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Remote Cfd Simulation Engineer Jobs in California

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.

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Remote Cfd Simulation Engineer information

How does a Remote CFD Simulation Engineer typically collaborate with cross-functional teams during projects?

As a Remote CFD Simulation Engineer, you will frequently collaborate with multidisciplinary teams such as design engineers, project managers, and product development specialists. Communication is often handled through virtual meetings, shared documentation platforms, and project management tools to ensure alignment on project goals and timelines. You may participate in regular progress updates, provide simulation results, and offer technical recommendations to influence design decisions. Being proactive in communication and adept at remote collaboration tools is essential for success in this role.

What are Remote CFD Simulation Engineers?

Remote CFD Simulation Engineers are professionals who specialize in using computational fluid dynamics (CFD) software to analyze and solve problems related to fluid flow, heat transfer, and related physical phenomena. They work remotely, often collaborating with engineering teams via digital platforms, to develop simulations for industries such as aerospace, automotive, energy, and manufacturing. Their work helps optimize product designs, improve efficiency, and predict performance without the need for physical prototypes.

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

To thrive as a Remote CFD Simulation Engineer, you need a strong background in fluid dynamics, numerical methods, and a relevant engineering degree, often supported by experience in computational modeling. Expertise in CFD software tools such as ANSYS Fluent, OpenFOAM, or STAR-CCM+, and familiarity with programming languages like Python or MATLAB, are typically required. Strong problem-solving skills, self-motivation, and effective communication are vital for collaborating remotely and delivering results. These competencies ensure accurate simulations, efficient workflows, and successful project outcomes in a remote engineering environment.

What is the difference between Remote Cfd Simulation Engineer vs Remote Mechanical Design Engineer?

AspectRemote Cfd Simulation EngineerRemote Mechanical Design Engineer
Required CredentialsBachelor's or Master's in Mechanical Engineering, CFD certificationsBachelor's or Master's in Mechanical Engineering, CAD certifications
Work EnvironmentSoftware-focused, simulation labs, engineering teamsDesign studios, CAD software, prototyping facilities
Industry UsageAerospace, automotive, energy sectorsManufacturing, product design, consumer goods

Remote Cfd Simulation Engineers primarily focus on fluid dynamics simulations to optimize designs, while Remote Mechanical Design Engineers concentrate on creating and refining mechanical components using CAD tools. Both roles require strong engineering credentials and often work within the same industries, but their daily tasks and tools differ significantly.

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Remote Cfd 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 17 days ago

Job description

Machine Learning Engineer, Simulation Realism

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 foundational World Model trained on our datasets, world understanding and reasoning capabilities for tail cases, and reinforcement learning for long term credit assignment. We also invest in capable infrastructure that allows us to quickly set up and roll out multiple counterfactual scenarios to rigorously test our autonomous driving systems.

In this hybrid role, you will report to a Senior Staff Tech Lead Manager

You will:

  • Drive innovation in ultra-realistic world simulation for autonomous vehicles. You will develop the latest simulation technologies using foundation models for embodied agents.
  • Apply your deep Machine Learning (ML) expertise, in Generative AI (GenAI), to push the boundaries of simulation realism and directly influence the advancement of autonomous driving technology.
  • Work with Waymo's foundational AI research team to transfer research into scalable and production-ready solutions.

You have:

  • 5+ years of experience with ML software engineering
  • 5+ years of experience with Python
  • 5+ years of ML software experience with machine learning framework including Pytorch, Tensorflow, Jax/Flax

We prefer:

  • Experience working with, creating and/or developing ML models for robotics and/or self driving vehicles
  • Strong C++ in production setting, with experience in integrating ML models in production system
  • Experience in training large scale models on GPU/TPU clusters are strongly preferred

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

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