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Parallel Computing Jobs in Cambridge, MA (NOW HIRING)

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Biophysics Programmer

Charlestown, MA

... parallel computation. We're innovating a cutting-edge DNA computing platform, and we are seeking a dynamic Computational Scientist with a background in synthetic or molecular biology to join our ...

Roberts Recruiting

Big Data Architect

Framingham, MA · On-site

$65.50 - $84.25/hr

... parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL ... Experience in technical computing (optimization, statistics and machine learning) * Experience with ...

Flexcompute Inc.

CFD Solver Developer

Watertown, MA

C++ for scientific computing and Python (or similar) for scripting * Master degree or PhD in an ... Development of scalable, parallel CFD solvers using MPI, OpenMP, or CUDA How You Will Be Successful:

Flexcompute Inc.

CFD Solver Developer

Watertown, MA · On-site

C++ for scientific computing and Python (or similar) for scripting * Master degree or PhD in an ... Development of scalable, parallel CFD solvers using MPI, OpenMP, or CUDA How You Will Be Successful:

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All JobsParallel Computing JobsParallel Computing Jobs in Cambridge, MA

Parallel Computing information

See Cambridge, MA salary details

$27.3K

$57.2K

$98.9K

How much do parallel computing jobs pay per year?

As of Jun 21, 2026, the average yearly pay for parallel computing in Cambridge, MA is $57,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,700.00 and $65,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Parallel Computing Specialist, and why are they important?

To thrive as a Parallel Computing Specialist, you need strong knowledge of computer architecture, parallel algorithms, and experience with programming languages such as C/C++, Python, and frameworks like MPI or OpenMP, often supported by a degree in computer science or a related field. Familiarity with high-performance computing (HPC) environments, GPU programming (CUDA, OpenCL), and cloud-based parallel processing systems is typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills in this role. These skills are vital for efficiently designing, optimizing, and implementing solutions that leverage parallelism to significantly accelerate computational tasks.

What are some common challenges faced by professionals working in parallel computing roles?

Professionals in parallel computing often encounter challenges such as efficiently dividing complex tasks among multiple processors and minimizing communication overhead between them. Debugging and optimizing performance across parallel architectures can be difficult, as issues like race conditions and load imbalances frequently arise. Additionally, staying current with evolving hardware technologies and parallel programming frameworks is essential to ensure solutions remain efficient and scalable. Collaborating with cross-functional teams, such as data scientists and system architects, is also crucial for integrating parallel solutions into larger projects.

What is the difference between Parallel Computing vs Data Analyst?

AspectParallel ComputingData Analyst
Required CredentialsComputer Science or Engineering degree, programming skillsStatistics, Data Science, or related degree, analytical skills
Work EnvironmentResearch labs, tech companies, high-performance computing centersBusiness, finance, healthcare, corporate offices
Industry UsageTechnology, research, scientific computingBusiness intelligence, market analysis, reporting

While Parallel Computing focuses on developing algorithms to process large data sets efficiently across multiple processors, Data Analysts interpret data to provide actionable insights. Both roles require strong technical skills but serve different purposes: one enhances computational performance, the other informs business decisions.

What is parallel computing?

Parallel computing is a type of computation where many calculations or processes are carried out simultaneously, leveraging multiple processors or computers to solve complex problems more efficiently. It divides large tasks into smaller ones that can be executed concurrently, significantly speeding up processing time. Commonly used in scientific research, data analysis, and engineering, parallel computing is essential for handling large-scale simulations and big data applications.
What are popular job titles related to Parallel Computing jobs in Cambridge, MA? For Parallel Computing jobs in Cambridge, MA, the most frequently searched job titles are:
What job categories do people searching Parallel Computing jobs in Cambridge, MA look for? The top searched job categories for Parallel Computing jobs in Cambridge, MA are:
Parallel Computing jobs near you
Infographic showing various Parallel Computing job openings in Cambridge, MA as of June 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 74% Physical, 6% Hybrid, and 20% Remote job distribution, with an average salary of $57,228 per year, or $27.5 per hour.
Boston - VDC Manager

Boston - VDC Manager

The Whiting-Turner Contracting Company

Marlborough, MA • On-site

$85K - $115K/yr

Full-time

Posted 16 days ago

Job description

Job Description
Please note:
  • Applying for positions in multiple locations will result in a longer vetting process.
  • The Whiting-Turner Contracting Company is an Equal Opportunity Employer, including the disabled and veterans.

Whiting-Turner is looking for a self-motivated, energetic, dynamic, confident, tech savvy individual who is passionate for creating virtual building efficiencies within the construction industry. #LI-KA1
This individual will:
  • Have on the job experience with BIM/VDC applications & processes.
  • Have extensive knowledge of construction & the built environment.
  • Lead the execution of the Virtual Building process.
  • Review and provide feedback on constructability of Design Intent models provided by design partners.
  • Manage and review fabrication building information models (BIMs) created by subcontractors to facilitate 3D coordination and Clash detection, shop drawing production and prefabrication.
  • Utilize the coordinated model to support field installation and As-built model delivery at project closeout.
  • Be proficient in reading construction drawings, understanding specifications and building codes, and other technical data.
  • Bring creativity and innovation to their projects & groups. Test new software & technologies and make recommendations on the use for project specific needs.
  • Manage subcontractors and run effective meetings.
  • Create 3D visualizations as necessary during project lifecycles.
  • Thrive in a team environment both contributing to larger projects and producing independent work.
  • Have an innately curious, forward-thinking personality to push innovative ideas in all aspects of daily tasks.
  • Be able to multi-task and deliver parallel successful products.

Software Skills:
  • Excellent General Computing Skills
  • Understand Cloud-based file sharing
  • Autodesk Navisworks Manage
  • Autodesk Revit
  • Sketchup
  • Exposure to one or more of the following software is strongly encouraged: Tekla, AutoCAD, AutoCAD MEP, CAD-Duct, CAD-Mech, Assemble, Revitzo, Synchro, Fuzor, Solibri, etc.

Soft Skills:
  • Excellent written and oral communication skills
  • Self motivated, energetic, detailed oriented, and open minded
  • Ability to work well with cross-discipline teams
  • Skilled at problem solving
  • Strong Time-Management Skills

Required Skills
Years of Experience: 3-5
Education: Bachelor's degree (or equivalent) with preference given to Engineering or Construction Management related degrees.

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