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Software Engineer Applied Math Jobs in Massachusetts

Senior Software Engineer

Wilmington, MA · On-site

$133K - $176K/yr

... software developers, and other technical staff. • Leverage AI coding agents to accelerate ... Applied Mathematics, Physics, or related field. • Doctorate degree with 0+ years related ...

Proficiency in algorithm design, software development, and mathematical modeling with programming ... Solid understanding of applied mathematics, including linear algebra, optimization, computational ...

ABOUT THE TEAM At Anduril, our Software Engineers specialize in solving complex, real-world ... Solid understanding of applied mathematics, including linear algebra, optimization, probability ...

Proficiency in algorithm design, software development, and mathematical modeling with programming ... Solid understanding of applied mathematics, including linear algebra, optimization, computational ...

Showing results 41-60

Software Engineer Applied Math information

What is a software engineer applied math?

A Software Engineer in Applied Math develops and implements mathematical models, algorithms, and simulations to solve complex problems in various domains such as finance, engineering, and data science. They use programming languages like Python, C++, or MATLAB to create efficient solutions based on numerical analysis, optimization, and machine learning. This role often involves collaborating with scientists, analysts, and engineers to enhance computational methods and improve decision-making processes.

What types of projects does a software engineer applied math typically work on?

Software Engineers specializing in Applied Math are often involved in developing algorithms, simulations, and analytical software that solve complex, real-world problems in fields like finance, engineering, machine learning, or data science. Daily responsibilities may include implementing mathematical models, optimizing existing code for performance, and collaborating with cross-disciplinary teams to refine solutions. Depending on the employer, you might work on projects such as risk modeling, signal processing, optimization engines, or predictive analytics tools. This role frequently requires balancing theoretical problem solving with practical software implementation to deliver robust, scalable applications. Working closely with researchers, data scientists, and other engineers, you will contribute to innovation and technical excellence in your organization's projects.

What are the key skills and qualifications needed to thrive as a software engineer applied math?

To thrive as a Software Engineer Applied Math, you need a solid background in computer science, mathematical modeling, and software engineering, often supported by a relevant degree such as computer science, applied mathematics, or engineering. Expertise in programming languages (such as Python, C++, or MATLAB), experience with numerical libraries and data analysis tools, and familiarity with version control systems are typically required. Strong analytical thinking, effective problem-solving, and the ability to communicate complex technical concepts are important soft skills for this role. These skills enable you to build efficient software solutions for complex mathematical problems, drive innovation, and collaborate effectively within technical teams.

Can you get a software engineer applied math job with a math degree?

A math degree can qualify you for a software engineer applied math position, especially if you have strong programming skills in languages like Python, C++, or Java, and experience with algorithms, data structures, and numerical methods. Employers often value analytical thinking and problem-solving abilities gained through a math background, but practical coding experience and familiarity with software development tools are also important. Additional certifications or coursework in computer science can enhance your chances of securing such roles.

What jobs can I do with a software engineer applied math degree?

A software engineer with an applied math degree can pursue roles such as data scientist, quantitative analyst, machine learning engineer, or software developer. These positions often require strong programming skills in languages like Python or C++, knowledge of algorithms, and experience with data analysis tools or mathematical modeling. Such roles are common in finance, technology, research, and analytics industries.

What are the most commonly searched types of Software Engineer Applied Math jobs in Massachusetts?

The most popular types of Software Engineer Applied Math jobs in Massachusetts are:

Infographic showing various Software Engineer Applied Math job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Senior Software Engineer

Onto Innovation

Wilmington, MA • On-site

$133K - $176K/yr

Full-time

Re-posted 29 days ago


Job description

Job Summary:
Onto Innovation is a leader in process control, specializing in advanced technologies for the semiconductor industry. The role involves developing and maintaining a complex inspection platform, applying systems thinking to translate customer needs into engineering tasks, and collaborating with cross-functional teams.
Responsibilities:
• Build and continuously refine an accurate mental model of the full Onto inspection platform—optics, motion, electronics, image acquisition, and software stack.
• Translate customer problems and application requirements into well-scoped engineering tasks by reasoning across subsystem boundaries.
• Agility to zoom from system-level architecture down into any specific areas: databases, algorithm performance, hardware, data flow, GPUs, GUIs, etc.
• Participate in New Product Development (NPD) alongside hardware engineers, application engineers, Technical Project Managers, and Program/Product Managers.
• Apply machine learning, image processing, computer vision, mathematics, and optics to develop algorithms integrated into Onto inspection platforms.
• Develop or contribute to optical imaging modeling/calibration and/or image segmentation, classification, and detection algorithms.
• Write, test, and debug software to ensure high-quality, reliable operation; optimize for performance and scalability.
• Perform or lead (based on experience) requirement analysis, detailed software design, production code development, and associated test plans.
• Participate in design/code reviews collaborating with systems engineers, software developers, and other technical staff.
• Leverage AI coding agents to accelerate implementation, while maintaining ownership of architecture decisions, design integrity, and code quality.
• Stay current with academic research and industrial practices in machine vision inspection, image processing, machine learning, and AI-assisted engineering.
• Document software designs, system-level rationale, development processes, and troubleshooting steps.
• Support teammates and, at senior levels, provide technical mentorship—especially in systems thinking.
• Contribute to improving the team's development workflows and tooling, including AI-assisted practices.
Qualifications:
Required:
• PhD, MS, or Bachelor's degree in Electrical Engineering, Computer Science, Applied Mathematics, Physics, or related field.
• Doctorate degree with 0+ years related experience; or Master's degree with 0+ years related experience; or Bachelor's degree with 0+ years related experience.
• Demonstrated ability to reason about systems at multiple levels of abstraction—from high-level architecture down to implementation details.
• Strong problem-solving, analytical, and communication skills; able to articulate complex system behavior clearly to both technical and non-technical stakeholders.
• Competency (or demonstrable coursework) in at least one numerically focused environment such as Python or MATLAB, including linear algebra, image processing, and/or machine learning libraries.
• Competency (or demonstrable coursework) in at least one compiled or production language used in large-scale software systems, such as C++, C#, or Java.
Preferred:
• Experience in semiconductor inspection, machine vision, robotics, or similar highly technical domains where hardware/software co-design is essential.
• Track record of diagnosing cross-subsystem issues that span optics, electronics, firmware, and application software.
• Experience effectively using AI coding agents (e.g., Copilot, Cursor, Aider, or similar) to accelerate development.
• Experience with software development methodologies such as Agile, Scrum, or Kanban.
• Experience with version control and CI/CD practices.
• Experience debugging complex multi-threaded software environments.
• Familiarity with embedded systems, hardware communication protocols, and/or real-time constraints.
Company:
Onto Innovation stands alone in process control with our unique perspective across the semiconductor value chain. Founded in 2019, the company is headquartered in Wilmington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.