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 ...
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 ...
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 ...
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 ...
Machine Learning Architect, Platform Architecture
$216K - $394K/yr
At Apple, our Platform Architecture group is responsible for connecting our hardware and software ... PyTorch) and efficient implementations of machine learning algorithms Pay & Benefits At Apple, base ...
Machine Learning Architect, Platform Architecture
$216K - $394K/yr
At Apple, our Platform Architecture group is responsible for connecting our hardware and software ... PyTorch) and efficient implementations of machine learning algorithms Pay & Benefits At Apple, base ...
... accelerating machine learning, automotive and high-performance computing applications. We are ... Hardware architecture end-to-end lifecycle ownership * Drive Architecture/Software/Hardware co ...
... accelerating machine learning, automotive and high-performance computing applications. We are ... Hardware architecture end-to-end lifecycle ownership * Drive Architecture/Software/Hardware co ...
... accelerating machine learning, automotive and high-performance computing applications. We are ... Hardware architecture end-to-end lifecycle ownership Drive Architecture/Software/Hardware co-design ...
... accelerating machine learning, automotive and high-performance computing applications. We are ... Hardware architecture end-to-end lifecycle ownership Drive Architecture/Software/Hardware co-design ...
... accelerating machine learning, automotive and high-performance computing applications. We are ... Hardware architecture end-to-end lifecycle ownership * Drive Architecture/Software/Hardware co ...
... accelerating machine learning, automotive and high-performance computing applications. We are ... Hardware architecture end-to-end lifecycle ownership * Drive Architecture/Software/Hardware co ...
... accelerating machine learning, automotive and high-performance computing applications. We are ... Hardware architecture end-to-end lifecycle ownership Drive Architecture/Software/Hardware co-design ...
... accelerating machine learning, automotive and high-performance computing applications. We are ... Hardware architecture end-to-end lifecycle ownership Drive Architecture/Software/Hardware co-design ...
AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations
Austin, TX · On-site
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry The Machine Learning Acceleration Fleet Operations Team is ...
AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations
Austin, TX · On-site
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry The Machine Learning Acceleration Fleet Operations Team is ...
AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations
Austin, TX · On-site
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry The Machine Learning Acceleration Fleet Operations Team is ...
AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations
Austin, TX · On-site
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry The Machine Learning Acceleration Fleet Operations Team is ...
Machine Learning Engineer
Phoenix, AZ · On-site
$130K - $150K/yr
JOB SUMMARY The role of Senior Machine Learning Engineer will architect and optimize real-time ... Responsibilities include eliminating hardware bottlenecks through CUDA kernel tuning and GPU ...
Machine Learning Engineer
Phoenix, AZ · On-site
$130K - $150K/yr
JOB SUMMARY The role of Senior Machine Learning Engineer will architect and optimize real-time ... Responsibilities include eliminating hardware bottlenecks through CUDA kernel tuning and GPU ...
C/C++ Hardware / Software Co-Design SDE, Machine Learning Acceleration Systems
Cupertino, CA · On-site
Working at the intersection of hardware and software, you'll collaborate closely with our architecture and design teams to co-develop the firmware and custom hardware that enables machine learning ...
C/C++ Hardware / Software Co-Design SDE, Machine Learning Acceleration Systems
Cupertino, CA · On-site
Working at the intersection of hardware and software, you'll collaborate closely with our architecture and design teams to co-develop the firmware and custom hardware that enables machine learning ...
C/C++ Hardware / Software Co-Design SDE, Machine Learning Acceleration Systems
Cupertino, CA · On-site
Working at the intersection of hardware and software, you'll collaborate closely with our architecture and design teams to co-develop the firmware and custom hardware that enables machine learning ...
C/C++ Hardware / Software Co-Design SDE, Machine Learning Acceleration Systems
Cupertino, CA · On-site
Working at the intersection of hardware and software, you'll collaborate closely with our architecture and design teams to co-develop the firmware and custom hardware that enables machine learning ...
Machine Learning Engineer
Fremont, CA · On-site
The role involves collaborating with hardware and software teams, optimizing models for embedded ... architecture. • Provide technical leadership and mentorship to junior engineers. • Publish ...
Machine Learning Engineer
Fremont, CA · On-site
The role involves collaborating with hardware and software teams, optimizing models for embedded ... architecture. • Provide technical leadership and mentorship to junior engineers. • Publish ...
The Junior Computer Vision & Machine Learning role involves optimizing algorithms for drone ... hardware architecture. • Conduct extensive testing and validation of computer vision algorithms ...
The Junior Computer Vision & Machine Learning role involves optimizing algorithms for drone ... hardware architecture. • Conduct extensive testing and validation of computer vision algorithms ...
The Junior Computer Vision & Machine Learning role involves developing and optimizing algorithms ... hardware architecture. • Conduct extensive testing and validation of computer vision algorithms ...
The Junior Computer Vision & Machine Learning role involves developing and optimizing algorithms ... hardware architecture. • Conduct extensive testing and validation of computer vision algorithms ...
Senior Principal Machine Learning Engineer
$147K - $202K/yr
... hardware architecture, including the RDU. This critical role bridges advanced LLM research and ... machine learning engineering, with a demonstrated record of technical leadership on large-scale or ...
Senior Principal Machine Learning Engineer
$147K - $202K/yr
... hardware architecture, including the RDU. This critical role bridges advanced LLM research and ... machine learning engineering, with a demonstrated record of technical leadership on large-scale or ...
The Staff Computer Vision & Machine Learning role involves leading the development of algorithms ... hardware architecture. • Conduct extensive testing and validation of computer vision algorithms ...
The Staff Computer Vision & Machine Learning role involves leading the development of algorithms ... hardware architecture. • Conduct extensive testing and validation of computer vision algorithms ...
As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers You'll provide leadership in the application of new ...
As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers You'll provide leadership in the application of new ...
As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers You'll provide leadership in the application of new ...
As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers You'll provide leadership in the application of new ...
As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new ...
As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new ...
Machine Learning Hardware Architect information
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Senior Deep Learning Hardware Modeling Architect - LPU
California, MO • On-site
Other
Posted 25 days ago
Nvidia rating
9.6
Based on 18 frontline employees who took The Breakroom Quiz
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.
- Embod e 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.
- 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.
#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.
Applications for this job will be accepted at least until June 8, 2026.
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 Nvidia
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US