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Scientific Software Developer Intern Jobs in Boston, MA

Software Developer I

Bridgewater, MA ยท On-site

$72 - $104/hr

Required QualificationsBachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline, or equivalent practical experience.Up to three years of ...

As a Software Engineering Intern at HPR, you will build upon your strong academic background as you ... Pursuing a BS/MS in Computer Engineering, Computer Science or related field and have attained ...

We are seeking a hands-on software engineer to build the automation and scientific software layer that connects Amide's laboratory execution to its AI/ML platform. This role will focus on data ...

Returning Intern: Software Developer

Lowell, MA ยท On-site

$19.25 - $25.25/hr

We believe that through the application of intelligence, reason and science, we can improve ... Job Title Returning Intern: Software Developer Date posted 11-Aug-2026 Job ID 115594 City ...

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Scientific Software Developer Intern information

See Boston, MA salary details

$12

$24

$42

How much do scientific software developer intern jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for scientific software developer intern in Boston, MA is $24.87, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $26.39 per hour, depending on experience, location, and employer.

What does a scientific software developer intern do?

A Scientific Software Developer Intern assists in designing, developing, and maintaining software applications used for scientific research and data analysis. They typically work under the guidance of senior developers or scientists, contributing to coding, debugging, and testing software tools. The role often involves collaborating with researchers to understand their computational needs and implementing features that facilitate scientific experiments or simulations. Interns may also be involved in documentation and optimizing existing code for better performance. This position is ideal for students or recent graduates interested in combining software development skills with scientific problem-solving.

What are the key skills and qualifications needed to thrive as a scientific software developer intern?

To thrive as a Scientific Software Developer Intern, you need a solid background in computer science or a related field, strong programming skills (often in Python, C++, or Java), and familiarity with scientific computing concepts. Experience with version control systems (like Git), scientific libraries (such as NumPy or SciPy), and sometimes knowledge of Linux environments or HPC systems is typically required. Analytical thinking, problem-solving abilities, and effective teamwork are vital soft skills that set candidates apart. These competencies ensure you can efficiently contribute to research-driven software projects, collaborate with scientists, and develop robust scientific applications.

How does a scientific software developer intern typically collaborate with researchers and other developers during a project?

As a Scientific Software Developer Intern, you will often work closely with research scientists to understand their computational needs and translate those requirements into software solutions. Collaboration usually involves participating in team meetings, clarifying project specifications, and regularly updating progress through code reviews or documentation. You may also pair with experienced developers to learn best practices, troubleshoot issues, and integrate your work with larger codebases. This collaborative environment helps you build both technical and communication skills while ensuring the software meets scientific objectives.

What is the difference between Scientific Software Developer Intern vs Data Scientist Intern?

AspectScientific Software Developer Intern

The Scientific Software Developer Intern typically focuses on developing and maintaining scientific applications, often requiring programming skills in languages like Python, C++, or Fortran, and a background in science or engineering. They work in research labs, academia, or industry settings on data analysis, simulation, or modeling projects.

In contrast, a Data Scientist Intern primarily analyzes large datasets, builds predictive models, and uses statistical tools and machine learning techniques. They often have expertise in Python, R, SQL, and data visualization tools, working in tech companies, finance, or consulting firms.

While both roles involve programming and data handling, the Scientific Software Developer Intern emphasizes scientific computing and simulation, whereas the Data Scientist Intern focuses on data analysis and insights.

What are the most commonly searched types of Scientific Software Developer jobs in Boston, MA?

The most popular types of Scientific Software Developer jobs in Boston, MA are:

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

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

What cities near Boston, MA are hiring for Scientific Software Developer Intern jobs?

Cities near Boston, MA with the most Scientific Software Developer Intern job openings:

Infographic showing various Scientific Software Developer Intern job openings in Boston, MA as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $51,735 per year, or $24.9 per hour.

Scientific Software Engineer - AMO Simulations

QuEra Computing, Inc.

Boston, MA โ€ข On-site, Remote

$102K - $166K/yr

Full-time

Re-posted 16 days ago


Job description

Summary

QuEra Computing Inc. seeks a Scientific Software Engineer with a strong background in quantum dynamics, numerical simulation, and open quantum systems to help develop software tools for modeling neutral-atom quantum processors.

In this role, you will work at the intersection of AMO theory, scientific computing, and quantum software. You will build simulation and analysis tools that help researchers understand system behavior, model noise and decoherence, validate control protocols, and connect device-level physics to higher-level quantum computing workflows.

This role is ideal for someone who has used numerical methods to study quantum systems and wants to turn research-grade models into reliable, scalable software used by scientists and engineers.

Responsibilities

  • Develop and maintain scientific software for simulating neutral-atom quantum systems, including coherent dynamics, dissipation, noise, and measurement processes.
  • Implement numerical methods for quantum dynamics and open quantum systems, such as Lindblad master equations, quantum trajectories, Krylov subspace methods, Chebyshev polynomials, or related approaches.
  • Build production-grade software infrastructure and tools to efficiently model Rydberg interactions, atom motion, atom loss, laser control imperfections, decoherence channels, and other device-relevant effects, supporting AMO theory and device modeling efforts.
  • Collaborate with physicists and software engineers to translate theoretical models into tested, documented, and reusable software components.
  • Design simulation workflows that support benchmarking, calibration analysis, algorithm validation, and performance modeling.
  • Optimize numerical codes for accuracy, stability, performance, and usability across a range of system sizes and approximations.
  • Contribute to APIs, documentation, examples, and validation tests for internal and external users.
  • Contribute parts to QuEra's central virtualization platform to faithfully emulate hardware with AMO-informed noise.

Qualifications

  • Master's or Ph.D. in Physics, Applied Mathematics, Computer Science, Electrical Engineering, or a related field, or equivalent professional experience.
  • Strong background in quantum mechanics, AMO physics, quantum optics, or quantum information science.
  • Experience performing numerical simulations of open quantum systems, many-body quantum systems, or driven-dissipative quantum dynamics.
  • Strong programming skills in Python, Julia, C++, Rust, or similar languages used for scientific computing.
  • Experience with numerical linear algebra, differential equation solvers, Monte Carlo methods, sparse matrix methods, or high-performance simulation techniques.
  • Familiarity with modern software engineering practices, including version control, testing, code review, profiling, debugging, and documentation.
  • Ability to communicate clearly across theory, software, and experimental teams.

Preferred Qualifications

  • Experience modeling neutral atoms, Rydberg systems, trapped ions, superconducting qubits, photonic systems, or related quantum hardware platforms.
  • Familiarity with QuantumOptics.jl, QuTiP, SciPy, NumPy, ITensor, CUDA, MPI, or related scientific computing tools.
  • Experience with tensor networks, quantum trajectories, stochastic master equations, optimal control, noise spectroscopy, or error modeling.
  • Knowledge of quantum algorithms, analog quantum simulation, quantum error correction, or benchmarking methods.
  • Experience developing reusable scientific software packages or contributing to open-source scientific computing projects.
  • Comfort working with imperfect, evolving physical models and validating them against data or known limits.

The approximate base salary range for this position is $102,400 - $166,400.

We consistently monitor external market data and update base salary ranges accordingly.ย  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.ย  In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.