Job description

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. What you'll be doing: • 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 Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time. The era of AI has begun. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you! Come, join our DL Architecture team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. # 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 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits . 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.

Requirements

Must-haves

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.
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
You will also be eligible for equity and benefits .
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaillmpython

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