Senior Deep Learning Computer Architect

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 287,500; Full time

Job summary

A leading technology company in Santa Clara is seeking a Senior Deep Learning Computer Architect to design hardware architectures that advance state-of-the-art machine learning. In this role, you will analyze deep learning methods, collaborate with teams, and contribute to GPU features. Candidates should have a MS or PhD in a related field, over 5 years of relevant experience, and fluency in C++. Compensation ranges from 184,000 to 287,500 USD, with eligibility for equity and benefits.

Qualifications

• MS or PhD degree in computer science, computer architecture, electrical engineering or related field or equivalent experience.
• 5+ years of relevant experience in areas like computer architecture and performance analysis.
• Programming fluency with C++ and ideally Python.

Responsibilities

• Contribute to features that help next-generation GPUs advance the state of AI.
• Collaborate with teams including DL researchers, hardware architects, and software engineers.
• Analyze behavior of various deep learning methods and propose new features.

Skills

Computer architecture

Performance analysis and optimization

Programming fluency with C++

Deep learning frameworks like PyTorch

Experience with GPU computing (CUDA)

Education

MS or PhD degree in computer science or related field

Job description

Overview

We are now looking for a Senior Deep Learning Computer Architect! NVIDIA is seeking architects like you to help design hardware accelerator and processor architectures that enable state of the art machine learning and data analytics algorithms and applications on our next-generation mobile, embedded and datacenter platforms. This position offers you the opportunity to have a real impact in a dynamic, technology-focused company.

Responsibilities

• As a member of our deep learning architecture team, you will contribute to features that help next-generation GPUs advance the state of AI.
• This position requires you to keep up with the latest DL research and collaborate with diverse teams (internal and external to NVIDIA), including DL researchers, hardware architects, and software engineers.
• Your day to day work will include analyzing the behavior of various deep learning methods, proposing new features to accelerate or enable various methods, and studying the benefits of the proposed features.

What We Need To See

• MS or PhD degree in computer science, computer architecture, electrical engineering or related field or equivalent experience.
• 5+ years of relevant experience in at least a few of the following relevant areas is required in your work history:
• • Computer architecture, including GPU and system level architecture
  • Performance analysis and optimization
  • Experience with LLM workloads, including performance tuning considerations such as parallelization and fusion strategies;
  • Experience with core deep learning kernels such as matrix multiply, attention, and communication convolution
• Programming fluency with C++ and ideally Python
• Experience with GPU computing (CUDA)
• Experience with deep learning frameworks like PyTorch

Compensation and 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 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits.

Additional Information

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

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