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Scientific Software Engineer Jobs in Boston, MA (NOW HIRING)

Akamai Technologies, Inc

Software Engineer

Cambridge, MA · On-site +1

$114K - $136K/yr

Collaborating with data scientists, machine learning engineers, and software developers to achieve common goals; Developing and managing feature stores and model registries to ensure data and model ...

Danaher

Software Engineer Internships

Lowell, MA · On-site

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Software Engineer Internships

Babson Park, MA · On-site

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Software Engineer Internships

Cambridge, MA

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Powertown

Software Engineer

Boston, MA · On-site

Own the feature space for Powertown's site prospecting process Preferred majors Computer Science, Software Engineering, Computer Engineering, Electrical and Computer Engineering, or a similarly ...

New

Danaher

Software Engineer Internships

Lowell, MA

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Software Engineer Internships

Cambridge, MA · On-site

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Software Engineer Internships

Brockton, MA · On-site

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Software Engineer Internships

Brockton, MA

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

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All JobsScientific Software Engineer JobsScientific Software Engineer Jobs in Boston, MA

Scientific Software Engineer information

See Boston, MA salary details

$16

$42

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How much do scientific software engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for scientific software engineer in Boston, MA is $42.76, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $62.40 per hour, depending on experience, location, and employer.

What is a scientific software engineer?

Scientific Software Engineers are professionals who design, develop, and maintain software applications tailored for scientific research and data analysis. They collaborate with scientists and researchers to create computational tools, simulations, or data processing pipelines that enable complex experiments and facilitate discovery. Their role often requires expertise in both domain-specific science and advanced programming, ensuring that software solutions are robust, efficient, and reproducible. Scientific Software Engineers typically work in academic institutions, research labs, or industries such as biotechnology, pharmaceuticals, and climate science.

How does a scientific software engineer typically collaborate with researchers and domain experts on projects?

Scientific Software Engineers frequently work closely with researchers, scientists, and domain experts to translate complex scientific requirements into robust and efficient software solutions. Collaboration often involves participating in project meetings, understanding specific scientific models or data workflows, and iteratively refining software based on user feedback. This role requires strong communication skills and the ability to bridge the gap between technical software development and domain-specific needs, ensuring that the resulting tools are both scientifically accurate and user-friendly.

What are the key skills and qualifications needed to thrive as a scientific software engineer, and why are they important?

To thrive as a Scientific Software Engineer, you need a strong background in computer science, mathematics, and scientific domains, often with an advanced degree in a STEM field. Familiarity with programming languages like Python, C++, and MATLAB, as well as experience with scientific computing libraries and version control systems, is typically required. Excellent problem-solving skills, attention to detail, and effective collaboration are essential soft skills for this role. These competencies enable the development of robust and efficient scientific software, facilitating research and innovation in scientific projects.

What is the difference between Scientific Software Engineer vs Data Scientist?

AspectScientific Software EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related fields; programming skillsBachelor's or Master's in Data Science, Statistics, or related fields; programming and analytical skills
Work EnvironmentResearch labs, scientific organizations, tech companies focusing on simulation and modelingBusiness, tech companies, research institutions analyzing large datasets
Industry UsageScientific research, engineering, simulation developmentData analysis, predictive modeling, machine learning applications

While both roles require programming skills and a strong technical background, Scientific Software Engineers focus on developing software for scientific research and simulations, whereas Data Scientists analyze data to extract insights and build models. The roles often overlap in skills but differ in their primary objectives and work environments.

How to become a scientific software engineer?

To become a scientific software engineer, typically a bachelor's degree in computer science, software engineering, or a related field is required, often complemented by experience in scientific computing, programming languages like Python or C++, and familiarity with scientific tools and data analysis. Gaining practical experience through internships, research projects, or contributing to open-source scientific software can also be beneficial. Advanced roles may require a master's or Ph.D. in a scientific discipline or computer science.

What are popular job titles related to Scientific Software Engineer jobs in Boston, MA?

For Scientific Software Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Scientific Software Engineer jobs in Boston, MA look for?

The top searched job categories for Scientific Software Engineer jobs in Boston, MA are:

Scientific Software Engineer jobs near you
Infographic showing various Scientific Software Engineer job openings in Boston, MA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 10% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $88,933 per year, or $42.8 per hour.

Evergreen Rising Stars in Scientific Computing

Watertown, MA • On-site

Flexcompute Inc.
Software Development • 11 - 50 employees
Learn more about Flexcompute Inc.external

Full-time

Medical, Retirement

Re-posted 28 days ago

Job description

Flexcompute is a cutting-edge technology startup that specializes in ultra-fast simulation technology. Our products are utilized by companies in designing and optimizing technology products, with applications ranging from designing airplanes and cars to wind turbines and quantum computing chips. Our customer base includes both household names and startups in emerging industries. Our company was founded by world-renowned leaders in simulation technology from Stanford University and MIT. Backed by top VC firms, we are poised to disrupt the billion-dollar engineering simulation industry with our fast-growing trajectory

The program, running from 2024 through 2026, is designed to enlist ten exceptional recent graduates from the fields of Engineering, Physics, Mathematics, or Computer Science. These recruits will grow into the core part of our technical team, driving our company's growth into the 2030s. You will be paired with a senior technical staff member who will serve as your mentor. Working closely with one of the best engineers and scientists in the world of scientific computing, you will learn and grow quickly. From day one, you will work on challenging technical problems, from analyzing stubborn divergence to untangling complex system coupling, from streamlining workflow to optimizing GPU efficiency, from multi-physics to multi-scale. These challenges are not suitable for everyone. But if you are ambitious, motivated, and prepared to make a significant impact in the field of scientific computing, you will find them immensely rewarding.

Immediate Responsibilities:

  1. Physics computing: Develop algorithms and software for physics simulation in electromagnetics, photonics, fluid dynamics, thermal and structural analysis.
  2. Infrastructure computing: Develop algorithms and software to deliver exceptional computing experiences. This includes optimizing efficiency of GPU computing systems, management and visualization of high-volume large-scale scientific data, geometry handling and computing, AI for scientific computing, and next-generation workflow optimization.

Growth Trajectory in 3 years:

  1. Respected experts in computational electromagnetics, fluid dynamics, thermal and structural analysis.
  2. Senior frontend or backend developers.
  3. Elite HPC specialists.
  4. Emerging software architects.
  5. Dynamic engineering managers.
  6. Creative product managers.
  7. Persuasive marketers.
  8. Result-driven technical sales.

Requirements

Required Qualifications:

  1. Recent graduate or graduating students in Engineering, Physics, Math, or Computer Science.
  2. Exceptional programming skills in C++. (The lack of C++ skills can be offset by a proven record of extensive contribution to open source projects in other programming languages.)

Preferred:

  • Strong background in Electromagnetics, Photonics, Computational Geometry, Fluid Mechanics, Structural Mechanics, Aeroacoustics, Conjugate Heat Transfer, or adjacent fields.
  • Familiarity with numerical methods for solving large scale partial differential equations.
  • Master degree or PhD in an applicable technical field with 0-3 years of industry experience.
  • Familiarity with version control systems such as git and the Linux command line.
  • Familiarity with MPI, OpenMP, CUDA.

Join our "Rising Stars in Scientific Computing" program and seize the unique opportunity to work with leading experts in the field of scientific computing. Be part of a company that is pushing the boundaries of innovation. Apply today!

Benefits

Competitive salary

Meaningful equity of early-stage startup

401K contribution

Health insurance