Senior Deep Learning Performance Architect

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.
• What we need to see:
• 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.
• 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. You will also be eligible for equity and benefits .
• 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.

Additional Information

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.

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