Role at a glance
- Salary
- $152K – $287.5K/yr
- Location
- Remote - US - California
- Work arrangement
- Remote
- Employment
- Full-time
- Experience
- 5+ years of relevant experience.
- Education
- A BS or higher degree in a relevant field (CS, EE, Math) or equivalent experience
Spotted an issue?
We’ll check it against the original posting.
Role Summary
NVIDIA's AI inference team is seeking a Senior Deep Learning Hardware Modeling Architect to support hardware-software co-design for high-performance, efficient LLM inference. The role develops executable models of component-level and system-level designs used across NVIDIA and works across chip and hardware subsystems to address performance and correctness.
What You'll Do
- Drive architectural specifications to closure across multiple stakeholders.
- Develop written specifications for key component-level and system-level designs.
- Embody specifications in an executable model used by many customers across NVIDIA.
- Ensure high performance using C++ software practices, algorithms and data structures, and parallelism.
- Resolve performance and correctness issues across chip and hardware subsystems by working across teams.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
A BS or higher degree in a relevant field (CS, EE, Math) or equivalent experience; 5+ years of relevant experience; expert programming and software skills in C++; experience in RTL design and/or architecture; ability to understand common chip design concepts; an automation-centered mindset; desire to improve work efficiency using AI.
Required
- A BS or higher degree in a relevant field (CS, EE, Math) or equivalent experience
- 5+ years of relevant experience
- Expert programming and software skills in C++
- Experience in RTL design and/or architecture
- Ability to understand common chip design concepts
- An automation-centered mindset
- A desire to improve work efficiency using AI
Preferred
- Experience with systems-level/architectural/chip modeling, profiling, and analysis
- Strong combined RTL and C++ skillset
Original job description
Content provided by the employer
Original job description
Content provided by the employer
We are now looking for a Senior Deep Learning Hardware Modeling Architect!
NVIDIA seeks a Senior DL Hardware Modeling Architect to join our group of pioneers who are pushing the performance boundaries of AI inference. Our team focuses on ambitious hardware-software co-design to optimize AI inference speed and efficiency. This role gives an outstanding opportunity to model critical components of our world-class LLM inference solutions. If you are passionate about LLM inference hardware, want to contribute at the deepest levels to the state of the art, and have a proven record of C++ hardware modeling experience, this role may be perfect for you!
What you'll be doing:
Drive architectural specifications to closure across multiple stakeholders.
Develop written specifications for key component-level and system-level designs.
Embody specifications in an executable model used by many customers across NVIDIA.
Ensure high performance using good C++ software practices, solid algorithms and data structures, and parallelism.
Resolve performance and correctness issues across chip and hardware subsystems by working across teams.
What we need to see:
A BS or higher degree in a relevant field (CS, EE, Math) or equivalent experience, with 5+ years of relevant experience.
Expert programming and software skills in C++.
Experience in RTL design and/or architecture with the ability to understand common chip design concepts.
An automation-centered mindset.
A desire to improve work efficiency using AI.
Ways to stand out from the crowd:
Experience with systems-level/architectural/chip modeling, profiling, and analysis.
Strong combined RTL and C++ skillset.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.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.