Senior AI Training Performance Architect

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 356,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior AI Training Performance Architect to push the limits of AI training performance across hardware and software stacks. The role involves profiling, bottleneck analysis, and implementing production-quality software across the NVIDIA DL stack.

You'll work on MLPerf submissions and architecture studies, leveraging C++, Python, and CUDA to optimize workloads. The base salary bands reflect Level 4 and Level 5 roles, with equity and benefits available.

Qualifications

• PhD in CS, EE or CSEE (or equivalent) with 5+ years of experience; or MS with 8+ years of experience.
• Strong background in deep learning and neural networks, particularly in training.
• Solid understanding of computer architecture and GPU architecture fundamentals.
• Proven background in analyzing and tuning application performance.
• Proven experience with processor and system-level performance modeling.
• Proficiency in programming with C++, Python, and CUDA.

Responsibilities

• Understand, analyze, profile, and optimize AI training workloads on state-of-the-art hardware and software platforms.
• Identify performance bottlenecks of AI training on GPUs, prioritize and solve problems across key workloads.
• Implement production-quality software across multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks.
• Build and support NVIDIA submissions for MLPerf Training benchmarks.
• Implement key DL training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies.
• Develop tools to automate workload analysis, optimization, and other critical workflows.

Skills

Deep learning

Neural networks

C++

Python

CUDA

GPU architecture

Education

PhD in CS/EE/CSEE

MS in CS/EE/CSEE

Job description

We are now looking for a Senior AI Training Performance Architect. NVIDIA is seeking a senior engineer who is obsessed with performance analysis and optimization to help us squeeze every last clock cycle out of AI training, the workload driving the design and construction of the largest and most powerful compute systems in the world. If you are willing to work across all layers of the hardware/software stack - from GPU architecture to the application code - to achieve peak performance, we want to hear from you. This role offers the opportunity to directly impact the hardware and software roadmap in a fast-growing technology company that leads the AI revolution. Join us and help design and build the world's most powerful compute systems!

What You Will Be Doing

• Understand, analyze, profile, and optimize AI training workloads on state-of-the-art hardware and software platforms.
• Identifying performance bottlenecks of AI training on GPUs, prioritizing and then solving problems across the key AI training workloads.
• Implement production-quality software across multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks.
• Build and support NVIDIA submissions for MLPerf Training benchmarks.
• Implement key DL training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies.
• Develop tools to automate workload analysis, optimization, and other critical workflows.

What We Want To See

• PhD in CS, EE or CSEE (or equivalent experience) with 5+ years of relevant experience; or MS with 8+ years of experience.
• Strong background in deep learning and neural networks, particularly in training.
• Solid understanding of computer architecture and familiarity with GPU architecture fundamentals.
• Proven background in analyzing and tuning application performance.
• Proven experience with processor and system-level performance modeling.
• Proficiency in programming with C++, Python, and CUDA.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 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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