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Simulation Manager information

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$13

$40

$70

How much do simulation manager jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for simulation manager in California is $40.34, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $57.12 per hour, depending on experience, location, and employer.

What are Simulation Managers?

Simulation Managers are professionals responsible for overseeing the planning, development, implementation, and evaluation of simulation-based training and educational programs. They often work in fields such as healthcare, aviation, or engineering, managing simulation labs, coordinating scenarios, and ensuring equipment and technology are maintained. Their duties include supervising staff, developing curricula, and ensuring that simulation activities meet organizational and accreditation standards. Simulation Managers play a key role in enhancing training outcomes by providing realistic and effective learning experiences.

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

To thrive as a Simulation Manager, you need expertise in simulation-based training, project management, and a relevant degree such as in healthcare, engineering, or education. Familiarity with simulation software (e.g., Laerdal, CAE), audiovisual systems, and potentially certifications like Certified Healthcare Simulation Educator (CHSE) is important. Strong leadership, problem-solving, and communication skills help in coordinating teams and delivering effective training experiences. These skills ensure the successful implementation and management of simulation programs that enhance learning outcomes and operational efficiency.

How does a Simulation Manager typically collaborate with cross-functional teams in a project environment?

Simulation Managers often work closely with engineering, design, and project management teams to ensure that simulation models accurately reflect real-world scenarios. They facilitate regular meetings to gather requirements, validate data inputs, and communicate simulation results to stakeholders. Effective collaboration involves translating technical findings into actionable insights for non-technical team members, helping guide decision-making throughout the project lifecycle. This role requires strong communication skills and a proactive approach to ensure alignment across all involved departments.
What are the most commonly searched types of Simulation jobs in California? The most popular types of Simulation jobs in California are:
What are popular job titles related to Simulation Manager jobs in California? For Simulation Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Simulation Manager jobs in California look for? The top searched job categories for Simulation Manager jobs in California are:
What cities in California are hiring for Simulation Manager jobs? Cities in California with the most Simulation Manager job openings:
Simulation Manager jobs near you
Infographic showing various Simulation Manager job openings in California as of July 2026, with employment types broken down into 84% Full Time, 13% Part Time, 2% Temporary, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $83,909 per year, or $40.3 per hour.
Machine Learning Engineer, Simulation Realism

Machine Learning Engineer, Simulation Realism

Waymo

Mountain View, CA • Hybrid

Other

Re-posted 21 days ago

Job description

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.

Apply