Flux Computing

Staff Compiler Engineer

Flux Computing

3 months ago
San Francisco, CA
Onsite
Full Time
Senior
0 applicants
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Flux Computing
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About this role

A Staff Compiler Engineer at Flux is responsible for architecting and building the ML backend, including the compiler, runtime, and debugger, specifically for integrating with frameworks like PyTorch, TensorFlow, JAX, and MXNet. The role requires collaboration with hardware engineers to optimize performance, develop innovative solutions, and mentor team members in best practices for ML backend and performance engineering. Candidates must have extensive experience in C/C++ programming and deep learning model optimization, as well as a strong background in compiler design and advanced optimization techniques.

Skills

Qualifications

Bachelor's degree in computer scienceBachelor's degree in electrical engineeringBachelor's degree in telecoms engineeringBachelor's degree in mathematicsBachelor's degree in a related field
Flux Computing

About Flux Computing

www.fluxcomputing.com

Flux Computing is a technology company focused on developing optical processors designed for artificial general intelligence (AGI). By leveraging advanced optical computing technologies, Flux aims to address the increasing demand for AI processing power while optimizing energy efficiency. Their innovative solutions are set to reshape the landscape of AI infrastructure, significantly exceeding the capabilities of traditional silicon-based systems. With a commitment to sustainability and performance, Flux is at the forefront of the AGI revolution.

About Flux Computing

Headquarters

San Francisco, CA

Company Size

201-500 employees

Founded

2018

Industry

Technology

Glassdoor Rating

4.2 / 5

Leadership Team

Sarah Johnson

Chief Executive Officer

Michael Chen

Chief Technology Officer

Emily Williams

VP of Engineering

David Rodriguez

VP of Product

Jessica Thompson

Chief Financial Officer

Andrew Park

VP of Sales

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