Deep Learning Performance Architect - New College Grad 2025

NVIDIA is seeking extraordinary architects to develop processor and system architectures that accelerate machine learning, data analytics and high-performance computing applications. This position offers the chance to create a meaningful impact in a dynamic, technology-focused company.

What you will be doing:

• As a member of our deep learning architecture team, you will craft system and processor architectures to extend the state of the art in deep learning efficiency and performance that are energy efficient.

• Prototype key deep learning and data analytics algorithms and applications.

• Analyze trade-offs in performance, cost and power developing analytical models, simulators and test suites.

• Analyze architecture performance and energy efficiency considering deep learning workloads, modeling and explore efficient architectures.

• Collaborate across the company to guide the direction of machine learning, working with software, research and product teams.

What we need to see:

• Master's or PhD degree (or equivalent experience) in Computer Science, Electrical Engineering or Computer Engineering.

• A strong foundation in machine learning and deep learning fundamentals to complement your expertise in computer architecture.

• A strong background in high performance power efficient designs, energy efficient high performance computing, performance analysis and profiling to identify performance bottlenecks.

• Fluency in programming languages such as Python, C, C++

• Experience with GPU computing, parallel programming models, and analytical performance modeling, profiling, and analysis.

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. Two modes of the human brain, two modes of the GPU. This may explain why 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.