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Parallel Computing Jobs in Cambridge, MA (NOW HIRING)

Saviance

Sr. Engineer- AI/ML

Boston, MA · On-site

$113K - $155K/yr

Responsibilities : • Strong background in Machine Learning applied to complex spatial computing ... models using parallel and sequential architectures, tailoring the approach to the specific ...

Catalog

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 ...

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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 Sep 13, 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 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 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 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 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.

Is parallel computing hard?

Parallel computing as a job involves designing and managing systems that perform multiple calculations simultaneously, which requires strong problem-solving skills, knowledge of algorithms, and proficiency with programming tools like MPI or OpenMP. The difficulty depends on the complexity of tasks and the level of expertise, but it generally involves understanding concurrency, synchronization, and performance optimization. Gaining experience through coursework, certifications, and hands-on projects can help reduce the learning curve.

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 August 2026, with employment types broken down into 30% Full Time, and 70% Contract. Highlights an 100% In-person job distribution, with an average salary of $57,228 per year, or $27.5 per hour.

Software Developer at Algorithmic Trading Hedge Fund Boston

Boston, MA

Domeyard LP
Finance and Insurance • 11 - 50 employees
Learn more about Domeyard LPexternal

Full-time

Re-posted 28 days ago

Job description

Company Description

Domeyard, LP is a quantitative hedge fund startup based in Boston, Massachusetts. We focus on developing low latency technologies to achieve extremely consistent, long-term capital growth enabling us to save millions of dollars for market investors each year. Our trading strategies are derived from the latest advances in high-performance computing and data analysis, making us one of the fastest market participants in the world. Domeyard operates around the clock, trading a diverse range of asset classes, including equities, futures, fixed income instruments, energy products and commodities. Innovation is our main differentiator: on any given day, we process more order messages than Google searches and Twitter messages combined. Our continuous pursuit of improvement to our technology enables us to uncover opportunities that are grossly inaccessible to mainstream fund managers and their investment vehicles. For its notable role in the industry, Domeyard is also the protagonist of Harvard Business School's first case study about high frequency trading. 


Job Description

**Bonus: Apply on our company website (takes 3 min) http://grnh.se/04vnc7

Setting New Thresholds for Modern Computing

Domeyard is seeking a Software Engineer to work with us on the cutting edge of financial technologies. Every day is a learning exercise: you will explore the frontiers of computer science, in areas such as distributed systems, concurrency, operating systems, networks, computer architecture, data analysis and UI design. We develop and iterate quickly; you will have access to every line of code and can switch between many projects.

You must meet at least one of these minimum requirements:

  • 5+ years of working experience in C/C++ in a UNIX environment.
  • Demonstrated success in architecting low latency applications in C++.


Qualifications

In addition, here are some of the skills that we're looking for:

  • Strong knowledge of software design patterns and best practices.
  • Experience with parallel and distributed computing.
  • Interest in a career outside large tech or financial firms.
  • Experience collaborating on large software projects.
  • Knowledge of financial trading systems (feed handlers, OMS, order execution, binary/direct/prop feeds, or FIX engines).
Additional Information

***IMPORTANT: Please apply via the link below (takes <5 minutes)*** 

http://grnh.se/04vnc7

Apply