Performance Engineer

U.S. Benefits

What are some of the benefits and perks of working at MathWorks?

– 401(k) matching

– Quarterly profit-sharing plan

– Tuition reimbursement

– Paid Volunteer Time

– Fitness and Recreation

– Wellness center

– Training and Development

– Relocation Assistance Provided

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/hybrid-model.html.

Working under the direction of the Manager or Senior Team Lead, will be responsible for designing and developing sophisticated software; driving performance analysis and optimization across the MATLAB platform; developing methods and tools to measure and improve performance and scalability for key workflows, such as MATLAB startup, client-server solutions using the MATLAB Production Server, core language, and AI workflows; driving the performance strategy for key workflows; gathering performance requirements; designing and implementing performance and scalability frameworks; and collaborating with product teams to identify bottlenecks and optimize performance.

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.

Special Requirements:

• Demonstrated expertise adapting research on deep learning and computer vision algorithms into product prototypes in C++ and MATLAB.
• Demonstrated expertise in development and technical support of computer vision and image processing applications and systems.
• Demonstrated expertise programming in C/C++ and MATLAB; and developing and prototyping image classification/processing algorithms in MATLAB or Python.
• Demonstrated expertise applying statistical methods — linear algebra, probability, and mathematical optimization — and machine learning methods — classification and regression — to build statistical tools and machine learning applications.

[Expertise may be gained during Graduate program.]