Senior Deep Learning Kernel Software Performance Architect
at Nvidia
Posted 8 hours ago
No clicks
- Compensation
- $152,000 – $287,500 USD
- City
- Not specified
- Country
- United States
Currency: $ (USD)
Seeking a Senior Kernel Performance Architect to design GPU-accelerated system architectures for deep learning workloads. You will prototype high-performance software for DL and data analytics, and analyze, visualize, and optimize performance using models, simulators, and test suites. You will collaborate with multiple NVIDIA teams (CUDA Compiler, AI/ML training and inference, and hardware architecture performance) to identify and optimize key deep learning layers and features. A strong background in high-performance kernel work (e.g., CUTLASS), ML fundamentals, and analytic performance modeling is required.
We are now looking for a Senior Kernel Performance Architect for Deep Learning Software!
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.
What you will be doing:
Craft GPU-accelerated system architectures that push the boundaries of deep learning performance.
Prototype high-performance software for deep learning and data analytics workloads.
Analyze, visualize, and optimize software performance using analytical models, simulators, and test suites.
Collaborate closely across NVIDIA teams such as:
CUDA Compiler teams to identify performance issues.
AI/ML training and inference performance teams to identify and optimize critical deep learning layers.
hardware architecture performance teams to define expectation for emerging deep learning hardware features.
What we need to see:
A Master's or PhD in Computer Science, Electrical Engineering or Computer Engineering, or equivalent experience.
5+ years of relevant industry 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 kernel (such as CUTLASS), work experience on math library 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.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative architect interested in pushing silicon to its highest performance? If so, we want to hear from you! Come, join our DL Architecture team and help build the real-time, cost-effective AI computing platform driving our success in this exciting and quickly growing field.
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 - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.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 a diverse 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.
