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Finite Math Jobs in Fremont, CA (NOW HIRING)

Roblox

Senior Software Engineer, Geometry

San Mateo, CA · On-site

$243K - $295K/yr

You possess deep knowledge of advanced data structures, algorithms, and computational linear algebra (vector/matrix math, numerical solvers, finite-element methods). * Mathematically Minded: You have ...

Apple

Product Design FEA Engineer

Cupertino, CA

$150K - $277K/yr

... mathematical descriptions and simulation workflows, and validate them at various scales to deploy ... Experience in implicit and explicit finite element analysis (FEA). Attention to detail and ...

Apple

Product Design FEA Engineer

Cupertino, CA

$150K - $277K/yr

... mathematical descriptions and simulation workflows, and validate them at various scales to deploy ... Experience in implicit and explicit finite element analysis (FEA). Attention to detail and ...

Fab2

Software Engineer, Rust

San Francisco, CA · On-site

$105K - $170K/yr

Design and implement finite state machines for tool operation * Develop data acquisition, telemetry ... Interest in applied math, linear algebra, numerical methods, or scientific computing * Familiarity ...

Apple Inc.

Product Design FEA Engineer

Cupertino, CA · On-site

$147.40 - $272.10/hr

... mathematical descriptions and simulation workflows, and validate them at various scales to deploy ... Experience in implicit and explicit finite element analysis (FEA). * Attention to detail and ...

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Finite Math information

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How much do finite math jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for finite math in Fremont, CA is $30.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.53 and $32.12 per hour, depending on experience, location, and employer.

What is finite math?

Finite math is a branch of mathematics that focuses on topics dealing with finite, or countable, sets rather than continuous ones. It typically includes subjects like logic, probability, statistics, matrices, linear programming, and sometimes elements of discrete mathematics. Finite math is often designed for students in business, social sciences, or liberal arts who need practical mathematical skills rather than advanced calculus. The course helps students develop problem-solving abilities applicable to real-world scenarios such as analyzing data, managing resources, and making informed decisions.

What are the key skills and qualifications needed to thrive as a finite math instructor, and why are they important?

To thrive as a Finite Math Instructor, you need a strong background in mathematics, especially in topics like probability, statistics, logic, and linear programming, typically supported by at least a bachelor's degree in mathematics or a related field. Familiarity with educational technology, learning management systems, and mathematical software such as MATLAB or Excel is often required. Excellent communication, patience, and the ability to explain complex concepts in simple terms are essential soft skills for effective teaching. These skills ensure students gain a clear understanding of finite math concepts, promoting academic success and practical application.

What are some typical challenges faced by instructors teaching finite math, and how can they be addressed?

Instructors teaching Finite Math often encounter the challenge of engaging students with varying mathematical backgrounds and helping them see the real-world relevance of the subject. To address this, educators can incorporate practical examples from business, economics, and social sciences, and utilize interactive teaching methods such as group problem-solving and technology-based resources. Additionally, providing clear explanations and regular feedback on assignments helps students build confidence and understanding, fostering a more supportive learning environment.

What is the difference between Finite Math vs Data Analyst?

AspectFinite MathData Analyst
Required CredentialsTypically a college course, no specific certification neededBachelor's degree in statistics, mathematics, or related field
Work EnvironmentClassroom, online courses, or self-studyOffice setting, data analysis software, collaborative teams
Industry UsageMathematics, education, some business applicationsBusiness, finance, marketing, healthcare
Common Search/ComparisonOften compared for foundational quantitative skillsCompared for data-driven decision making skills

Finite Math provides foundational mathematical skills used in various fields, while Data Analysts focus on interpreting data to inform business decisions. Both roles require quantitative understanding but differ in application and industry focus.

What jobs use finite math?

Finite math is used in various jobs such as data analysts, operations managers, financial analysts, and computer programmers. These roles often require skills in probability, statistics, and mathematical modeling, and may involve using tools like spreadsheets or statistical software. Understanding finite math helps in problem-solving and decision-making in business and technology environments.

What are popular job titles related to Finite Math jobs in Fremont, CA?

For Finite Math jobs in Fremont, CA, the most frequently searched job titles are:

What job categories do people searching Finite Math jobs in Fremont, CA look for?

