Senior Deep Learning Computer Architect
NVIDIA· Architect
Santa Clara, CA, Redmond, WA$184k - $287.5kfull-timePosted 7mo ago
About the role
Senior Deep Learning Computer Architect at NVIDIA designing hardware accelerator and processor architectures for state-of-the-art machine learning and data analytics across mobile, embedded, and datacenter platforms.
Responsibilities
- As a member of our deep learning architecture team, contribute to features that help next-generation GPUs advance the state of AI.
- 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.
- Analyze the behavior of various deep learning methods, propose new features to accelerate or enable various methods, and study the benefits of the proposed features.
Qualifications
- MS or PhD 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 areas: computer architecture (GPU and system level), performance analysis and optimization, experience with LLM workloads including performance tuning considerations (parallelization and fusion strategies), experience with core deep learning kernels (matrix multiply, attention, communication convolution).
- Programming fluency with C++ and ideally Python.
- Experience with GPU computing (CUDA).
- Experience with deep learning frameworks like PyTorch.
Skills
Required:Deep learning hardware architecture
Benefits
- base salary range 184,000 USD - 287,500 USD (base salary determined by location, experience, and pay of similar roles).
- equity
- benefits (see NVIDIA benefits page).
Last updated Jul 3, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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