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Driving Simulator Jobs (NOW HIRING)

CAE, Inc.

Simulator Technician III

Orlando, FL · On-site

Behind every success is a team of dedicated experts driving us forward. Our corporate functions do ... If this sounds like an amazing Simulator Technician III opportunity for you, Our Doors are Open ...

Caeus

Simulator Technician III

Orlando, FL

Behind every success is a team of dedicated experts driving us forward. Our corporate functions do ... If this sounds like an amazing Simulator Technician III opportunity for you, Our Doors are Open ...

Quantum Signal AI

Applications Engineer

Saline, MI · On-site

$80K - $90K/yr

Support driving simulator setup, configuration, and test execution, partnering with QSAI engineering and research teams on studies and testing activities. * Produce clear, maintainable documentation ...

Quantum Signal AI LLC

Applications Engineer

Saline, MI · On-site

$80K - $90K/yr

Support driving simulator setup, configuration, and test execution, partnering with QSAI engineering and research teams on studies and testing activities. * Produce clear, maintainable documentation ...

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Driving Simulator information

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How much do driving simulator jobs pay per week?

As of Aug 16, 2026, the average weekly pay for driving simulator in the United States is $1,573.46, according to ZipRecruiter salary data. Most workers in this role earn between $1,326.92 and $1,740.38 per week, depending on experience, location, and employer.

What is a driving simulator?

A Driving Simulator job involves operating or managing driving simulation equipment to test vehicle performance, train drivers, or conduct research. Professionals in this role may work in automotive development, driver education, or transportation safety. Responsibilities often include setting up simulations, analyzing data, and ensuring realistic driving experiences. This job is common in industries like automotive engineering, academia, and military training.

What are the typical daily responsibilities of a driving simulator operator?

As a Driving Simulator Operator, your day-to-day tasks often include setting up and calibrating simulation equipment, monitoring test runs, recording and analyzing data, and reporting findings to engineers or trainers. You will frequently collaborate with automotive engineers, researchers, or driver instruction teams to design scenarios and troubleshoot technical issues. Tasks may also involve updating simulation software and maintaining hardware to ensure accuracy and safety. This role requires both technical proficiency and effective communication, as you serve as a key link between testing operations and project goals.

What are the key skills and qualifications needed to thrive in the driving simulator position, and why are they important?

To thrive as a Driving Simulator Operator, you need a solid understanding of vehicle dynamics, excellent observational skills, and often a background in automotive testing or engineering. Familiarity with simulation software, data acquisition systems, and possibly certifications in automotive safety or technology are typically required. Strong attention to detail, communication, and problem-solving abilities help operators quickly adapt to test scenarios and provide accurate feedback. These competencies ensure the validity of simulator results, help improve vehicle design or training programs, and maintain safe test environments.

What cities are hiring for Driving Simulator jobs?

Cities with the most Driving Simulator job openings:

What states have the most Driving Simulator jobs?

States with the most job openings for Driving Simulator jobs include:

What job categories do people searching Driving Simulator jobs look for?

The top searched job categories for Driving Simulator jobs are:

Driving Simulator jobs near you
Infographic showing various Driving Simulator job openings in the United States as of August 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $81,820 per year, or $39.3 per hour.

Staff Software Engineer, Simulation ML Infrastructure

Waymo

San Francisco, CA • On-site

$251K - $310K/yr

Other

This job post has expired today. Applications are no longer accepted.

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 Simulation ML Infrastructure team builds scalable AI/ML infrastructure to accelerate the Simulator team in sustainably innovating and building state of the art simulations of realistic environments for the testing and training of the Waymo Driver. To increase the fidelity and steerability of the simulations, we employ large foundation models trained on massive datasets to model the real world, including but not limited to, realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.), roads, traffic control systems, and weather etc.

We seek an experienced senior IC to lead the development of advanced AI/ML infrastructure for multi-billion parameter foundation models in ML accelerator-friendly simulations. Your expertise in massive model scaling, ML accelerators, and large-scale distributed systems will be required for designing and scaling our systems.

This role reports to an Engineering Manager.

You will:

  • Be part of a world-class, high-performing research engineering team to advance the state of the art of ultra realistic multi-agent simulations using foundation models.
  • Collaborate closely with the core Waymo Realism Modeling team in London and Waymo Oxford to use large foundation models to improve sim realism.
  • Work at the intersection of data engineering, model development, and simulations, and drive architectural decisions. Own large, complex systems, driving architectures and designs that meet technical and business objectives.
  • Design and scale large distributed systems covering the ML lifecycle, supporting planet-scale dataset generation, model training, and evaluation.
  • Collaborate cross-functionally to derive performance and system-level requirements for large ML systems. Translate product/business goals into measurable technical deliverables, ensuring system component alignment.

We prefer:

  • 6+ years of professional software engineering experience, with at least 4 years in machine learning infrastructure such as developing, designing, scaling, training, deploying, and optimizing large-scale machine learning systems from data to model.
  • Solid experience in the development and optimization of machine learning infrastructure tools like DeepSpeed, PyTorch, TensorFlow, Ray, or similar frameworks.
  • Strong understanding of state-of-the-art machine learning models and algorithms such as autoregressive transformers and familiarity scaling large models across ML accelerator profiling tools to uncover performance bottlenecks.
  • Strong leadership skills with experience driving ambiguous problems end-to-end, with a willingness and independence to pick up whatever knowledge to get the job done. Passionate about building infrastructure, libraries, tools, and pipelines for engineers and scientists.
  • Excellent communication skills, both verbal and written, with the ability to translate complex technical concepts for a broad audience.
  • Practical familiarity in Autonomous Driving, Simulations, and ML accelerators is a plus.

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
$251,000—$310,000 USD

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