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Remote Simulation Engineer Jobs in California (NOW HIRING)

Humble Robotics

Simulation Engineer

San Francisco, CA · On-site +1

Position Overview Open to a range of experience levels We're looking for a software engineer to join our simulation team. You'll build the systems and tools that support closed-loop model testing ...

MatX

Software Engineer - Simulators

Mountain View, CA · On-site +1

$175K - $362K/yr

We are seeking highly motivated and detail-oriented software engineers to join our chip simulation ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

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

What are the key skills and qualifications needed to thrive as a Remote Simulation Engineer, and why are they important?

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.

What are Remote Simulation Engineers?

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 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.

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 are the most commonly searched types of Simulation Engineer jobs in California? The most popular types of Simulation Engineer jobs in California are:
What are popular job titles related to Remote Simulation Engineer jobs in California? For Remote Simulation Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Simulation Engineer jobs in California look for? The top searched job categories for Remote Simulation Engineer jobs in California are:
What cities in California are hiring for Remote Simulation Engineer jobs? Cities in California with the most Remote Simulation Engineer job openings:
Remote Simulation Engineer jobs near you
Infographic showing various Remote Simulation Engineer job openings in California as of July 2026, with employment types broken down into 77% Full Time, 8% Part Time, 10% Contract, and 5% Nights. Highlights an 100% Remote job distribution.

Simulation Engineer

Humble Robotics

San Francisco, CA • On-site, Remote

Full-time

Re-posted 14 days ago

Job description

About Humble Robotics
Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We're building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today's global logistics network.
We're a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don't believe culture can be engineered - but when it falls into place, it's a once-in-a-lifetime adventure.
Progress has never felt so present.
Position Overview
Open to a range of experience levels
We're looking for a software engineer to join our simulation team. You'll build the systems and tools that support closed-loop model testing, synthetic data generation, and sensor simulation. This work will work heavily with modern neural rendering approaches: Gaussian splatting, world models, and learned sensor models.
We're a small team early in the build. You'll have real influence over both what we build and how we build it.
Key Responsibilities
  • Build and maintain Python pipelines and tooling for closed-loop testing and synthetic data generation
  • Integrate modern neural rendering techniques into our sensor simulation stack (e.g., Gaussian splatting, NeRFs, world models)
  • Expand and maintain the scenario library and benchmark suite used to evaluate perception, planning, and control
  • Develop synthetic data generation workflows, including scenario and agent behavior generation, to support model training
  • Work closely with ML and autonomy engineers to measure and reduce sim-to-real gaps, ensuring simulation reflects real-world behavior

Minimum Qualifications
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field-or equivalent industry experience
  • Strong proficiency in Python (primary language of the simulation stack)
  • Experience working with simulation systems, ideally in robotics, autonomous vehicles, or other high-fidelity domains
  • Eligible to work in the United States

Preferred Qualifications
  • Experience with neural rendering or generative simulation (e.g., Gaussian splatting, NeRFs, world models, diffusion-based methods)
  • Depth in one or more areas of simulation: closed-loop testing, scenario design, log replay, or sensor simulation
  • Experience building benchmarks or evaluation frameworks used across a team
  • Experience developing synthetic data pipelines that improved downstream model performance
  • Familiarity with real-time robotic systems and their constraints on simulation fidelity
  • Comfortable working on a small team with high ownership and fast iteration cycles

Compensation
This role is eligible for base salary \+ benefits \+ equity compensation. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location.
Additional Information
As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact **[email protected]** to exercise this right or if you have further questions on the use of AI tools in our hiring process.
Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances.
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.

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