Senior Application Engineer - Model-Based Design

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:

Are you passionate about shaping how nextgeneration control systems are designed and delivered? Join us to work at the forefront of engineering innovation-helping leading companies bring complex, highperformance systems to market faster and with greater confidence.


As a Senior Application Engineer, you will build trusted partnerships with industry leaders across control systems applications in aerospace, automotive, robotics, electronics, and semiconductors. You will guide customers in applying MATLAB® and Simulink® to design, verify, and deploy advanced control systems, while pioneering the use of Agentic AI to automate engineering tasks and elevate productivity.


You will provide technical leadership across control design, modelbased development, and embedded implementation-bringing deep insight into customer workflows, challenges, and aspirations. In this role, you will also lead the adoption of Agentic AI within ModelBased Design (MBD), helping customers reimagine how intelligent agents can accelerate control model development, verification, and system integration.


By translating technical challenges into strategic solutions, you will position MathWorks technologies to shorten development cycles, improve control system performance, and scale modern engineering workflows. You will establish yourself as a trusted advisor-shaping both technology direction and longterm customer success.


Join us in accelerating the pace of engineering innovation with MathWorks.


This noncommissioned role is based in Santa Clara, CA, with up to 30% travel (primarily in the Bay Area), generally during the workweek.

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

Responsibilities

In this role you will:

• Work with prospective customers to understand their workflow.
• Prepare and deliver presentations, demonstrations, and application examples during customer meetings and public events.
• Assist customers in evaluating and adopting our solutions.Establish rapport and credibility with our customers across multiple hierarchy levels. Build champion users and supporters of our solutions.
• Actively collaborate and contribute to cross-functional teams (Application Engineering, Sales, and Marketing) to develop strategies to grow adoption of MathWorks tools.
• Advocate for customer needs to help influence MathWorks products directions.

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.
• Candidates for this position must be authorized to work in the United States on a full-time basis for any employer without restriction.
• Visa sponsorship will not be provided for this position.

Additional Qualifications

• US Citizenship is required due to the nature of the work
• Curious, proactive learner who enjoys staying current with evolving tools and workflows.
• Comfortable working across crossfunctional teams and balancing multiple priorities.
• Able to translate technical concepts into clear, practical guidance for customers.
• Strong engineering skills in developing and testing control systems
• Ability to perform modeling, simulation, verification and code generation tasks
• Working experience with a broad set of MathWorks products, including Simulink, Stateflow, MATLAB Coder, and Simulink Coder
• Experience in internal and/or external customer facing activities
• Excellent verbal and written communication skills and proficiency in the delivery of presentations

Plusses:

• Experience with C programming (primarily for embedded software system design and secondarily for desktop application design)
• Understanding of model-based systems engineering (MBSE) methodologies
• Knowledge of CI/CD workflows and tools
• Experience with Agentic AI workflows
• Experience with software development processes for critical systems (e.g. DO 178, IEC 61508, ISO 26262)