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Software Engineer Applied Math Jobs in Massachusetts

Software Engineer, Applied AI Location: Seattle, WA; Austin, TX; Boston, MA; Washington, DC 1 day onsite per week Position Summary At HackerOne, we're revolutionizing offensive security by combining ...

Senior Software Engineer, Applied AI

Boston, MA · On-site

$133K - $175K/yr

Senior Software Engineer, Applied AI Location: Seattle, WA; Austin, TX; Boston, MA; Washington, DC 1 day onsite per week Position Summary At HackerOne, we're revolutionizing offensive security by ...

Senior Software Engineer

Woburn, MA · On-site

$130K - $172K/yr

... Applied Mathematics, Electrical Engineering, or related field • Ability to obtain a security ... software quality tools (static/dynamic analysis, automated testing frameworks) Company : STR is ...

Senior Software Engineer

Woburn, MA · On-site

$130K - $172K/yr

They are seeking experienced Senior Software Engineers to join their multidisciplinary cyber ... Applied Mathematics, or a related field, with at least 5 years of relevant experience or equivalent ...

They are seeking experienced Lead Software Engineers to lead the design, implementation, and ... Applied Mathematics, or a related field, with at least 7 years of relevant experience or equivalent ...

They are seeking experienced Lead Software Engineers to design, implement, and test innovative ... Applied Mathematics, or a related field, with at least 7 years of relevant experience or equivalent ...

Senior Software Engineer

Woburn, MA · On-site

$130K - $172K/yr

They are seeking experienced Senior Software Engineers to develop cutting-edge technologies that ... Applied Mathematics, or a related field, with at least 5 years of relevant experience or equivalent ...

STR is hiring experienced Lead Software Engineers to join their multidisciplinary cyber/networking ... Applied Mathematics, or a related field, with at least 7 years of relevant experience or equivalent ...

STR is hiring experienced Senior Software Engineers to join our multidisciplinary cyber/networking ... Applied Mathematics, or a related field, with at least 5 years of relevant experience or equivalent ...

STR is hiring experienced Lead Software Engineers to join our multidisciplinary cyber/networking ... Applied Mathematics, or a related field, with at least 7 years of relevant experience or equivalent ...

GPU Software Engineer

Boxborough, MA · On-site

$98K - $148K/yr

Minimum Qualifications: • Bachelor's degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field. • Knowledge of one or ...

Senior Software Engineer

Woburn, MA · On-site

$134K - $184K/yr

STR is hiring experienced Senior Software Engineers to join our multidisciplinary cyber/networking ... Applied Mathematics, or a related field, with at least 5 years of relevant experience or equivalent ...

Lead Software Engineer

Woburn, MA · On-site

$157K - $224K/yr

STR is hiring experienced Lead Software Engineers to join our multidisciplinary cyber/networking ... Applied Mathematics, or a related field, with at least 7 years of relevant experience or equivalent ...

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Software Engineer Applied Math information

What jobs can I do with an applied math degree?

A software engineer with an applied math degree can work in roles such as data scientist, quantitative analyst, operations researcher, or machine learning engineer. These positions often require strong analytical skills, programming knowledge in languages like Python or R, and familiarity with algorithms and statistical modeling.

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

A math degree can provide a strong foundation for a software engineer position, especially when combined with programming skills in languages like Python, Java, or C++. Employers often value problem-solving abilities and quantitative skills from math backgrounds, and additional experience with software development tools and algorithms can improve job prospects.

What types of projects do Software Engineers in 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.

Can I be an engineer with an applied math degree?

A software engineer with an applied math degree can qualify for many roles, especially those involving algorithms, data analysis, or modeling. Success often depends on gaining programming skills in languages like Python or C++, and sometimes obtaining certifications or experience in software development environments. Employers value strong analytical skills and problem-solving abilities from applied math backgrounds.

What is a Software Engineer Applied Math job?

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 are the key skills and qualifications needed to thrive in the Software Engineer Applied Math position, and why are they important?

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.

Does the FBI hire mathematicians?

The FBI hires mathematicians, often under roles such as Intelligence Analysts or Cryptanalysts, who use advanced mathematical and analytical skills. These positions typically require a strong background in applied mathematics, computer science, or related fields, and may involve working with data analysis, cryptography, and intelligence operations.
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:
What job categories do people searching Software Engineer Applied Math jobs in Massachusetts look for? The top searched job categories for Software Engineer Applied Math jobs in Massachusetts are:
Infographic showing various Software Engineer Applied Math job openings in Massachusetts as of July 2026, with employment types broken down into 66% Full Time, and 34% Part Time. Highlights an 100% In-person job distribution.

Senior Software Engineer, Applied AI

Lila Sciences

Cambridge, MA

$133K - $176K/yr

Other

Re-posted 16 days ago


Job description

Your Impact at LILA

We are seeking a Senior Software Engineer to join our Applied AI group and help build the next generation of our AI-driven scientific platform. In this role, you will design and optimize the backend systems, data pipelines, and AI integrations that power intelligent, data-driven applications. You'll work at the intersection of backend engineering and machine learning, ensuring our platform seamlessly scales and supports cutting-edge applied AI techniques such as Retrieval-Augmented Generation (RAG), agentic AI, and large language model (LLM) integration.

This role is ideal for someone who thrives in bridging software engineering and applied AI-turning research into production-grade systems that drive real-world scientific discovery. If you are passionate about building performant, elegant systems that make AI useful and impactful, we would love to hear from you!

What You'll Be Building

  • Applied AI Integration: Design and deploy backend services and data pipelines that directly support advanced AI applications, including LLMs, RAG, and agentic frameworks.
  • API & Service Development: Build high-performance APIs and microservices that enable seamless integration between AI models, scientific tools, and user-facing applications.
  • Data Pipeline Architecture: Architect and manage scalable pipelines capable of handling structured, unstructured, and vectorized data for AI/ML workloads.
  • Database & Knowledge Systems: Implement and optimize SQL, NoSQL, and vector databases to support low-latency AI retrieval and inference workloads.
  • Cloud & Infrastructure: Leverage AWS, Kubernetes, and infrastructure-as-code (Terraform/CloudFormation) to build robust, production-ready AI platforms.
  • Performance & Reliability: Diagnose system bottlenecks, optimize for cost and speed, and ensure the reliability and fault-tolerance of AI-driven workflows.
  • Collaboration: Partner with ML researchers, platform engineers, and scientists to translate models and algorithms into scalable, production-ready systems.

What You'll Need to Succeed

  • Educational Background: Bachelor's or Master's in Computer Science, Engineering, or a related field.
  • Backend & Data Expertise: 7+ years of professional experience building and scaling production systems, including APIs, data pipelines, and distributed services.
  • Programming Skills: Strong Python skills (FastAPI, Flask, Django), with solid experience in backend service development.
  • Databases: Proven experience with SQL, NoSQL, and vector databases; skilled in schema design, indexing, and query optimization.
  • Applied AI Systems: Hands-on experience integrating ML models or AI-driven workflows into production services.
  • Cloud & DevOps: Proficiency with AWS, Docker/Kubernetes, CI/CD pipelines, and infrastructure-as-code.
  • Communication & Problem-Solving: Ability to work cross-functionally with diverse teams and explain complex technical concepts to non-experts.

Bonus Points For

  • Scientific & Data-Intensive Domains: Experience working with life sciences, materials sciences, or other research-heavy fields.
  • Startup Experience: Comfort with fast-paced, iterative environments where impact and adaptability matter.