Senior AI Training Performance Architect

NVIDIA; United States; On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA Corporation is seeking a Senior AI Training Performance Architect to optimize AI training workloads across the stack—from GPUs to software frameworks. You will profile, identify bottlenecks, and implement production-quality tooling and DL workloads for future architecture studies.

Requires a PhD with 5+ years or MS with 8+ years, deep learning expertise, CUDA proficiency, and strong performance modeling skills. Competitive base salary and equity are offered, with US-based opportunities.

Qualifications

• PhD in CS, EE or CSEE (or equivalent experience) with 5+ years of relevant experience.
• Strong background in deep learning and neural networks, particularly in training.
• Solid understanding of computer architecture and GPU fundamentals.
• Proven ability to analyze and tune application performance.
• Experience with processor and system-level performance modeling.
• Proficiency in 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 and drive solutions.
• Implement production-quality software across multiple layers of NVIDIA's stack.
• Build and support submissions for MLPerf Training benchmarks.
• Implement key DL training workloads in simulators for architecture studies.
• Develop tools to automate workload analysis and optimization workflows.

Skills

Deep learning

Neural networks

C++

Python

CUDA

GPU architecture

Performance tuning

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 other objective job-related factors. The expected base salary ranges for this position are: 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 November 3, 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.