group is looking for Architects, Functional Modeling Engineers, and Simulation experts to join various architecture efforts across GPU/ SOC Architecture teams. A key part of NVIDIA's strength is to innovate in parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our SoC and Systems architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip & system architectures and features that advance the state of art in performance and efficiency.
What you'll be doing:
Modeling and analysis of SoC & Systems algorithms and features, across datacenter, automotive, and client products
Build and deliver platforms for SOC's that enable left shift for the SW teams aligned with project milestones
Work closely with the SOC architects and guide modeling teams to deliver high-quality functional models that involve SOC+GPU use cases
Collaborate with our EDA partners to align on customer-facing technologies
Develop tests, test plans, and testing infrastructure for new architectures/features and code coverage analysis and reporting
Ensure alignment between the various modeling teams at NVIDIA, GPU modeling teams, and modeling teams overseas
What we need to see:
Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related relevant field (or equivalent experience) with 5+ years of relevant work experience.
Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make) , toolchains (GCC, MSVC) and libraries (STL, BOOST)
Computer Architecture background with experience in modelling with SystemC & TLM preferred
Familiarity with Docker, Jenkins, Python, Perl
Excellent communication and interpersonal skills and ability to work in a distributed team environment
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.