Role at a glance
- Salary
- $184K – $287.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 4+ years of experience in parallel computing architectures, interconnect fabrics and deep learning applications.
- Education
- MS or PhD in a relevant discipline (Computer Science, Electrical Engineering, Computer Engineering, etc) or equivalent experience.
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Role Summary
NVIDIA's Deep Learning Architecture team is seeking a Senior Deep Learning Performance Architect to analyze and develop architectures for AI and high-performance computing applications. The role focuses on building real-time, cost-effective computing platforms and guiding product development through performance and system-level analysis.
What You'll Do
- Develop hardware architectures for parallel computing performance, energy efficiency and programmability.
- Benchmark and analyze AI workloads in single- and multi-node configurations.
- Develop high-level simulator and analysis tools in C++ and Python.
- Evaluate performance, power and area for hardware features and system-level architectural trade-offs.
- Work with peer architecture teams and product management to guide product development.
- Keep abreast of emerging trends and research in deep learning.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
MS or PhD in a relevant discipline or equivalent experience; 4+ years of experience in parallel computing architectures, interconnect fabrics and deep learning applications; GPU or Deep Learning ASIC architecture evaluation experience; strong Python and C++ programming skills.
Required
- MS or PhD in a relevant discipline (Computer Science, Electrical Engineering, Computer Engineering, etc) or equivalent experience
- 4+ years of experience in parallel computing architectures, interconnect fabrics and deep learning applications
- Background in GPU or Deep Learning ASIC architecture evaluation for training and/or inference
- Strong programming skills in Python and C++
Preferred
- Solid fundamental knowledge in computer architecture and interconnect fabrics
- Understanding of modern transformer-based model architectures
- Ability to simplify and communicate rich technical concepts to non-technical audience
- Excellent problem-solving skills
Original job description
Content provided by the employer
Original job description
Content provided by the employer
We are now looking for a Senior Deep Learning Performance Architect!
NVIDIA is seeking outstanding Performance Analysis Architects 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 HW architectures to extend the state of the art in parallel computing performance, energy efficiency and programmability.
Benchmark and analyze AI workloads in single and multi-node configurations.
Develop high level simulator and analysis tools in C++/Python.
Evaluate PPA (performance, power, area) for hardware features and system-level architectural trade-offs.
Work closely with peer architecture teams and product management to guide development of the products.
Keep abreast with emerging trends and research in deep learning.
What we need to see:
MS or PhD in a relevant discipline (Computer Science, Electrical Engineering, Computer Engineering, etc) or equivalent experience.
4+ years of experience in parallel computing architectures, interconnect fabrics and deep learning applications.
Background in GPU or Deep Learning ASIC architecture evaluation for training and/or inference.
Strong programming skills in Python and C++.
Ways to stand out from the crowd:
Solid fundamental knowledge in computer architecture and interconnect fabrics.
Understanding of modern transformer-based model architectures.
Ability to simplify and communicate rich technical concepts to non-technical audience.
Have a curious demeanor with excellent problem-solving skills.
Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. NVIDIA's GPUs run AI algorithms, simulating human intelligence, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world. Increasingly known as “the AI computing company”, NVIDIA wants you. Come, join our Deep Learning Architecture team, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly growing field!
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.
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.