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Scientific Computing Jobs (NOW HIRING)

RCH Solutions

Scientific Computing Cloud Architect

Wayne, PA · Remote

$66.50 - $84.75/hr

We're relentless in our pursuit for innovation and demanding of ourselves to deliver a ground-breaking computing experience for our clients, so that they can deliver life-saving science to humanity.

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How much do scientific computing jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for scientific computing in the United States is $31.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $40.14 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of someone working in Scientific Computing?

Professionals in Scientific Computing typically spend their days developing and optimizing computational models, writing code to analyze large datasets, and running simulations on high-performance computing systems. They often collaborate closely with scientists, researchers, or engineers to interpret results and improve methodologies. Depending on the industry, they may also be responsible for documenting workflows, troubleshooting complex issues, and staying current with technological advances in their field. Daily work often involves problem-solving, technical meetings, and the continuous improvement of algorithms and computational processes.

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

To thrive in Scientific Computing, you need a strong background in mathematics, computer science, and scientific principles, often supported by a relevant degree such as physics, engineering, or computational science. Proficiency with programming languages like Python, C++, or MATLAB, experience with high-performance computing (HPC) systems, and familiarity with scientific software and libraries are typically essential. Excellent problem-solving abilities, teamwork, and clear communication skills are important soft skills for this role. These skills enable professionals to develop efficient computational solutions, collaborate effectively across multidisciplinary teams, and drive progress in research and innovation.

What is a Scientific Computing job?

A Scientific Computing job involves using advanced computational methods, algorithms, and mathematical modeling to solve complex scientific and engineering problems. Professionals in this field develop and optimize software, perform simulations, and analyze large datasets to support research in disciplines like physics, biology, and engineering. They often work with high-performance computing (HPC) systems and programming languages such as Python, C++, or Fortran. These roles are commonly found in academia, government research labs, and industries like aerospace, pharmaceuticals, and finance.

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Scientific Computing jobs near you
Infographic showing various Scientific Computing job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $65,473 per year, or $31.5 per hour.
Evergreen Rising Stars in Scientific Computing

Evergreen Rising Stars in Scientific Computing

Flexcompute Inc.

Watertown, MA

Full-time

Medical, Retirement

Posted 19 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

The program, running from 2024 through 2026, is designed to enlist ten exceptional recent graduates from the fields of Engineering, Physics, Mathematics, or Computer Science. These recruits will grow into the core part of our technical team, driving our company's growth into the 2030s. You will be paired with a senior technical staff member who will serve as your mentor. Working closely with one of the best engineers and scientists in the world of scientific computing, you will learn and grow quickly. From day one, you will work on challenging technical problems, from analyzing stubborn divergence to untangling complex system coupling, from streamlining workflow to optimizing GPU efficiency, from multi-physics to multi-scale. These challenges are not suitable for everyone. But if you are ambitious, motivated, and prepared to make a significant impact in the field of scientific computing, you will find them immensely rewarding.

Immediate Responsibilities:

  1. Physics computing: Develop algorithms and software for physics simulation in electromagnetics, photonics, fluid dynamics, thermal and structural analysis.
  2. Infrastructure computing: Develop algorithms and software to deliver exceptional computing experiences. This includes optimizing efficiency of GPU computing systems, management and visualization of high-volume large-scale scientific data, geometry handling and computing, AI for scientific computing, and next-generation workflow optimization.

Growth Trajectory in 3 years:

  1. Respected experts in computational electromagnetics, fluid dynamics, thermal and structural analysis.
  2. Senior frontend or backend developers.
  3. Elite HPC specialists.
  4. Emerging software architects.
  5. Dynamic engineering managers.
  6. Creative product managers.
  7. Persuasive marketers.
  8. Result-driven technical sales.

Requirements

Required Qualifications:

  1. Recent graduate or graduating students in Engineering, Physics, Math, or Computer Science.
  2. Exceptional programming skills in C++. (The lack of C++ skills can be offset by a proven record of extensive contribution to open source projects in other programming languages.)

Preferred:

  • Strong background in Electromagnetics, Photonics, Computational Geometry, Fluid Mechanics, Structural Mechanics, Aeroacoustics, Conjugate Heat Transfer, or adjacent fields.
  • Familiarity with numerical methods for solving large scale partial differential equations.
  • Master degree or PhD in an applicable technical field with 0-3 years of industry experience.
  • Familiarity with version control systems such as git and the Linux command line.
  • Familiarity with MPI, OpenMP, CUDA.

Join our "Rising Stars in Scientific Computing" program and seize the unique opportunity to work with leading experts in the field of scientific computing. Be part of a company that is pushing the boundaries of innovation. Apply today!

Benefits

Competitive salary

Meaningful equity of early-stage startup

401K contribution

Health insurance

Apply