ZipRecruiter

Log In

2

Remote Simulation Engineer Jobs in California (NOW HIRING)

FieldAI

Robotics Autonomy Engineer: Simulation

Irvine, CA · On-site +1

$70K - $300K/yr

We are looking for a Robotics Full Stack Simulation Engineer to join our dynamic team. In this role ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

FieldAI

Robotics Autonomy Engineer: Simulation

Irvine, CA · On-site +1

$70K - $300K/yr

We are looking for a Robotics Full Stack Simulation Engineer to join our dynamic team. In this role ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

next page

Showing results 1-20

People also search for

All JobsRemote Simulation Engineer JobsRemote Simulation Engineer Jobs in California

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.

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 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.

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
Machine Learning Engineer, Simulation Realism

Machine Learning Engineer, Simulation Realism

Waymo

Mountain View, CA • On-site, Remote

$213K - $263K/yr

Other

Posted 9 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. Our team is a diverse,, and collaborative group of software engineers, machine learning (ML) engineers, and data scientists. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. By applying machine learning, we model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions.

To increase the fidelity and steerability of our simulations, we employ the latest ML technologies such as large foundation models trained on our datasets and diffusion technology. We also invest in capable infrastructure that allows us to quickly set up and roll out multiple scenarios to rigorously test our autonomous driving systems.

In this hybrid role, you will report to a Senior Engineering Manager

You will:

  • Be part of a world-class applied ML team dedicated to advancing ultra-realistic autonomous vehicle (AV) simulations by leveraging Generative AI technologies.
  • Apply deep domain expertise in ML, especially GenAI, to push the boundaries of simulation realism and autonomous driving capabilities.
  • Independently manage the entire lifecycle of product innovations, from prototyping to productization, scaling simulations and data processing systems.
  • Work within a collaborative applied ML engineering team that transforms research ideas into production-ready solutions.

You have:

  • 7+ years experience in applied Deep Learning
  • 7+ years coding and design skills
  • 7+ years of experience solving complex production problems using state-of-the-art ML techniques
  • 7+ years of experience taking research to production
  • Expertise in Data Analysis or Data Science

We prefer:

  • PhD degree in Computer Science or a similar discipline
  • Direct experience in Generative AI, including multi-modal foundation models and Diffusion models.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$213,000—$263,000 USD

Apply