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Developer Numerical Methods Jobs (NOW HIRING)

Broad experience with applied math and numerical methods for solving science and engineering ... problems (e.g., matrix algebra, numerical methods for solving partial differential equations)

As a member of the Product Design FEA team, you will use your understanding of mechanics, materials, and numerical methods to play a pivotal role in predictive engineering and directly impact the ...

Senior Developer EMS

Houston, TX · On-site +1

$52 - $68.75/hr

Engineering & Science Job Schedule: Full time Remote: No The Opportunity Hitachi Energy's Grid ... Apply power system studies, modeling, simulation, optimization, and numerical methods to ...

Senior Developer EMS

Houston, TX · On-site

$52 - $68.75/hr

Engineering & Science Job Schedule: Full time Remote: No The Opportunity Hitachi Energy's Grid ... Apply power system studies, modeling, simulation, optimization, and numerical methods to ...

Computational Physics/Aerosciences Engineer Support on-going projects in aerodynamics, aeroelasticity, computational fluid dynamics (CFD), flight vehicle analysis and numerical methods supporting ...

Senior Quantitative Developer

Chicago, IL · On-site

$180K - $225K/yr

Numerical & quantitative * Experience implementing numerical methods, including iterative ... POSIX Socket programming experience. * Interprocess Communication in a Linux environment (unix ...

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Developer Numerical Methods information

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How much do developer numerical methods jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for developer numerical methods in the United States is $45.29, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $54.81 per hour, depending on experience, location, and employer.

What is a developer numerical methods?

Developer Numerical Methods are professionals who design, implement, and optimize algorithms to solve mathematical problems numerically using computers. They work with mathematical models, simulations, and data analysis to provide solutions where analytical methods are impractical. These developers often use programming languages like Python, C++, or MATLAB to create software that assists in scientific research, engineering, and finance. Their work is crucial in fields such as computational fluid dynamics, structural analysis, and financial modeling.

How do developer numerical methods professionals typically collaborate with other teams during a project?

Developer Numerical Methods professionals often work closely with multidisciplinary teams, including data scientists, engineers, and domain experts. They collaborate to understand project requirements, validate mathematical models, and ensure numerical algorithms are both accurate and efficient. Regular meetings, code reviews, and knowledge-sharing sessions are common to align technical approaches and resolve challenges. This collaborative environment fosters innovation and ensures that solutions are tailored to real-world problems while maintaining computational integrity.

What are the key skills and qualifications needed to thrive as a developer numerical methods, and why are they important?

To thrive as a Developer Numerical Methods, you need a strong background in applied mathematics, numerical analysis, and programming, usually with a relevant degree in mathematics, physics, engineering, or computer science. Familiarity with programming languages such as Python, MATLAB, C++, and experience with libraries or tools like NumPy, SciPy, or MATLAB toolboxes are typically required. Analytical thinking, problem-solving, and effective communication are important soft skills for translating complex mathematical concepts into computational solutions and collaborating with interdisciplinary teams. These skills ensure accurate, efficient algorithm development and successful integration of numerical methods into practical applications.

What is the difference between Developer Numerical Methods vs Data Scientist?

AspectDeveloper Numerical MethodsData Scientist
Required CredentialsBachelor's in Mathematics, Engineering, or Computer Science; programming skillsBachelor's or higher in Statistics, Computer Science, or related fields; programming and statistical skills
Work EnvironmentResearch labs, finance, engineering firms, academiaTech companies, finance, healthcare, consulting
Employer & Industry UsageDevelops algorithms for simulations, modeling, optimizationAnalyzes data to extract insights, build predictive models
Common Search & ComparisonFocuses on numerical algorithms and computational methodsFocuses on data analysis, machine learning, and statistical modeling

While both roles require programming skills and a strong mathematical background, Developer Numerical Methods primarily focuses on creating algorithms for numerical computations and simulations. Data Scientists analyze data sets to generate insights and predictive models. The two roles often collaborate but serve different core functions within technical teams.

What are popular job titles related to Developer Numerical Methods jobs?

For Developer Numerical Methods jobs, the most frequently searched job titles are:

Infographic showing various Developer Numerical Methods job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $94,200 per year, or $45.3 per hour.

Senior Scientific Programmer

Remote

Datacor
Software Development • 11 - 50 employees

Full-time

Re-posted 13 days ago


Job description

GoldSim, a Datacor company, is a world leader in dynamic simulation software for water resources, environmental systems, and complex engineering problems. Our customers use GoldSim to model some of the most challenging questions in engineering and science from managing critical water supplies to assessing the long-term safety of environmental systems. 

We are looking for a creative problem-solver to join our development team.This is a mid-levelto senior position where you will have a direct impact as we develop new modeling capabilities to enhance GoldSim,our state-of-the-art modeling and simulation framework. 

What you'll Do 

Numerical & Algorithmic Ownership 

  • Own the numerical solutions and mathematical/computer science algorithms underlying GoldSim's simulation engine - from the theoretical foundation (equations, algorithm design) through to implementation in our C++ codebase. 
  • Push practical, real-world improvements to GoldSim's numerical capabilities, and propose new features driven by everyday or discipline-specific customer needs. 
  • Participate in design discussions across the full development lifecycle, not just the mathematical layer. 

Model Building & Verification 

  • Build GoldSim models that apply and exercise the platform's numerical capabilities - for QA and verification, as example models shipped with the product, and in direct support of customers. 
  • Use hands-on model-building as a primary way to validate that new or improved algorithms behave correctly in practice. 

Documentation & Knowledge Transfer 

  • Document both the theoretical basis (equations, algorithm descriptions) and the practical implementation of GoldSim's numerical methods, so this knowledge isn't concentrated in one person. 
  • Partner with the founding engineer to formalize existing modeling, QA, and support methodology. 

Collaboration & Support 

  • Work alongside the software engineering team to integrate new or improved numerical capabilities into the broader platform. 
  • Translate business and product requirements into technical specifications.  
  • Serve as a technical resource for customer support and QA on advanced modeling and numerical questions. 
  • Communicate technical/mathematical concepts clearly to engineers, QA, and product stakeholders. 

Growth & Modernization 

  • Bring curiosity for modern computational approaches - including applying machine learning to accelerate, approximate, or extend traditional numerical simulation methods. 
  • Help identify opportunities to modernize GoldSim's existing algorithmic infrastructure. 

Requirements 

  • Masters or PhD level in science or engineering, with outstanding academic performance. 
  • Broad experience with applied math and numerical methods for solving science and engineering problems (e.g., matrix algebra, numerical methods for solving partial differential equations). 
  • Earth sciences or civil engineering background, preferably including contaminant transport modeling. 
  • Extensive C++ programming experience, ideally in scientific or engineering applications; familiarity with commercial or open-source numerical libraries and frameworks is a plus. 
  • Proven ability to design and implement practical numerical solutions to real-world problems. 
  • Good communications skills, must write effectively and enjoy interacting with other team members. 
  • Experience developing and supporting Windows desktop applications is a plus, as is hands-on experience with data science tools such as MATLAB, R, or Tableau. 
  • Experience applying AI/ML techniques (e.g., machine learning models, LLM-based tools, or AI-assisted development) to scientific or engineering software is a plus. 

Why GoldSim 

Join a team where your work directly shapes software that engineers and scientists rely on around the world. You'll take on meaningful technical challenges, enjoy real autonomy, and help define the future of a product with a global reputation for excellence. We have offices across the US where you have the opportunity to come in as you would like including one in Seattle.Â