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Remote Simulation Engineer Jobs in Santa Clara, CA

Agility Robotics

Senior Manager, Simulation

Fremont, CA · On-site +1

$208K - $324K/yr

Develop your engineers: set clear expectations, create growth opportunities, and build a team ... fully remote, with up to one week of travel per month. The final salary offered to a successful ...

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Remote Simulation Engineer information

See Santa Clara, CA salary details

$45.8K

$144.9K

$223.7K

How much do remote simulation engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote simulation engineer in Santa Clara, CA is $144,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $172,100.00 per year, depending on experience, location, and employer.

What is a remote simulation engineer?

Remote Simulation Engineers are professionals who use computer-based models and simulations to replicate real-world systems, processes, or products, often working from remote locations. They design, develop, and analyze simulations to test and optimize designs in fields such as aerospace, automotive, healthcare, and manufacturing. By leveraging specialized software, they help organizations predict outcomes, reduce costs, and improve efficiency without the need for physical prototypes. Remote Simulation Engineers collaborate with multidisciplinary teams using digital tools, ensuring seamless communication and project delivery. Their role is crucial for organizations aiming to innovate and streamline development in a virtual environment.

What are the key skills and qualifications needed to thrive as a remote simulation engineer?

To thrive as a Remote Simulation Engineer, you need a solid background in engineering principles, computational modeling, and a relevant degree in fields like mechanical, electrical, or aerospace engineering. Proficiency with simulation software such as ANSYS, MATLAB, or Simulink, alongside experience with CAD tools, is typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in a distributed work environment. These skills are crucial for delivering accurate, timely simulation results and collaborating efficiently with global teams.

How does a remote simulation engineer typically collaborate with on-site teams and stakeholders?

As a Remote Simulation Engineer, you will frequently collaborate with on-site teams, project managers, and other engineers through virtual meetings, cloud-based platforms, and shared simulation tools. Clear communication and proactive coordination are essential, as you may be responsible for explaining simulation results, integrating feedback, and ensuring your models align with real-world requirements. Building strong relationships with cross-functional teams helps bridge the distance and ensures project milestones are met efficiently. Familiarity with collaborative software and version control systems is valuable for seamless teamwork.

What is the difference between Remote Simulation Engineer vs Remote Test Engineer?

AspectRemote Simulation EngineerRemote Test Engineer
Required CredentialsBachelor's or higher in engineering, proficiency in simulation softwareBachelor's or higher in engineering or related field, experience with testing tools
Work EnvironmentDesigning and running simulations, using CAD and simulation platforms remotelyConducting product tests, analyzing results, often remotely or in labs
Industry UsageAutomotive, aerospace, electronics industriesManufacturing, electronics, automotive sectors
Common Search/ComparisonYesYes

The Remote Simulation Engineer focuses on creating and analyzing virtual models to predict product performance, while the Remote Test Engineer conducts physical or virtual tests to validate product quality. Both roles require engineering backgrounds and often overlap in industries like automotive and aerospace, but their core activities differ: simulation versus testing.

What are the most commonly searched types of Simulation Engineer jobs in Santa Clara, CA?

The most popular types of Simulation Engineer jobs in Santa Clara, CA are:

What are popular job titles related to Remote Simulation Engineer jobs in Santa Clara, CA?

For Remote Simulation Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Remote Simulation Engineer jobs in Santa Clara, CA look for?

The top searched job categories for Remote Simulation Engineer jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Simulation Engineer jobs?

Cities near Santa Clara, CA with the most Remote Simulation Engineer job openings:

Remote Simulation Engineer jobs near you

Senior Modeling & Simulation Engineer: Controls Integration

Mainspring Energy

Menlo Park, CA • On-site, Remote

Full-time

Posted 10 days ago

Job description

About Mainspring

Mainspring Energy manufactures and delivers fuel-flexible, low-emissions local power solutions that rapidly add new capacity and deliver reliable, affordable, and sustainable electric power. The company began commercial shipments of its Mainspring Linear Generators in 2020 and today has hundreds of megawatts in advanced development and field operations for leading Fortune 500 companies, data centers, and utilities. Mainspring also partners with global energy leaders including AEP, NextEra Energy Resources, Schneider Electric, and more.

