Verified Job
Engineering - Architecture
NVIDIA Senior Deep Learning Hardware Modeling Architect - LPU
Engineering - Architecture
#802800
Remote / WFH
NVIDIA
Job Description
Job highlights
Identified by Google from the original job post
Qualifications
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
Experience with systems-level/architectural/chip modeling, profiling, and analysis
Strong combined RTL and C++ skillset
Benefits
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
Responsibilities
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!
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
Job description
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.
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.
Applications for this job will be accepted at least until August 10, 2026.
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, ****** orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
, , JR2019216
Identified by Google from the original job post
Qualifications
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
Experience with systems-level/architectural/chip modeling, profiling, and analysis
Strong combined RTL and C++ skillset
Benefits
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
Responsibilities
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!
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
Job description
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.
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.
Applications for this job will be accepted at least until August 10, 2026.
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, ****** orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
, , JR2019216
