Role at a glance
- Salary
- $184K – $356.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- PhD in CS, EE or CSEE (or equivalent experience) with 5+ years of relevant experience; or MS with 8+ years of experience.
- Education
- PhD
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Role Summary
The Senior AI Training Performance Architect will analyze and optimize AI training workloads across NVIDIA hardware and software platforms. The role contributes to deep learning platform development, MLPerf Training benchmarks, and future processor and system architecture studies.
What You'll Do
- Understand, analyze, profile, and optimize AI training workloads on state-of-the-art hardware and software platforms.
- Identify, prioritize, and solve performance bottlenecks in key AI training workloads on GPUs.
- Implement production-quality software across NVIDIA's deep learning platform stack, from drivers to deep learning frameworks.
- Build and support NVIDIA submissions for MLPerf Training benchmarks.
- Implement key deep learning training workloads in NVIDIA's processor and system simulators for future architecture studies.
- Develop tools to automate workload analysis, optimization, and other critical workflows.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
PhD in CS, EE or CSEE with 5+ years of relevant experience, or MS with 8+ years of experience; strong background in deep learning and neural networks, particularly in training; understanding of computer architecture and GPU architecture fundamentals; experience analyzing and tuning application performance; experience with processor and system-level performance modeling; proficiency in C++, Python, and CUDA.
Required
- PhD in CS, EE or CSEE with 5+ years of relevant experience, or MS with 8+ years of experience
- Deep learning and neural networks, particularly in training
- Computer architecture and GPU architecture fundamentals
- Application performance analysis and tuning
- Processor and system-level performance modeling
- C++, Python, and CUDA
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.