Senior GPU Architect, Deep Learning

Overview We are now looking for a Senior GPU & Deep Learning Architect to join the NVIDIA GPU Architecture group. As a senior architect, you will lead architecture efforts for deep learning workloads, design new hardware features, advance parallel computation, and develop simulators and testing infrastructure. Responsibilities Design hardware features for future deep learning architectures targeting both training and inference workloads. Advance the state of parallel computation. Stay knowledgeable about future parallel programming models and their hardware impact. Develop software for hardware simulators, testing infrastructure, or metrics systems including databases. Collaborate in a team to document, design, develop tools to analyze and simulate, validate, and verify functional or performance models. Develop tests, test plans, and testing infrastructure for new graphics or parallel processing architectures. Work on simulators, RTL and real silicon. Qualifications MS in Computer Science, Electrical Engineering, Computer Engineering or equivalent experience. Experience in hardware for deep learning or mapping deep learning algorithms to hardware. 8+ years of industry experience in GPU or parallel programming architectures (or equivalent). Strong programming skills in C, C++, Perl and Python. Background in computer architecture, parallel processing, signal processing and/or HPC. Knowledge of state‑of‑the‑art DL algorithms and attention mechanisms is a plus. Benefits Base salary range: USD184,000–287,500 for Level4, USD224,000–356,500 for Level5. Eligible for equity and benefits. EEO Statement NVIDIA is committed to fostering a diverse work environment and is an equal‑opportunity employer. We do not discriminate 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