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Parallel Computing Jobs in Massachusetts (NOW HIRING)

Accenture

AI & HPC Infrastructure Engineer

Boston, MA · On-site

$116K - $153K/yr

Design and implement AI infrastructure and accelerated computing solutions, aligning system ... parallel file systems, VAST, Weka, or DDN. * Minimum of 5+ years of experience with cluster ...

Catalog

Biophysics Programmer

Charlestown, MA · On-site

... 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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Parallel Computing information

See Massachusetts salary details

$27.3K

$57.2K

$98.8K

How much do parallel computing jobs pay per year?

As of Aug 23, 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 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 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:

Parallel Computing jobs near you
Infographic showing various Parallel Computing job openings in Massachusetts as of August 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 100% In-person job distribution, with an average salary of $57,184 per year, or $27.5 per hour.

Principal Software Engineer - Compiler Development

Cadence Design Systems Inc.

Burlington, MA • On-site

$117K - $218K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Cadence Design Systems rating

9.0

Company rating: 9.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

34th of 246 rated software companies

Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Job Description

Cadence Design Systems is a leading provider of the software, hardware, and intellectual property required to design complex integrated circuits and electronic systems. By offering Electronic Design Automation (EDA)tools, they enable engineers to simulate, verify, and optimize chip designs for various high-growth industries, including automotive, 5G, and hyperscale computing. Beyond software, Cadence provides specialized hardware for emulation and prototyping, alongside a strategy focused on Intelligent System Designthat integrates AI and multiphysics analysis to streamline the development of modern electronics.

The Xcelium compiler and build performance team develops the compiler and code generator for Xcelium logic simulator. We are developing the next generation compiler capable of verifying highly complex chip designs

Join the team behind Xcelium, the industry-leading logic simulator, to architect the next generation of hardware verification technology. As a Senior Engineer in the System Verification Group, you will be at the forefront of EDA innovation, evolving the SystemVerilogcompiler to meet the staggering complexity of future AI and hyperscale chip designs.

We are looking for dynamic engineers who thrive on "impossible" scaling challenges and want to invent the algorithms that will power tomorrow's silicon.

Key Responsibilities

  • Language Evolution:Design and implement advanced SystemVerilog language extensions.

  • Compiler Architecture:Develop and optimize high-performance front-end and code generation compiler components, focusing on intermediate representations (IR) that scale to multi-billion gate designs.

  • Performance Engineering:Conduct deep-dive bottleneck analysis and implement performance optimizationsin C/C++ to improve compilation speed and memory footprint.

  • Design Scalability:Architect compiler and simulator specifically tuned for complex AI designs, ensuring the engine can handle the massive replicated and parallel structures inherent in next-gen neural processing units (NPUs).

  • Innovation & Research:Explore and prototype "blue-sky" features, LLM enhanced Compilation, parallel compilation, distributed compilation.

Qualifications

  • BS with a minimum of 10 years of experience OR MS with a minimum of 7 years of experience OR PhD with a minimum of 5 years of experience

  • 5+ years in Compiler Development, EDA, or High-Performance Computing.

  • Expert-level C++(modern standards) and a deep understanding of SystemVerilogor Verilog.

  • Proven track record in compiler theory (lexing, parsing, semantic analysis, code generation).

  • Experience with multi-threading, memory management, and cache-locality optimizations.

  • An inventive spirit with the desire to challenge the status quo of traditional EDA tools.

Why This Role is Exciting

"You aren't just maintaining a tool; you are building the backbone of the semiconductor industry. As AI chips grow in complexity, the compiler becomes the primary gatekeeper of engineering productivity. Here, you will invent the techniques that allow the world's most advanced chips to reach the market."

  • Scale:Work on codebases that manage the largest designs on the planet.

  • Impact:Your optimizations directly reduce the "time-to-market" for global tech giants.

  • Future-Proofing:Be part of the transition toward AI-accelerated chip design and cloud-scale verification.

Desirable Skills

  • Knowledge of LLVM or similar compiler frameworks.

  • Experience with Python for internal tooling and test automation.

  • Familiarity with hardware verification environments (UVM).

Are you ready to build the compiler that designs the future? Apply to join the System Verification Grouptoday.

The annual salary range for Massachusetts is $117,600 to $218,400. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.

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