Deep Learning Software Engineer

Company Description

Join a multibillion-dollar global company that brings together amazing technology, people, and operational scale to become a powerhouse in the memory industry. Headquartered in Rancho Cordova, California, Solidigm combines elements of an established, successful technology company with the spirit, agility, and entrepreneurial mindset of a start-up. In addition to the U.S. headquarters and other facilities in the U.S., the company has international presence in Asia, Europe, and the Americas. Solidigm will continue to lead the world in innovating new Memory technologies with aspirations to be the #1 NAND memory company in the world. At Solidigm, we view problems as opportunities to define innovative solutions that hold the power to change the world and unleash the potential technological needs that the future holds. At Solidigm, we are One Team that fosters a diverse, equitable, and inclusive culture that embraces individual uniqueness and empowers us to bring our best selves to deliver excellence in support of Solidigm's vision and mission to be the go-to partner for optimized data storage solutions. You can be part of the takeoff of an innovative business that develops cutting-edge products, delivers strong business value for customers, provides an engaging workplace for its employees, and serves a greater impact on the world. This is a golden opportunity for the right applicant to join us and help design, build, and lead Solidigm. We want a diverse team of dedicated professionals who will not just be Solidigm team members but contribute to how we shape the future of the organization. We are seeking applicants who will grow and thrive in our culture; be customer inspired, trusting, innovative, team-oriented, inclusive, results driven, collaborative, passionate, and flexible.

Job Description

Conduct design and development to build and optimize deep learning software. Design, develop & optimize for deep learning training and inference frameworks. Implement various distributed algorithms such as model/data parallel frameworks, parameter servers, dataflow based asynchronous data communication in deep learning frameworks. Transform computational graph representation of neural network model. Develop deep learning primitives in math libraries. Profile distributed DL models to identify performance bottlenecks and propose solutions across individual component teams. Optimizing code for various computing hardware backends. Interacting with deep learning researchers and experience with deep learning frameworks.

Qualification required - Candidate is required to be enrolled in the Bachelors or higher program and is required to have taken basic courses in the area of machine learning, deep learning and AI.

C onduct design and development to build and optimize deep learning software. Design, develop & optimize for deep learning training and inference frameworks. Implement various distributed algorithms such as model/data parallel frameworks, parameter servers, dataflow based asynchronous data communication in deep learning frameworks. Transform computational graph representation of neural network model. Develop deep learning primitives in math libraries. Profile distributed DL models to identify performance bottlenecks and propose solutions across individual component teams. Optimizing code for various computing hardware backends. Interacting with deep learning researchers and experience with deep learning frameworks.

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