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Parallel Programming Jobs in Massachusetts (NOW HIRING)

Senior Engineer, Robotics

Boston, MA · On-site

$113.50K - $155.90K/yr

Our platform enables users to simulate, test, and optimize entire robotic systems in parallel. By ... programming. Our Resolver technology automatically generates collision-free robot programs by ...

Senior Engineer, Robotics

Boston, MA · On-site

$113.50K - $155.90K/yr

Our platform enables users to simulate, test, and optimize entire robotic systems in parallel. By ... programming. Our Resolver technology automatically generates collision-free robot programs by ...

Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or ...

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Parallel Programming information

See Massachusetts salary details

$88.5K

$121K

$142K

How much do parallel programming jobs pay per year?

As of May 31, 2026, the average yearly pay for parallel programming in Massachusetts is $120,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,900.00 and $130,500.00 per year, depending on experience, location, and employer.

What is a Parallel Programming job?

A Parallel Programming job involves developing software that can execute multiple tasks or computations simultaneously to improve performance and efficiency. Professionals in this field work with multi-core processors, distributed systems, and GPU computing to optimize software for speed and scalability. They typically use programming models like MPI, OpenMP, or CUDA to implement parallelism. Industries such as high-performance computing, data science, and machine learning heavily rely on parallel programming to handle large-scale computations.

What are the key skills and qualifications needed to thrive in the Parallel Programming position, and why are they important?

To excel in Parallel Programming, you need a solid background in computer science, strong proficiency in languages such as C/C++, Python, or Java, and experience with parallel computing frameworks. Familiarity with tools like OpenMP, MPI, CUDA, or parallel processing libraries, as well as relevant certifications or coursework, is highly valuable. Analytical thinking, collaboration, and effective problem-solving are essential soft skills for success in this role. These competencies enable professionals to efficiently develop, debug, and optimize scalable applications in high-performance computing environments.

What are some typical challenges encountered in a Parallel Programming role?

Professionals in parallel programming often face challenges such as identifying code sections that can be effectively parallelized, managing data dependencies, and handling synchronization between parallel tasks. Debugging and optimizing performance in multi-threaded or distributed environments can also be complex, requiring patience and attention to detail. Collaboration with data scientists, hardware engineers, and other software developers is common, as projects frequently involve cross-functional teamwork. Overcoming these challenges is a rewarding part of the job, leading to faster, more efficient software solutions that can have a significant impact in fields like scientific computing, finance, and machine learning.

What job makes $10,000 a month without a degree?

In the field of parallel programming, highly skilled software developers or engineers working on complex systems can earn $10,000 or more per month, especially with expertise in high-demand areas like GPU programming, distributed systems, or specialized frameworks. These roles often require strong coding skills, experience with parallel algorithms, and proficiency in tools such as CUDA or OpenCL, but may not always require a formal degree if demonstrated through a strong portfolio or certifications.
What are the most commonly searched types of Parallel Programming jobs in Massachusetts? The most popular types of Parallel Programming jobs in Massachusetts are:
What are popular job titles related to Parallel Programming jobs in Massachusetts? For Parallel Programming jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Parallel Programming jobs in Massachusetts look for? The top searched job categories for Parallel Programming jobs in Massachusetts are:
CFD Geometry and Meshing Developer

CFD Geometry and Meshing Developer

Flexcompute Inc.

Watertown, MA

Full-time

Medical, Dental, Vision, Retirement

Posted 3 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

Responsibility

You will play a crucial role in the design, development, and optimization of our backend 3D geometry, visualization, and meshing technology, conduct architectural design, and optimize product performance and experience. As a key force in our team, you will play a central role in advancing the application of cutting-edge 3D technology. You will work closely with our R&D team and front-end engineers to implement new features, improve user experience, and ensure the highest quality standards are met. Your work will contribute to the continued growth and success of Flexcompute Inc. as a leader in simulation technology.

  • Design and develop parallel, scalable, and real-time algorithms to support geometry manipulation, meshing, mesh adaptation, and interactive 3D visualization tools.
  • Profile and optimize feature implementation to improve speed and scalability on CPUs/GPUs
  • Collaborate with teams developing the user-interface and scientific visualization tools/technologies making user experience a priority
  • Engage with Product Management, Quality Assurance, and Documentation teams to accomplish product milestones in a timely manner
  • Follow sound software engineering practices like continuous integration and code review. The code we write today will underpin our platform simulation products for years to come - it needs to be maintainable, extensible and robust

Why Join Us?

Embarking on a career with Flexcompute means stepping onto a path of transformative growth and innovation. As part of our team, you'll have exciting opportunities to shape the future of CFD simulation. Here, your work directly contributes to developing products that are not only groundbreaking but also sustainably advancing the engineering landscape. We offer a highly collaborative environment, competitive compensation, and a benefits package designed to support our team's well-being and professional development.

If you're driven by the prospect of making a lasting impact and eager to be at the forefront of technological innovation, we invite you to apply.

Requirements

  • Bachelor's or Master's degree in Computer Science or a related field; solid foundation in computer science and networking.
  • Strong background in Computational Geometry, Graphics, and Meshing. Knowledge of numerical approximations.
  • C/C++/Cuda/MPI/OpenMP for scientific computing and Python (or similar) for scripting
  • 5+ years of work experience, 3+ years in meshing / graphics intensive development with proven contribution; exceptional candidates can be considered with relaxed criteria.
  • Good team collaboration and communication skills, adept at analyzing and solving problems with design solutions.
  • Ability to work in a fast-paced and dynamic environment

Preferred

  • Industry experience in implementing and testing new features in commercial meshing software for CFD solvers
  • PhD in Computational Science and Engineering, Mechanical Engineering or Aerospace Engineering
  • Expertise in one or more of the following topics:
    • Adaptive mesh refinement
    • Delaunay triangulation or advancing front method
    • Multi-threaded data structures for surface and volume meshing
    • Development of scalable, parallel scientific software using MPI, OpenMP, or CUDA
    • Scientific visualization techniques

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.