Software Engineer, SambaNova Systems

• Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or equivalent with 5-10 years of industry experience
• Deep theoretical understanding of compiler fundamentals
• Experience building and deploying software products
• Experience with one or more deep learning frameworks (i.e. TensorFlow, PyTorch) is a plus
• Experience with common compiler development practices and methodologies
• Excitement about high-performance systems engineering and performance debugging
• An appreciation for process and developing cross-disciplinary collaboration

Desirable

• The Principal Compiler Engineer - ML Systems position will be responsible for working with the different layers of the compiler stack and coordinating with other development teams here at SambaNova
• It is a critical role responsible for driving innovation in compiler infrastructure and optimization algorithms that enable state-of-the-art ML model performance on the SambaNova platform
• This can involve anything from digging through PyTorch and machine learning models to determining how to map operations on to our underlying hardware
• Lead compiler engineering through ensuring standard methodologies, enterprise product insertion and process evolution
• Work with peers, domain experts, developers, customers, and work across the enterprise seeking optimal solutions
• Develop, integrate, and implement products
• Provide support for proposals in key areas aligned with core team competencies