Job SummaryMathWorks 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: ;br>
Are you looking for a role that combines deep technical expertise in safety-critical embedded software and systems engineering with a passion for the most innovative projects in industrial automation? At MathWorks, you'll shape how our customers develop, verify, and test the embedded systems behind semiconductor equipment, grid-scale power systems, AI data center infrastructure and theme park rides. If you enjoy autonomous systems, predictive algorithms, or securing critical infrastructure, this role puts you at the center of how those systems get built.
As a Senior Application Engineer, you will work face-to-face with customers to understand their technical and business challenges, then enable them to create effective embedded software solutions, develop predictive algorithms, and perform verification and validation with MathWorks products.
Travel: 30-40%, primarily throughout North America.
MathWorks nurtures growth, appreciates inclusivity, encourages initiative, values teamwork, shares success, and rewards excellence.
Responsibilities - Engage with prospective customers to understand their workflow and use this knowledge to recommend effective solutions.
- Advocate for the future direction of MathWorks products based on customer interactions.
- Contribute to continual improvement of customers' methodologies, best practices, tools and techniques for more effective product usage.
- Maintain high customer satisfaction through proactive communication and ownership of issues.
- Partner with Sales to develop and drive shared account goals/objectives aligned with the customer's vision of success.
- Identify new application areas and work with Marketing to create compelling messaging and demonstrations to attract new customers/prospects, by delivering this content at large and small events.
Minimum 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.
Additional Qualifications - MATLAB and Simulink experience
- Applying machine learning and deep learning to signal data - classification, signal processing, prediction, and regression
- Implementing predictive maintenance or forecasting algorithms in production
- Experience with cloud systems, such as AWS and/or Azure
- Professional experience with C/C++
- Excellent verbal and written communication skills
- Highly motivated to work directly with customers
- Familiarity with Model Context Protocol (MCP) and agentic workflows
