Senior Deep Learning Architect

Nvidia Corporation in; Santa Clara (CA); On-site; USD 224,000 - 357,000; Full time

Job summary

NVIDIA is seeking a Senior Deep Learning Architect to optimize AI workloads and contribute to the future of its hardware architecture. This influential role involves collaboration across teams to drive AI advancements, suitable for individuals with a strong background in computer architecture and AI algorithms.

Benefits

Equity

Benefits

Qualifications

• 5+ years with a PhD or 8+ years with an MS in relevant fields.
• Strong experience with high-performance processors.
• Familiarity with state-of-the-art hardware platforms.

Responsibilities

• Analyze and optimize AI training workloads.
• Guide development of AI accelerators and systems.
• Develop performance models for computing systems.

Skills

C++

Python

Computer architecture

AI algorithms

Performance modeling

GPU computing

Education

PhD in Computer Science, Electrical Engineering or equivalent

MS in Computer Science, Electrical Engineering or equivalent

Job description

Senior Deep Learning Architect (Finance)

We are now looking for a Senior Deep Learning Architect!

NVIDIA is seeking experienced computer architects to help design the next generation of our accelerator and system architecture to enable compelling AI performance and efficiency improvements. This role offers the opportunity to directly impact the future hardware roadmap in a fast-growing technology company that leads the AI revolution.

What you'll be doing:

• Understand, analyze, profile, and optimize AI training workloads on state-of-the-art hardware and software platforms.
• Guide development of future generations of artificial intelligence accelerators and systems.
• Develop detailed performance models and simulator infrastructure for computing systems accelerating AI training, and implement and evaluate hardware feature proposals.
• Collaborate across the company to guide the direction of machine learning at NVIDIA; spanning teams from hardware to software and research to production.
• Drive HW/SW co-design of NVIDIA's full deep learning platform stack, from silicon to DL frameworks.

What we'd like to see:

• PhD in CS, EE or CSEE and 5+ years; or MS (or equivalent experience) and 8+ years of relevant work experience.
• Strong background in computer architecture, with a proven track record of architecting features in shipping high-performance processors.
• Background in artificial intelligence and large language models, in particular training algorithms and workloads.
• Experience analyzing and tuning application performance on state-of-the-art hardware.
• Experience with processor and system-level performance modelling, simulation, and evaluation before silicon exists.
• Programming skills in C++ and Python.
• Familiarity with GPU computing across all layers of the AI stack, from DL frameworks like PyTorch down to CUDA.

The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Today, NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as "the AI computing company."

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. Are you creative and seeking new challenges? If so, we want to hear from you! Come, join our DL Architecture team and help build the real-time, cost-effective AI computing platform driving our success in this exciting and quickly growing field.

The base salary range is 224,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits . NVIDIA accepts applications on an ongoing basis.

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.

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