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Parallel Computing Jobs in Massachusetts (NOW HIRING)

Big Data Architect

Framingham, MA

$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 ...

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:

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:

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:

Demonstrable understanding of software engineering principles, including parallel and distributed computing, version control, reproducibility, and continuous integration. * Demonstrated experience ...

ASIC/FPGA Design Engineer V

North Andover, MA · On-site

$124.20K - $171.20K/yr

... computing environment. Support technical reviews and present to internal and external stakeholders. Interface with an independent verification team who will be working in parallel, verifying the ...

Machine Learning Engineer, Distributed vLLM

Boston, MA · On-site +1

$136.32K - $287.41K/yr

Strong understanding of computer architecture, parallel processing, and distributed computing concepts * Bachelor's degree in computer science or related field is an advantage, though we prioritize ...

Senior Software Engineer, Next Gen Compute

Boston, MA · Hybrid

$133.10K - $175.50K/yr

Experience with parallel and high-performance computing. * Comfortable with experimentation and evaluating different options as we work towards finding solutions that work. * A degree in Software ...

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Parallel Computing information

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$27.3K

$57.2K

$98.8K

How much do parallel computing jobs pay per year?

As of May 31, 2026, the average yearly pay for parallel computing in Massachusetts is $57,184.00, 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 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 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 are popular job titles related to Parallel Computing jobs in Massachusetts? For Parallel Computing jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Parallel Computing jobs in Massachusetts look for? The top searched job categories for Parallel Computing jobs in Massachusetts are:
What cities in Massachusetts are hiring for Parallel Computing jobs? Cities in Massachusetts with the most Parallel Computing job openings:
Infographic showing various Parallel Computing job openings in Massachusetts as of May 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution, with an average salary of $57,184 per year, or $27.5 per hour.
Quantum Optics Communication Engineer-Technical Staff

Quantum Optics Communication Engineer-Technical Staff

MIT Lincoln Laboratory

Lexington, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

The Optical and Quantum Communication Group develops impactful quantum and classical technologies and system prototypes for use in a wide range of challenging applications in terrestrial, space and underwater environments. Primary areas of research include the development of novel entangled-photon source technologies and quantum memory systems; novel quantum link architectures; sensitive single-photon receivers; novel modulation and coding approaches; multi-format laser-comm modems; robust and compact free-space optical beam directors; and precision beam pointing, link acquisition and tracking systems. The group is leveraging these technologies for use in prototype systems that are deployed in the field to inform next-generation quantum and classical optical system capabilities. Examples of near-term field tests include terabit-per-second direct-to-Earth small-satellite constellations, near-Earth wideband relay laser communication terminal hardware for space and ground terminal use, and next-generation beam-director prototypes that are inherently scalable to deep-space optical comm systems, and quantum state transfer across a regional quantum network testbed.
Position Description
The Optical & Quantum Communications Technology Group is seeking a full-time Quantum Optics Communication Engineer to support programs targeting development of entanglement-based quantum communication network architectures and applications including, for example, distributed sensing and interconnected parallel quantum computing. The successful candidate should be proficient with quantum optical theory and have some familiarity with the experimental implementations and the practical limitations of quantum optical systems. The candidate should be able to analyze architectures for entanglement distribution, including: entanglement generation, Bell-state measurements, quantum memories with photonic interfaces (e.g., diamond defect-center based memories), qubit transduction, entanglement distillation, and interconnected quantum processors. Strongly desired is the ability to conduct information-theoretic communication system analysis with the goal of developing system architecture and design concepts to provide enhanced communications connectivity, bandwidth and performance. It is also desirable for the successful candidate to engage in proof-of-concept hardware or software demonstrations to validate new system capabilities and technology. Finally, familiarity with fiber-optics, integrated photonics, and free-space optical channels is desired.
Minimum Qualifications
  • Ph.D. in Electrical Engineering, Physics, Mathematics
  • Strong mathematical foundation and experience with quantum optics theory
  • Experience working in a quantum optics group performing communications theory, information theory or signal processing analysis
  • Experience with entanglement-based communications, sensing and computing applications and quantum network architectures
  • Experience with state teleportation, fidelity analysis, and entanglement distillation
  • Experience with basic concepts of quantum computing
  • Excellent communication skills, both oral and written
  • Willingness to work in a team environment

Recent Graduate Hiring Range: $145,200-$170,000
Experienced Hiring Range: $145,200-$220,000
Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.
At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:
  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.
Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.
MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.
Requisition ID: 42740