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Software Engineer

MathWorks

Job Description

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.

Working under the direction of the Manager or Senior Team Lead, will be responsible for designing and developing sophisticated software; designing and implementing moderately-complex software for robotics algorithms related to perception, planning, and control for robots using machine learning; writing high quality code, designing extensible software using software engineering principles, patterns and methodologies, performance monitoring and integration; participating in software development projects of moderate scope, from requirements gathering and design to implementation, qualification and validation; assisting cross-functional team members in engineering, quality engineering, user experience, and documentation; increasing productivity and bringing quality features to market; and working with subject matter experts in pursuit of continuous improvement of designs and modeling strategies.

MathWorks nurtures growth, appreciates diversity, encourages initiative, values teamwork, shares success, and rewards excellence.

 

Minimum Qualifications:

Education and Experience:

Master’s degree in Engineering, Computer Science, or a closely related field (or foreign education equivalent) and no experience.

OR

Bachelor’s degree in Engineering, Computer Science, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Software Engineer (or related occupation) performing development, testing or technical support of robotic systems.


 

Special Requirements:

Demonstrated expertise in object oriented programming in C/C++, Python, and MATLAB within a multiplatform environment
  • - Windows, Linux, and Mac.
  • Demonstrated expertise applying statistical methods - linear algebra, probability, and mathematical optimization
  • - to model autonomous vehicle behavior, dynamics, controls, and 2D and 3D geometric transformations in MATLAB and Simulink.
  • Demonstrated expertise applying deep learning algorithms to design and develop computer vision applications using MATLAB.
  • Demonstrated expertise using Simulink to model robotic systems.

[Expertise may be gained during Graduate program.]

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