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Remote Simulator Jobs in California (NOW HIRING)

Parallel Domain

Product Manager

San Francisco, CA · Remote

Company Overview Parallel Domain is the trusted sensor simulation and reconstruction software for ... They are fully remote and growing fast. How long has the company been operating? 2017 Total company ...

New

Terabase Energy

Power Systems Engineer

Berkeley, CA · On-site +1

This position is remote. Key Responsibilities * Lead the power system modeling and simulation function for the Operational Technologies team. * Build, manage, and maintain plant models in PSS ® E ...

Jitx Inc.

Senior Software Engineer

Berkeley, CA · On-site +1

$150K - $250K/yr

Ansys HFSS and other EDA/EM solvers (integrated via our simulation loop) - **Deployment:** Application installed on the user's machine, possibly airgapped. Architected to support headless and remote ...

Jitx Inc.

Senior Software Engineer

Berkeley, CA · On-site +1

$150K - $250K/yr

Ansys HFSS and other EDA/EM solvers (integrated via our simulation loop) - **Deployment:** Application installed on the user's machine, possibly airgapped. Architected to support headless and remote.

Waymo

Data Scientist

Mountain View, CA · On-site +1

$170K - $216K/yr

Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

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Remote Simulator information

How does a remote simulator typically collaborate with on-site engineers during simulation projects?

Remote Simulators frequently work alongside on-site engineers and technical teams through regular video meetings, shared simulation dashboards, and real-time communication tools. Collaboration involves exchanging data, troubleshooting simulation results, and adjusting scenarios to reflect real-world changes. Building strong communication skills and being proactive about clarifying requirements are key to ensuring simulations align with project goals. This remote setup allows for flexibility but also requires effective time management to accommodate different time zones and project schedules.

What is a remote simulator?

Remote simulators are software or hardware systems that allow users to emulate and interact with complex environments or equipment from a distance, often via the internet. They are widely used for training, testing, and development purposes across industries such as aviation, healthcare, and software engineering. By using a remote simulator, users can practice procedures, test scenarios, or debug code without physical access to the actual system, increasing accessibility and safety. These tools are especially valuable for remote learning, distributed teams, and situations where access to real equipment is limited.

What is the difference between Remote Simulator vs Remote QA Tester?

AspectRemote SimulatorRemote QA Tester
Required CredentialsKnowledge of simulation software, programming skills, relevant certifications in simulation or software developmentTesting certifications (e.g., ISTQB), understanding of testing tools, basic programming knowledge
Work EnvironmentDeveloping and testing simulation models, often in software development teamsExecuting test cases, identifying bugs, ensuring software quality in various applications
Industry UsageUsed in gaming, training, automotive, aerospace industriesCommon in software development, gaming, and app industries

Remote Simulator roles focus on creating and refining simulation models, requiring technical skills in programming and simulation software. Remote QA Testers concentrate on testing software quality, identifying bugs, and ensuring functionality. While both roles involve software, their core responsibilities and skill sets differ, making them distinct career paths within the tech industry.

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

To thrive as a Remote Simulator, you need strong analytical abilities, attention to detail, and a relevant technical background—often in engineering, aviation, or computer science. Familiarity with simulation software, remote control systems, and sometimes certifications in simulation technologies are typically required. Excellent communication, problem-solving skills, and the ability to work independently are crucial soft skills in this role. These competencies ensure accurate simulation execution, effective troubleshooting, and seamless collaboration with remote teams to achieve project goals.
What are the most commonly searched types of Simulator jobs in California? The most popular types of Simulator jobs in California are:
What are popular job titles related to Remote Simulator jobs in California? For Remote Simulator jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Simulator jobs in California look for? The top searched job categories for Remote Simulator jobs in California are:
What cities in California are hiring for Remote Simulator jobs? Cities in California with the most Remote Simulator job openings:
Remote Simulator jobs near you
Infographic showing various Remote Simulator job openings in California as of June 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 100% Remote job distribution.

Applied Mathematics Specialist - Fully Remote | Upto $100/hr

Mercor

San Francisco, CA • Remote

$100/hr

Full-time

Re-posted 6 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Computational Bayesian Statistics and Applied Mathematics Expert
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI capabilities in solving scientific and engineering tasks.
  • Develop problems requiring the use of specialized scientific software for simulations and experiment design.
  • Refine problems through iterative testing against state-of-the-art AI models to achieve target difficulty.
  • Collaborate on creating tasks that require strategic thinking and efficient information extraction.
  • Work independently to enhance problem designs based on feedback and model performance.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with at least one scientific software library (PyMC, FEniCS, etc.).
  • Strong Python skills for writing problem setups and solution validators.
  • Ability to work independently and refine problem designs.
  • Comfortable in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15–20 hours/week.

Preferred

  • Experience across multiple domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.