Senior Deep Learning Performance Architect

NVIDIA; Redmond (WA); On-site; USD 184,000 - 356,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Deep Learning Performance Architect in Redmond, WA. The role involves developing architectures to enhance deep learning performance and collaborating with teams in performance modeling and analysis. Candidates should have a strong background in GPU architecture, deep learning, and programming in Python, C, or C++.

The salary range for this position is between $184,000 and $356,500, depending on experience and level. NVIDIA offers equity and benefits in an inclusive environment.

Qualifications

• 6+ years of relevant work experience.
• Strong background in GPU or Deep Learning ASIC architecture.
• Solid foundation in machine learning and deep learning.

Responsibilities

• Develop innovative architectures for deep learning performance.
• Analyze performance, cost, and power trade-offs.
• Evaluate PPA for hardware features and system level trade-offs.

Skills

Performance analysis

Performance modeling

AI/deep learning

GPU architecture

Programming skills in Python, C, C++

Education

MS or PhD in Computer Science/Engineering

Tools

Pytorch

JAX

TensorRT

Job description

We are now seeking a Senior Deep Learning Performance Architect! NVIDIA is looking for outstanding Performance Architects with a background in performance analysis, performance modeling, and AI/deep learning to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications.

What You’ll Be Doing

• Develop innovative architectures to extend the state of the art in deep learning performance and efficiency
• Analyze performance, cost and power trade-offs by developing analytical models, simulators and test suites
• Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications
• Evaluate PPA (performance, power, area) for hardware features and system level architectural trade-offs; develop high level simulators in C++/Python
• Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW

What We Need To See

• MS or PhD in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience
• 6+ years of relevant meaningful work experience
• Strong background in GPU or Deep Learning ASIC architecture for distributed training and/or inference spanning multi-chip/multi-node
• Experience with performance modeling, architecture simulation, profiling, and analysis
• Solid foundation in machine learning and deep learning; understanding of modern transformer-based architectures and their performance at scale
• Strong programming skills in Python, C, C++

Ways To Stand Out From The Crowd

• Background with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, JAX, TensorRT)
• Familiarity with advanced optimizations and SW/HW co-design in LLM training and inference
• Exposure to using AI to accelerate SW engineering
• Demonstration of self-motivation and creative / critical thinking

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.

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.