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Simulation Manager Jobs in California (NOW HIRING)

Camera Simulation Engineer

Cupertino, CA ยท On-site

$185 - $325/hr

The Camera Modeling & Simulation team, a part of the Camera Hardware and Depth Team, develops novel ... Experience in project management and/or driving projects independently in ambiguous problem spaces.

New

Factory Simulation Engineer

Los Angeles, CA ยท On-site

$90 - $160/hr

Create and manage a robust library of parametric and reusable simulation assets. What We're Looking For * Strong systems thinking with a balance between rapid prototyping and sustainable platform ...

Showing results 41-60

Simulation Manager information

See California salary details

$13

$40

$70

How much do simulation manager jobs pay per hour?

As of Aug 22, 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 is a simulation manager?

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.

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 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.

What are the most commonly searched types of Simulation jobs in California?

The most popular types of Simulation jobs in California 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:

Infographic showing various Simulation Manager job openings in California as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $83,909 per year, or $40.3 per hour.

Senior Simulation Engineer - W2 Role

Saransh Inc

Mountain View, CA โ€ข On-site

Contractor

Re-posted 14 days ago


Job description

Role: Senior Simulation Engineer
Location: Mountain View, CA (Hybrid Onsite)
Job Type: W2 Contract
 
Job Description: 
  • We are seeking a highly skilled Senior Simulation Engineer to own and accelerate our synthetic data generation capabilities.
  • This role is crucial for bridging the gap between our high-fidelity simulation environment and our production ML models.
  • You will be responsible for architecting, implementing, and maintaining the entire simulation-to-data pipeline, ensuring a consistent and massive flow of quality training data.
Key Responsibilities:
  • Simulation Acceleration & Data Collection: Directly utilize expertise in NVIDIA Isaac Sim to design, script, and optimize simulation scenarios specifically tailored to generate high-quality, diverse data for VLA (Vision-Language Alignment) and NOVA model training objectives.
  • Pipeline Architecture: Design, build, and maintain robust, scalable pipelines for CAD ingestion, scene creation, sensor emulation, and data processing within the Isaac Sim framework.
  • Synthetic Data Management: Implement and manage advanced auto-annotation tools within the simulation environment to rapidly label complex sensory data (e.g., 3D bounding boxes, semantic segmentation, depth maps) for supervised learning.
  • Environment Maintenance: Take ownership of setting up, configuring, and maintaining the simulation environment (including hardware/software dependencies, GPU utilization, and headless operation) to ensure reliable, large-scale parallel execution.
  • Cross-Functional Support: Collaborate closely with the Machine Learning Engineering team to analyze data gaps, iterate on simulation parameters, and ensure the synthetic data distribution matches the necessary complexity and variability of real-world deployment.
  • Performance Tuning: Profile and optimize simulation execution speed to maximize data throughput, essential for rapid iteration cycles in model tuning.
Required Qualifications:
  • Expertise in Simulation: 3+ years of hands-on experience with NVIDIA Isaac Sim (or a comparable high-fidelity physics simulator like Unity/Unreal used for robotics).
  • Programming Proficiency: Expert-level proficiency in Python for scripting, automation, data pipeline construction, and tool development.
  • Robotics Fundamentals: Strong understanding of robotics kinematics, sensor physics (LIDAR, RGB-D cameras, IMU), and their accurate representation in simulation.
  • ML Data Pipeline Experience: Proven experience setting up automated data collection pipelines for Deep Learning projects, including experience with data versioning and metadata management.
  • CAD/3D Workflow: Familiarity with 3D assets, CAD formats, and procedural generation techniques to create complex virtual scenes.
Preferred Qualifications:
  • Familiarity with VLA/NOVA model architectures or similar foundation models in robotics.
  • Experience with cloud computing environments (AWS, Azure, GCP) for scaling simulation jobs.
  • Familiarity with other robotics simulation/middleware like ROS/ROS 2.
  • Experience with hardware-in-the-loop (HIL) or software-in-the-loop (SITL) testing methodologies.