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Numerical Simulation Jobs (NOW HIRING)

Aitopics

Featured Feat. Data Scientist

Washington, DC · On-site

$80 - $157/hr

Electromagnetism | Mechanics | NumPy | Numerical Simulation | Pandas * Computational physics | NumPy | Numerical Simulation | Pandas | Physics modeling * Electromagnetism | Mechanics | NumPy ...

Apple

IC Packaging Simulation Engineer

Austin, TX

$184K - $324K/yr

Proficiency with numerical simulation software tools and expert in MATLAB and/or Scientific Python. Hands-on experience of Gen-AI and Machine Learning. Deep understanding of packaging materials and ...

Apple

IC Packaging Simulation Engineer

Austin, TX

$129K - $225K/yr

Proficiency with numerical simulation software tools and expert in MATLAB and/or Scientific Python. Hands-on experience of Gen-AI and Machine Learning. Deep understanding of packaging materials and ...

Apple

IC Packaging Simulation Engineer

Austin, TX

$184K - $324K/yr

Proficiency with numerical simulation software tools and expert in MATLAB and/or Scientific Python. Hands-on experience of Gen-AI and Machine Learning. Deep understanding of packaging materials and ...

Apple

IC Packaging Simulation Engineer

Austin, TX

$129K - $225K/yr

Proficiency with numerical simulation software tools and expert in MATLAB and/or Scientific Python. Hands-on experience of Gen-AI and Machine Learning. Deep understanding of packaging materials and ...

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Numerical Simulation information

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How much do numerical simulation jobs pay per year?

As of Aug 15, 2026, the average yearly pay for numerical simulation in the United States is $67,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $79,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in numerical simulation?

To thrive in a Numerical Simulation role, you need a strong background in mathematics, physics, and computer science, often supported by a relevant degree such as engineering or applied mathematics. Proficiency with simulation software (like ANSYS, MATLAB, or COMSOL), programming languages (such as Python, C++, or Fortran), and familiarity with modeling standards and high-performance computing is typically required. Critical thinking, attention to detail, and effective communication are crucial soft skills for clearly interpreting results and collaborating with multidisciplinary teams. These competencies are vital for producing accurate, actionable simulation outcomes that drive real-world engineering and scientific solutions.

What is a numerical simulation?

A Numerical Simulation job involves using computer-based models to simulate physical, chemical, or engineering processes. Professionals in this field apply mathematical techniques and computational tools to analyze complex systems, optimize designs, and predict real-world behavior. They work in industries such as aerospace, automotive, energy, and biomedical engineering. Strong programming, mathematical modeling, and problem-solving skills are essential for this role.

What do numerical simulation professionals do?

Professionals working in Numerical Simulation roles often spend their days developing and running computer models to predict physical phenomena, such as fluid dynamics, heat transfer, or structural behavior. Their tasks may include setting up simulation parameters, validating models with experimental data, analyzing simulation results, and preparing technical reports for stakeholders. Collaboration with engineers, scientists, or product development teams is common to ensure simulations address real-world issues and meet project goals. On a weekly basis, you may also be involved in refining existing models, troubleshooting computational issues, and keeping up with the latest simulation techniques and best practices.

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What cities are hiring for Numerical Simulation jobs?

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Numerical Simulation jobs near you
Infographic showing various Numerical Simulation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

R&D Engineer Simulation software

Keysight Technologies, Inc.

Santa Clara, CA • On-site

Full-time

Re-posted 8 days ago

Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

49th of 157 rated electronics manufacturers

Job description

Overview
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Responsibilities
We are seeking an Expert R&D Engineer to join the circuit simulation team for the advancement of our next-generation circuit simulation technologies. This role is focused on developing and improving the core simulation engine behind Keysight's industry-leading circuit simulation products. You will work with simulation experts, software architects, device modeling engineers, and product teams to identify critical technical challenges, develop innovative solutions, and influence the future direction of Keysight's circuit simulation technology.
We are looking for an exceptional engineer with deep expertise across electrical engineering, numerical algorithms, and software engineering. The ideal candidate understands both the mathematical foundations of circuit simulation and the practical challenges involved in building a high-performance, production-quality simulator.
About the Team
Our Circuit Simulation R&D team develops advanced simulation technologies used by engineers worldwide to design RF, microwave, analog, mixed-signal, and high-speed electronic systems.
The team combines expertise in:
  • Electrical circuit theory and semiconductor device behavior.
  • Numerical analysis and computational mathematics.
  • High-performance software engineering.
  • Large-scale simulation architecture and optimization.

We solve some of the most challenging computational problems in electronic design automation by combining algorithm innovation with robust software implementation.
Responsibilities
As an Expert R&D Engineer, you will:
  • Provide technical leadership in the development of advanced circuit simulation algorithms.
  • Investigate fundamental simulation challenges involving accuracy, convergence, performance, and scalability.
  • Develop innovative numerical algorithms for nonlinear circuit analysis and differential equation solving.
  • Improve solver technologies, including sparse matrix algorithms, nonlinear solution methods, and numerical integration techniques.
  • Evaluate and introduce advanced methods for simulation acceleration, including model order reduction, RC reduction, vector fitting, and parallel computation.
  • Analyze simulation performance and identify opportunities for significant improvements in runtime and memory efficiency.
  • Collaborate with experts across circuit simulation, device modeling, RF simulation, software architecture, and applications engineering.
  • Translate customer and product challenges into algorithmic solutions.
  • Mentor engineers and provide technical guidance in simulation algorithms and software development practices.
  • Drive technical discussions, design reviews, and long-term technology direction.

Qualifications
Required Qualifications
  • Advanced degree (Master's or Ph.D. preferred) in Electrical Engineering, Electrical Engineering and Computer Science (EECS), Computer Science, Applied Mathematics, Computational Science, or a related field.
  • Extensive experience developing circuit simulation engines, numerical simulation software, or other large-scale scientific computing applications.
  • Strong knowledge of nonlinear equation solving, Newton-Raphson methods, convergence techniques, and differential equation analysis.
  • Deep understanding of sparse matrix algorithms and numerical linear algebra.
  • Expert-level programming skills in C++ with experience developing large, maintainable software systems.
  • Ability to analyze complex simulation behavior and translate mathematical concepts into reliable software implementations.
  • Strong communication skills with the ability to collaborate effectively across electrical engineering and software engineering disciplines.

Preferred Qualifications
Experience with one or more of the following:
  • Strong expertise in transient (TRAN) simulation techniques and numerical integration methods, e.g. Adaptive timestep control, Backward Euler, Trapezoidal, Gear integration methods, Local truncation error estimation, Convergence acceleration techniques, etc.
  • Sparse solver technologies, e.g. Matrix ordering, Sparse factorization, Iterative and direct linear solvers.
  • Model order reduction and parasitic reduction:
  • Semiconductor device modeling:
  • High-performance computing:
  • Experience using Python or Rust for prototyping, automation, and engineering productivity.

Pay Range:
USD $156,960.00 - USD $261,600.00 Year
Careers Privacy StatementKeysight is an Equal Opportunity Employer.
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