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How much do scientific computing jobs pay per hour?

As of Jul 30, 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.

More about Scientific Computing jobs
What cities are hiring for Scientific Computing jobs? Cities with the most Scientific Computing job openings:
What are the most commonly searched types of Scientific Computing jobs? The most popular types of Scientific Computing jobs are:
What states have the most Scientific Computing jobs? States with the most job openings for Scientific Computing jobs include:
What job categories do people searching Scientific Computing jobs look for? The top searched job categories for Scientific Computing jobs are:
Scientific Computing jobs near you
Infographic showing various Scientific Computing job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $65,473 per year, or $31.5 per hour.

Software Engineer, Scientific Computing

Vorticity, Inc

Redwood City, CA • On-site

$130K - $190K/yr

Full-time

Posted 17 days ago

Job description

Vorticity is building new scientific computing technology for some of the world's most challenging problems. We are looking for a Software Engineer to join our Applications team. You will work across mathematics, physics, and computer science to build, test, and improve scientific computing applications running on CPUs and GPUs.
This is a broad role on a small team. We are looking for someone who is smart, curious, practical, and excited to learn quickly and build useful technology. The right candidate does not need experience in any particular scientific domain. They should be interested in scientific computing and comfortable working on unfamiliar, multidisciplinary problems.
Responsibilities
  • Develop scientific computing applications and numerical methods.
  • Measure, debug, optimize, and improve computational performance.
  • Work across research, software engineering, testing, and deployment.
  • Contribute wherever needed as the technology and team evolve.
Requirements
  • Bachelor's degree or higher in mathematics, physics, computer science, engineering, or another relevant technical field.
  • Strong Python programming skills.
  • A strong foundation in mathematics, physics, and computer science.
  • Ability to operate at multiple levels of abstraction in a complex software system.
  • Comfort working across disciplines and tackling unfamiliar problems.
Preferred Skills
  • Experience with CUDA or another GPU programming environment.
  • Familiarity with scientific computing, numerical methods, simulations, signal processing, or inverse problems.
  • Experience developing and maintaining production software.

Our Applications team builds scientific software on existing computing hardware while working closely with the broader company as we develop our own Scientific Processing Unit.
As passionate scientists and engineers, we are well aware of the plethora of critical problems in the world that cannot be solved because humanity simply does not have enough computing power. To address this, Vorticity is developing a radically new silicon chip architecture and system to dramatically accelerate scientific computing problems.
Vorticity's mission is to expand human ingenuity. To do that we are building a team of exceptional people to work together on big problems. Join us!

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