The core values that ground our work, guide our decisions, and connect us together:

  • Pragmatic Optimism
  • Excellence without Ego
  • Proactive Collaboration
Job Overview

We have a high impact opportunity for a Modeling and Simulation Engineer to support the design, test, and manufacture of reliable and efficient linear generators at Mainspring Energy.  On the system modeling and simulation team, you will have a central role in refining the way generators are designed by providing the tools through which the control system can be designed and validated.  This role requires a quantitative physical understanding of the way things work combined with a passion and aptitude for software to bring that understanding to light.

Responsibilities

As part of this role, you will:

  • Determine the appropriate dynamic response of the generator system to a variety of control commands.   Write numerical models quantifying that behavior for simulation

  • Coordinate with controls engineers and navigate code in C++ to understand the inputs and expected response of the controller to sensed generator behavior

  • Generate test plans to investigate unknown system behavior or validate observations gleaned from other simulations.  Oversee the execution of those plans on the generator with support from the test team

  • Write and debug solvers for dynamic systems written as ordinary differential equations (ODEs) or differential algebraic equations (DAEs)

  • Architect custom simulation environments and optimize simulations and develop reduced-order models capable of computing simulated time steps faster than real time on dedicated hardware

  • Construct computational dynamic system models using appropriate conservation equations directly in high level programming languages, e.g. python, C++  

  • Participate in a robust development process following software best practices

  • Participate in peer review of code written in support of modeling, control, and software work throughout the team

  • Generate written documentation (presentations, reports, etc) of model design and simulation results for a variety of audiences at Mainspring

Your success in this role will be instrumental in reducing the time it takes to develop, test, and deploy new controls features for linear generators and provide value for our customers.  Having a thumb on the pulse of the generator as a system, you will be collaborating across technical domains, frequently integrating with executives and other leaders of software, mechanical design, and product development.

Qualifications

  • Engineering degree (Mechanical, Aerospace, Electrical, Chemical, etc) with a strong foundation in applied mathematics

  • Strong technical and analytical skills with 5+ years of practical experience in more than one physical domain relevant to linear generators: thermodynamics, electrical systems, fluid dynamics, etc

  • Familiarity with numerical techniques for modeling and simulation and their use within existing commercial packages (e.g. Simulink, Dymola, GT-Power, NPSS, etc)

  • Experience designing, writing, and validating custom models written in a high-level programming language, e.g. Fortran, C/C++, Python, Julia, etc

This position is a hybrid position (onsite + remote) at our Menlo Park HQ. The salary will be adjusted to reflect local market conditions based on employee location as well as the experience of the employee. Along with the base salary, Mainspring offers pre-IPO stock options + benefits.

Does your experience not meet all of our posted requirements? Studies have shown that some people are less likely to apply to positions unless they meet every listed requirement. At Mainspring, we are committed to building a diverse, inclusive, flexible, and collaborative environment, so if you want to help us transition the world to clean and affordable electricity, and don’t meet all posted requirements for a particular role, we’d still love to hear from you. Mainspring can sometimes be flexible enough to shift responsibilities for the right person, or otherwise identify open or upcoming roles that may better fit your professional background.
 
In more traditional words, Mainspring Energy, Inc is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
 
This compensation and benefits information is based on Mainspring Energy's estimate as of the date of publication and may be modified in the future. We generally do not negotiate on salary once we have made an offer. The level of pay within the range will depend on a variety of job-related factors that may include location, relevant prior experience and/or education, or particular skills and expertise. New hires joining the company tend to be paid within the starting base pay range noted above, with opportunities to increase pay over time based on development of additional skills, competencies, and company-specific knowledge.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.