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Senior Deep Learning Performance Architect

US, CA, Santa Clara💼 Full-time💰 $152,000–$152,000🗓 2026-06-24 → 2026-08-01

Core

Designing high-performance, energy-efficient system and processor architectures to accelerate deep learning, data analytics, and high-performance computing applications.

Role type

Senior Deep Learning Performance Architect

Builds

Real-time, cost-effective AI computing platforms and next-generation processor architectures

Domain

Semiconductor hardware, Deep Learning, High-Performance Computing (HPC)

Deliverable

production ML models | infrastructure

Required skills

Computer architecture design, Deep learning fundamentals, High-performance power-efficient design, Performance analysis and profiling, Analytical performance modeling, Parallel programming, GPU computing, C/C++ programming, Python programming

Preferred skills

PhD in Computer Science/Electrical Engineering, Experience with simulators and test suites, Background in modeling and prototyping

Technologies

Python, C, C++, GPU computing frameworks

Responsibilities

Craft high-performance energy-efficient system and processor architectures, Prototype key deep learning and data analytics algorithms, Analyze trade-offs in performance, cost, and power, Collaborate with software, research, and product teams to guide machine learning direction

Seniority

Senior, hands-on IC

Rewrite
## Senior Deep Learning Performance Architect We are now looking for a Senior Deep Learning Performance Architect! 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. ### Responsibilities - As a member of our deep learning architecture team, you will craft high performance energy efficient system and processor architectures to extend the state of the art in deep learning. - 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/or energy efficiency considering deep learning workloads, modeling and prototyping. - Collaborate across the company to guide the direction of machine learning, working with software, research and product teams. ### Requirements - Master's or PhD in Computer Science, Electrical Engineering or Computer Engineering, or equivalent experience. - 4+ years of relevant work or research experience. - 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 and familiarity with GPU computing and parallel programming models. - You have firsthand work experience with analytical performance modeling, profiling, and analysis. ### Nice to Have - None specified. ### Benefits - You will also be eligible for equity 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. - Applications for this job will be accepted at least until June 28, 2026. - This posting is for an existing vacancy. - NVIDIA uses AI tools in its recruiting processes. - NVIDIA is committed to fostering an inclusive 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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