August 27
🏢 In-office - Manhattan
• Analyze the performance characteristics of code generated by our production grade compiler and develop and implement engineering roadmaps for its improvement • Architect, design, and implement compiler support for novel features of our unique neural network inference platform • Guide model developers and hardware architects towards improving the efficiency and achieved performance of inference hardware via software/hardware codesign
• Relevant education/work experience • BS degree in Computer Science/Electrical Engineering or equivalent practical experience and 7+ years of industry experience OR • MS degree in Computer Science/Electrical Engineering and 5+ years of industry experience OR • PhD degree in Computer Science/Electrical Engineering and 3+ years of industry experience • 3+ years of industry and/or academic experience working on compilers for neural networks or linear algebra computation targeting parallel architectures • 1+ years of experience in techniques used to generate code optimized for performance on a parallel architecture • Strong C++ programming skills
• Discretionary annual bonus program • Equity incentive plan • Generous Company benefits program
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