Senior Computer Architect - Deep Learning

We are now looking for a Deep Learning Computer Architect!

NVIDIA is seeking architects 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.

• Contribute to features that help next‑generation GPUs advance the state of AI as part of the deep learning architecture team.
• Keep up with the latest deep learning research and collaborate with diverse teams, 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.

• 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
• Performance analysis and optimization
• Experience with deep learning workloads, including performance tuning such as parallelization and fusion strategies
• Experience with core deep learning kernels such as matrix multiply and convolution
• Programming fluency with C++ and ideally Python
• Experience with GPU computing (CUDA)
• Experience with deep learning frameworks like Py Torch

The base salary range is 180,000 USD - 419,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

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.