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Scientific Computing Jobs in Boston, MA (NOW HIRING)

TechData Service Company LLC

Be Seen First

IT Data Engineer - BB4352

Cambridge, MA · On-site

$70 - $95/hr

... ML, and scientific computing workloads. · Integrate Seqera workflows with AWS cloud infrastructure and compute environments. · Support containerized workflows using Docker and Kubernetes ...

QuEra Computing, Inc.

Scientific Intern

Boston, MA · On-site

$16.25 - $21.75/hr

Quera Computing is actively seeking a summer intern soon to enter university for an internship role supporting our Scientific teams with a variety of support projects and initiatives. Prefer: sound ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

... Python scientific computing stack (NumPy, Pandas, scikit-learn) • Experience with distributed computing and GPU optimization techniques • Familiarity with protein structure analysis ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

... Python scientific computing stack (NumPy, Pandas, scikit-learn) • Experience with distributed computing and GPU optimization techniques • Familiarity with protein structure analysis ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

... Python scientific computing stack (NumPy, Pandas, scikit-learn) • Experience with distributed computing and GPU optimization techniques • Familiarity with protein structure analysis ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

... Python scientific computing stack (NumPy, Pandas, scikit-learn) • Experience with distributed computing and GPU optimization techniques • Familiarity with protein structure analysis ...

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Scientific Computing information

See Boston, MA salary details

$15

$34

$56

How much do scientific computing jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for scientific computing in Boston, MA is $34.20, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $43.61 per hour, depending on experience, location, and employer.

What does someone working in scientific computing do?

Professionals in Scientific Computing typically spend their days developing and optimizing computational models, writing code to analyze large datasets, and running simulations on high-performance computing systems. They often collaborate closely with scientists, researchers, or engineers to interpret results and improve methodologies. Depending on the industry, they may also be responsible for documenting workflows, troubleshooting complex issues, and staying current with technological advances in their field. Daily work often involves problem-solving, technical meetings, and the continuous improvement of algorithms and computational processes.

What are the key skills and qualifications needed to thrive in scientific computing?

To thrive in Scientific Computing, you need a strong background in mathematics, computer science, and scientific principles, often supported by a relevant degree such as physics, engineering, or computational science. Proficiency with programming languages like Python, C++, or MATLAB, experience with high-performance computing (HPC) systems, and familiarity with scientific software and libraries are typically essential. Excellent problem-solving abilities, teamwork, and clear communication skills are important soft skills for this role. These skills enable professionals to develop efficient computational solutions, collaborate effectively across multidisciplinary teams, and drive progress in research and innovation.

What is scientific computing?

A Scientific Computing job involves using advanced computational methods, algorithms, and mathematical modeling to solve complex scientific and engineering problems. Professionals in this field develop and optimize software, perform simulations, and analyze large datasets to support research in disciplines like physics, biology, and engineering. They often work with high-performance computing (HPC) systems and programming languages such as Python, C++, or Fortran. These roles are commonly found in academia, government research labs, and industries like aerospace, pharmaceuticals, and finance.

What are the most commonly searched types of Scientific Computing jobs in Boston, MA? The most popular types of Scientific Computing jobs in Boston, MA are:
What are popular job titles related to Scientific Computing jobs in Boston, MA? For Scientific Computing jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Scientific Computing jobs in Boston, MA look for? The top searched job categories for Scientific Computing jobs in Boston, MA are:
Scientific Computing jobs near you
Infographic showing various Scientific Computing job openings in Boston, MA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $71,126 per year, or $34.2 per hour.

Software Engineer, Infrastructure

Flexcompute Inc.

Watertown, MA • On-site

$188K - $223K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 8 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.

Tidy3D is a GPU-accelerated electromagnetic simulation product delivered as a cloud service. Behind the solver sits the platform that makes everything work: the Python client, the API, the job submission and scheduling layer, and the web application.

We are hiring a Software Engineer for the Tidy3D infrastructure team to own that platform. You will build new capability, keep the existing system healthy, and run the release and deployment process.

Responsibilities


Design and build backend services for the Tidy3D platform.

  • Develop and operate the control plane: the APIs, services, and data model behind task submission, job state, and result delivery.
  • Build scheduling and resource management for simulation jobs across heterogeneous GPU capacity.
  • Handle the operational concerns that come with a multi-tenant product: authentication, authorization, usage metering, and quota enforcement.


Help with the deployment of our products to customers.

  • Manage packaging and release to PyPI, and keep client and backend versions compatible across a long tail of installed versions.
  • Own the release pipeline end to end: versioning, CI/CD, staged rollout, and rollback.
  • Standardize deployment patterns so the same product ships to our cloud, to customer-managed cloud accounts, and to on-premises installations.


Keep production healthy.

  • Instrument the platform and own its monitoring and alerting.
  • Respond to incidents and debug across boundaries, from a customer's Python traceback down to a stuck job on a GPU node.
  • Manage cloud cost and capacity as usage grows.

Requirements

  • 2+ years building and operating production cloud services. New grads with exceptional background are encouraged to apply too.
  • Strong Python. You have written backend services in it, not just scripts.
  • Hands-on experience with a major cloud provider such as AWS, Docker, and Kubernetes.
  • Infrastructure as code in production, ideally Terraform, with reusable modules rather than hand-managed environments.
  • Linux fluency and comfort operating in production.


Nice to have

  • GPU or HPC workloads, cluster schedulers such as Slurm, Ray, or Kueue, or high-throughput batch compute.
  • Designing, packaging, and distributing a developer-facing Python library or SDK.
  • On-premises, self-hosted, or air-gapped software deployment, and the enterprise requirements that come with it: SSO, network isolation, security review.
  • A background in physics, engineering, or scientific computing, or prior work on technical software for technical users.
  • Open source contributions to infrastructure or scientific computing projects.

Benefits

  • Competitive compensation with equity of a fast-growing startup.
  • Medical, dental, and vision health insurance.
  • 401(k) Contribution.
  • Gym allowance.
  • Friendly, thoughtful, and intelligent coworkers.