The top searched job categories for Finite Math jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Finite Math jobs?

Cities near Fremont, CA with the most Finite Math job openings:

Finite Math jobs near you

Electrochemical Engineering Postdoctoral Scholar

Lawrence Berkeley National Laboratory

Berkeley, CA • On-site

Full-time

Re-posted 17 days ago

Lawrence Berkeley National Laboratory rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

2nd of 120 rated laboratories

Job description

In this exciting role, you will simulate mathematically fuel cell systems and other related electrochemical devices and their components under both steady state and transient operation in The Energy Conversion Group at Energy Technologies and Systems Division of the Energy Technologies Area. Your work will entail model development, validation, and execution including collaboration with research partners, to verify and explain predicted trends seen in experimental data. The model should identify critical barriers and provide strategies to enable performance optimization and durability mitigation. In addition to cell level modeling, particular emphasis will be on understanding multi-ion transport and durability stressors including structure/function relationships across multiple time and length scales. Additionally, incorporating AI/ML into the multiphysics models via surrogate models or other data-driven methods will be a focus in this position.
We're here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!
You will:
  • Develop and refine mathematical models to examine multidimensional, multiphysics, transport within an electrochemical cell including its various constitutive layers (e.g., porous transport layers, gas-diffusion and microporous layers, membrane, and catalyst layers).
  • Analyze the results to examine limiting factors in performance as well as identify areas of deficiency in the model and propose new mathematical constructs to deal with them.
  • Pursue microstructural simulations of transient phenomena within single components.
  • Use AI/ML approaches (e.g., physics-informed neural networks) for surrogate model development
  • Validate model activities and comparison of simulation to experimental data for both input parameters and output results.
  • Publish original research in peer-reviewed journals; contribute to scientific publications; present research through talks and posters at conferences, workshops, and multi-investigator meetings.
  • Adhere with the Berkeley Lab and ETA safety requirements.
  • Work on meeting milestones and reporting them to DOE and industrial sponsors
  • Collaborate and work with a team of researchers from diverse backgrounds, and interface with research teams from across industry, academia, and national laboratories

Additional Responsibilities as needed:
  • Work on experimental characterization of cell performance and measurement of component properties.
  • Interact with the LBNL fuel cell and electrochemistry community (with extensive experience in batteries, modeling of batteries and fuel cells, electrode material synthesis, spectroscopy, detailed diagnostics, and cell design) to aid in electrochemistry research.
  • Participate in professional society activities.

We are looking for:
  • PhD in chemical engineering, mechanical engineering, applied physics, or closely related field.
  • Experience with mathematical modeling (i.e., continuum modeling) including in the application of transport phenomena in fuel cells or related devices and at various scales.
  • Familiarity with high performance computing and code development and use including the use of AI/ML and surrogate model development for multiscale analysis
  • Excellent communication skills, both oral and written as well as technical writing.
  • Ability to learn rapidly and integrate new fields to demonstrate creative problem-solving skills
  • Ability and willingness to work in a team environment and collaborate with researchers from various backgrounds
  • Ability to work as an independent researcher with a high level of scientific judgment and initiative.
  • Knowledge of electrochemistry and related diagnostic methods and materials for fuel cells (both low and intermediate temperatures).
  • Knowledge of constitutive relations and continuum theories.

Desired skills/knowledge:
  • Demonstrated ability to take initiative for tackling cross-disciplinary research problems from initiation to meaningful conclusion.
  • Experience with electrochemistry, hydrogen fuel cells, and transport phenomena.
  • Demonstrated strong experience with finite-element methods and Comsol.
  • Familiarity with machine learning and associated big data techniques.

For consideration, please apply with the following application materials:
  • Cover Letter - Describe your interest in this position and the relevance of your background.
  • Curriculum Vitae (CV) or Resume.

Additional information:
  • Appointment type: This is a full-time 2 years, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
  • Salary range: The monthly salary range for this position is $6,891 / mo - $7,609.00 / mo and is expected to start at $6,891 / mo or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral and/or related research experience.
  • Background check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
  • Work modality: This position will be primarily performed on-site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
  • Union Represented: This position is represented by a union for collective bargaining purposes.

Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.

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