Senior Deep Learning Computer Architect

Senior Deep Learning Computer Architect We are now looking for a Senior Deep Learning Computer Architect! NVIDIA is seeking architects who can help design hardware accelerator and processor architectures that enable state‑of‑the‑art machine learning and data analytics algorithms on our next‑generation mobile, embedded and datacenter platforms. What you'll be doing As a member of the 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), including DL researchers, hardware architects, and software engineers. Analyze the behavior of various deep learning methods, propose new features to accelerate or enable those methods, and study 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 areas: 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 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. Applications for this job will be accepted at least until January 13, 2026. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. 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. #J-18808-Ljbffr NVIDIA Gruppe