Senior C++ Software Engineer

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.

We are looking for a Senior Software Engineer to contribute to the core programming language and runtime systems that power MATLAB. In this role, you will work on the underlying language behavior and execution engine, helping evolve systems used by engineers and scientists worldwide.

This is a hands-on engineering position focused on improving foundational infrastructure. You will help enhance performance, reliability, and consistency across the language and runtime, while modernizing long-standing components to support new functionality and evolving development workflows.

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

Responsibilities

• Develop and maintain MATLAB runtime behavior with a focus on performance, correctness, and maintainability.
• Independently investigate and resolve complex issues spanning multiple system components.
• Contribute to improving a mature codebase through targeted refactoring and cleanup efforts.
• Participate in technical discussions, design reviews, and implementation planning.
• Collaborate with teammates through code reviews and shared development efforts.

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

• Solid understanding of software design principles and maintainable system architecture.
• Experience working in large-scale systems or codebases with multiple dependencies.
• Ability to own features or components from design through delivery.
• Familiarity with developer tools such as debuggers, profiling tools, or static analysis.
• Experience with AI-driven development workflows and automation.