Role at a glance
- Salary
- $184K – $356.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 12+ years of experience in the field.
- Education
- A Bachelor's Degree (or equivalent experience) in Computer Science, Electrical Engineering, Computer Engineering, or a related field
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The role develops modelling infrastructure for GPU and SOC models, including the tools, libraries, and environments used to model and simulate next-generation chip architectures. It supports architecture and engineering teams and helps enable the development, analysis, validation, and verification of hardware models.
What You'll Do
- Develop tools, libraries, and environments to model and simulate next-generation chip architectures.
- Support architecture and engineering teams building models on the modelling environment.
- Implement solutions to complex modelling problems.
- Guide teams modelling GPU features in using the environment to build hardware models.
- Document, develop, and build tools to analyze, simulate, validate, and verify models.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
12+ years of experience; a bachelor's degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field; strong C++ and C programming skills; knowledge of CMAKE, make, GCC, MSVC, STL, BOOST, SystemC, Transaction Level Modelling, Docker, Jenkins, Python, and Perl; computer architecture modeling experience; and clear communication in distributed teams.
Required
- 12+ years of experience
- Bachelor's degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field
- C++ and C
- CMAKE and make
- GCC and MSVC
- STL and BOOST
- Computer Architecture
- SystemC and Transaction Level Modelling (TLM)
Preferred
- Experience developing simulation models for major chip projects within the chip or EDA industry
- Familiarity with simulation and modelling tools from major EDA vendors
- Experience collaborating with teams across different time zones
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Are you passionate about coding, architecture, and creating models for hardware? This opportunity is outstanding as you will work at the forefront of technology. You will help build and improve the modelling infrastructure for GPU and SOC models. Your work will be essential in transforming software development on NVIDIA hardware for the company and our customers. Join us and contribute to something truly transformative!
What you will be doing:
Develop the tools, libraries, and environments to model and simulate next-generation chip architectures.
Support the architecture and engineering teams by enabling them to build their models on top of this advanced environment.
Successfully implement solutions to complex modelling problems using your expertise in SystemC, C++, and Architecture.
Guide and influence teams that model GPU features, ensuring they bring to bear the environment's features to build efficient hardware models.
Document, develop, and build tools to analyze, simulate, validate, and verify models with precision.
What we need to see:
12+ years of experience in the field.
A Bachelor's Degree (or equivalent experience) in Computer Science, Electrical Engineering, Computer Engineering, or a related field, along with 10+ years of relevant work experience.
Strong programming skills in C++ and C, coupled with a solid understanding of build systems (CMAKE, make), toolchains (GCC, MSVC), and libraries (STL, BOOST).
Proven background in Computer Architecture with experience in modeling using SystemC & Transaction Level Modelling (TLM).
Familiarity with Docker, Jenkins, Python, and Perl.
Ability to communicate clearly and constructively, engaging effectively within a distributed team environment.
Ways to stand out from the crowd:
Prior experience in developing simulation models for major chip projects within the chip or EDA industry.
Familiarity with simulation and modelling tools from major EDA vendors.
Experience collaborating with teams across different time zones, demonstrating a global perspective and adaptability.
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.