The MathWorks GmbH
Job Summary
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. Do you enjoy teaching complex technical concepts and empowering others to solve real-world problems? We are seeking a passionate and technically skilled Training Engineer to deliver high-impact training programs on MathWorks products, with a focus on image processing, Computer Vision, ADAS (Advanced Driver Assistance Systems), and AI applications. This role is ideal for someone with a strong background in data science and engineering who enjoys helping others learn and succeed.
Location Options: Natick, MA | Novi, MI | Plano, TX | Chevy Chase, MD | Torrance, CA Travel Requirement: Up to 25% MathWorks nurtures growth, appreciates inclusivity, encourages initiative, values teamwork, shares success, and rewards excellence. Responsibilities
Deliver Technical Training: Lead engaging, hands-on courses on MATLAB, Simulink, and related toolboxes, tailored to customer applications in image processing, ADAS, and AI. Perform Needs Analysis: Leveraging skill gap and learning needs analyses to design persona-specific learning paths. Customize Learning Experiences: Collaborate with customers to understand their workflows and develop customized training curricula that address specific technical learning needs. Drive Product Adoption: Ensure successful onboarding and usage of MathWorks products by helping customers apply tools effectively to their projects. Provide Strategic Feedback: Share insights from training sessions with internal teams to influence product development and sales strategies. Cross Collaboration: Collaborating across customer-facing engineering, development, marketing, and sales teams to deliver optimal training solutions tailored to customer needs. Enhance Course Quality: Continuously improve training delivery based on participant feedback and learning outcomes. Support Content Development: Contribute to the creation and refinement of course materials to reflect the latest product features and industry trends. Stay Current: Maintain expertise in emerging technologies and new capabilities within MathWorks products to ensure up-to-date instruction. Qualifications
A bachelor's degree and 6 years of professional work experience (or a master's degree and 3 years of professional work experience, or a PhD degree, or equivalent experience) is required. Candidates must be willing to travel up to 25% of the time Additional Qualifications
MS or PhD in Engineering required, preferably in Electrical Engineering with a focus on image processing or computer vision Passion for teaching and enabling others to succeed Strong foundation in machine learning, deep learning, neural networks, and statistical analysis Exposure to ADAS technologies, multi-sensor data fusion, or path planning algorithms is a plus Experience using MATLAB and Simulink in academic or industry settings Excellent verbal and written communication skills Prior teaching, training, or TA experience is highly desirable
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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. Do you enjoy teaching complex technical concepts and empowering others to solve real-world problems? We are seeking a passionate and technically skilled Training Engineer to deliver high-impact training programs on MathWorks products, with a focus on image processing, Computer Vision, ADAS (Advanced Driver Assistance Systems), and AI applications. This role is ideal for someone with a strong background in data science and engineering who enjoys helping others learn and succeed.
Location Options: Natick, MA | Novi, MI | Plano, TX | Chevy Chase, MD | Torrance, CA Travel Requirement: Up to 25% MathWorks nurtures growth, appreciates inclusivity, encourages initiative, values teamwork, shares success, and rewards excellence. Responsibilities
Deliver Technical Training: Lead engaging, hands-on courses on MATLAB, Simulink, and related toolboxes, tailored to customer applications in image processing, ADAS, and AI. Perform Needs Analysis: Leveraging skill gap and learning needs analyses to design persona-specific learning paths. Customize Learning Experiences: Collaborate with customers to understand their workflows and develop customized training curricula that address specific technical learning needs. Drive Product Adoption: Ensure successful onboarding and usage of MathWorks products by helping customers apply tools effectively to their projects. Provide Strategic Feedback: Share insights from training sessions with internal teams to influence product development and sales strategies. Cross Collaboration: Collaborating across customer-facing engineering, development, marketing, and sales teams to deliver optimal training solutions tailored to customer needs. Enhance Course Quality: Continuously improve training delivery based on participant feedback and learning outcomes. Support Content Development: Contribute to the creation and refinement of course materials to reflect the latest product features and industry trends. Stay Current: Maintain expertise in emerging technologies and new capabilities within MathWorks products to ensure up-to-date instruction. Qualifications
A bachelor's degree and 6 years of professional work experience (or a master's degree and 3 years of professional work experience, or a PhD degree, or equivalent experience) is required. Candidates must be willing to travel up to 25% of the time Additional Qualifications
MS or PhD in Engineering required, preferably in Electrical Engineering with a focus on image processing or computer vision Passion for teaching and enabling others to succeed Strong foundation in machine learning, deep learning, neural networks, and statistical analysis Exposure to ADAS technologies, multi-sensor data fusion, or path planning algorithms is a plus Experience using MATLAB and Simulink in academic or industry settings Excellent verbal and written communication skills Prior teaching, training, or TA experience is highly desirable
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