1

Numerical Methods Jobs (NOW HIRING)

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 ...

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 ...

$250/hr

Strong understanding of fundamental numerical methods, dense and sparse array computing * Deep familiarity with Python numerical computing libraries (e.g. NumX, SciPy), including accelerated ...

Post-doctoral Associate

College Park, MD · On-site

$48K - $65K/yr

Extensive programming and numerical methods experience in C++, FORTRAN and Python is a prerequisite, as is a research background in Soil Science, Hydrology and/or Agronomy. Demonstrated programming ...

FEA/AI Methods Engineer

Bodega Bay, CA · On-site

$150K - $277K/yr

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 ...

Showing results 21-40

Numerical Methods information

See salary details

$27.5K

$56.7K

$60.5K

How much do numerical methods jobs pay per year?

As of Sep 9, 2026, the average yearly pay for numerical methods in the United States is $56,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.

What is a numerical methods job?

A Numerical Methods job involves developing, analyzing, and implementing algorithms to solve mathematical problems numerically. Professionals in this field work on optimizing computations for engineering, physics, finance, and other scientific applications. They use programming languages like Python, MATLAB, or C++ to create efficient and accurate numerical solutions. These jobs are common in industries such as aerospace, data science, and applied mathematics, where analytical models are essential for decision-making and simulations.

What are some common projects or problems handled by professionals specializing in numerical methods?

Professionals specializing in Numerical Methods typically work on projects involving the development and implementation of algorithms to solve mathematical models for engineering, physics, finance, or data science applications. Common responsibilities include simulating physical systems, optimizing processes, or analyzing large data sets using numerical techniques. These roles often involve close collaboration with engineers, scientists, or analysts to translate real-world problems into computational form and validate results against experimental data. The projects are diverse, providing ample opportunities to deepen expertise in both theoretical and practical aspects of numerical analysis.

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

To thrive in a Numerical Methods role, a strong background in applied mathematics, computational modeling, and problem-solving is essential, often supported by a degree in mathematics, engineering, or a related field. Proficiency with programming languages such as MATLAB, Python, or FORTRAN, and experience with numerical analysis software, are commonly required. Analytical thinking, teamwork, and effective communication are vital soft skills to excel in this position. These competencies are crucial for accurately analyzing complex data and collaborating across multidisciplinary teams to develop reliable computational solutions.

What do numerical methods do?

Numerical methods are techniques used by professionals in computational fields to approximate solutions to mathematical problems that are difficult or impossible to solve analytically. They involve algorithms and software tools to perform calculations efficiently, often used in engineering, science, and data analysis to model and simulate real-world systems.
More about Numerical Methods jobs

What are the most commonly searched types of Numerical Methods jobs?

The most popular types of Numerical Methods jobs are:

What states have the most Numerical Methods jobs?

States with the most job openings for Numerical Methods jobs include:

What other helpful pages are available for Numerical Methods?

Other pages related to Numerical Methods:

Infographic showing various Numerical Methods job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $56,723 per year, or $27.3 per hour.

FEA/AI Methods Engineer

San Francisco, CA • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Re-posted 24 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Imagine what you can do here! We are committed to pushing the boundaries of innovation and engineering excellence in product designs through simulation. We truly believe in the power of predictive simulation to make the impossible possible, transform industries, and improve people's lives. 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 success of new iPhone, iPad, Mac, Apple Watch, Vision Pro, and many more future products. Come join us and put a dent in the universe!
Description
As a core member of the product design team, you will contribute to envisioning the future of the FEA workflow and collaborate with cross-functional teams and vendors to develop the necessary tools to achieve it. Your responsibilities will encompass exploring the latest Large Language Models (LLMs) and Machine Learning (ML) tools, identifying optimal integration strategies within the FEA workflow, and designing experiments to characterize materials, advance constitutive models, and validate them across various levels of complexity. Additionally, you will conduct predictive finite element simulations to inform product design decisions. Your integration with the product design team will extend from the initial stages of product development to the engineering of groundbreaking products.
Minimum Qualifications
Strong knowledge of solid mechanics.
Experience in implicit and explicit finite element analysis (FEA).
Attention to detail and commitment to verification/validation.
Desire to work in a fast-paced environment with a passion for creating cutting-edge products.
M.S. in Mechanical Engineering, Applied Mechanics, Structural Engineering, or a similar discipline required along with 3+ years of relevant experience.
Preferred Qualifications
Expertise in the mechanical behavior of materials and constitutive modeling.
Proficiency in Python and relevant packages for ML.
Experience with Abaqus, ANSA, and META.
Experience with system-level modeling and simulation.
Self-motivated to identify areas for improvement and drive innovation.
Excellent cross-functional collaboration and written and verbal communication.
Ph.D. in Mechanical Engineering, Applied Mechanics, Structural Engineering, or a similar discipline.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976