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Temporary High Performance Computing Engineer Jobs in California

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Temporary High Performance Computing Engineer information

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Cities in California with the most Temporary High Performance Computing Engineer job openings:

Senior Deep Learning Kernel Software Performance Architect

NVIDIA

Santa Clara, CA • On-site

$196K/yr

Full-time

Re-posted 8 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


Job description

Job Summary:
NVIDIA is seeking extraordinary architects to develop processor and system architectures that accelerate machine learning, data analytics, and high-performance computing applications. The Senior Kernel Performance Architect for Deep Learning Software will craft GPU-accelerated system architectures, prototype high-performance software, and collaborate with various teams to optimize deep learning performance.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993