MathWorks | Jobs | Software Engineer – Deep Learning Model Compression | BigDataKB.com | 31-03-22

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Job Location: Bangalore

MathWorks has a hybrid work model that enables staff members to split their time between office and home. The hybrid model provides the advantage of having both in-person time with colleagues and flexible at-home life optimizations. Learn More: https://www.mathworks.com/company/jobs/resources/applying-and-interviewing.html#onboarding.

MathWorks is an industry leader in design automation tools for developing embedded system software. In embedded systems, the need to deploy Deep Learning and Machine Learning algorithms is exploding. These deployments demand optimal balance between high computation performance and limited power source on hardware. Your job is to develop solutions that can achieve the optimal match of the machine learning models to the deployment capabilities in MathWorks design automation products.

MATLAB and Simulink provide ideal toolchains for applying Model-Based Design techniques to solve problems in Artificial Intelligence domain. Transforming those innovative ideas in to a form that allows efficient implementation on an embedded device is challenging. Your role is to develop new features that automate this transformation, providing simulation and deployment capabilities. Your challenge is to deliver maximum user productivity and outstanding ease of use.

You will:

  • Have hands on in all phases of software development, including user requirements, functional design, implementation, testing, and design validation. Be passionate about increasing productivity and bringing quality features to market at fast pace.

  • Work out of the Bangalore office and collaborate closely with development teams in Natick, MA, USA office. Coordinate work with cross-functional team members in engineering, quality engineering, user experience, and documentation.

  • Develop a strong understanding of the needs of MathWorks customers for embedded design automation. Be an innovator that drives the next generation of design automation for embedded deployment of machine learning models.

  • Experience as an individual contributor to cross-disciplinary teams designing, developing, and testing

  • Strong skills in Object-Oriented programming and software architecture

  • Experience with planning projects and meeting delivery deadlines

  • Great team player who can influence cross-functional teams across organizational boundaries

  • Knowledge in one or more areas of machine learning, deep learning, statistics or optimization.

  • A bachelor’s degree and 5 years of professional work experience (or a master’s degree, or equivalent experience) is required.

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