MathWorks is seeking a Training Engineer to deliver high-impact training programs on MathWorks products, with a focus on image processing, Computer Vision, ADAS, and AI applications to empower others to solve real-world problems
Requirements
- 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
- 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
- Excellent verbal and written communication skills
- Prior teaching, training, or TA experience is highly desirable
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.
Other
- 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
- Prior teaching, training, or TA experience is highly desirable
- Excellent verbal and written communication skills
- Passion for teaching and enabling others to succeed
