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Remote Cfd Simulation Engineer Jobs in California

Jitx Inc.

Senior Software Engineer

Berkeley, CA · On-site +1

$150K - $250K/yr

You'll be diving straight into our new simulation loop project, a core initiative that tightly ... Architected to support headless and remote. We may use artificial intelligence (AI) tools to ...

Terabase Energy

Power Systems Engineer

Berkeley, CA · On-site +1

  • Retirement

The Power Systems and Controls Engineer will serve as a key technical leader in power system ... This position is remote. Key Responsibilities * Lead the power system modeling and simulation ...

Kairos Power

Senior Nuclear Facility Engineer

Alameda, CA · On-site +1

$118K - $162K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop and implement standardized layouts, component interfaces, and remote maintenance connection ... Knowledge of FEA and CFD methods and ability to apply results to mechanical design decisions

SpaceX

Process Safety Engineer (Raptor/Starship)

Hawthorne, CA · On-site +1

$110K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with Robotic Process Automation (RPA) * Experience with CAE / CFD tools (Ansys ... This isnota remote or hybrid position and will require relocation if not already local to the ...

Waymo

Senior System Test Engineer, Perception

San Diego, CA · On-site +1

$110K - $151K/yr

... when remote assistance is needed, across multiple platforms and in support of rapid ... Write reusable, high quality, software for analyzing simulation test results and be an enabler and ...

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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.

Are remote CFD Simulation engineers in demand?

Remote CFD Simulation engineers are in demand due to the increasing use of computational fluid dynamics in industries such as aerospace, automotive, and energy. Skills in software like ANSYS, OpenFOAM, and programming languages such as Python or C++ enhance employability, and many companies offer remote positions to access a global talent pool.

What is a remote CFD simulation engineer?

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.

How much does a remote CFD simulation engineer make?

A remote CFD simulation engineer typically earns between $70,000 and $130,000 annually, depending on experience, education, and industry. Senior roles or those with specialized skills in software like ANSYS or OpenFOAM may offer higher salaries, especially with certifications or advanced degrees. Compensation can also vary based on the company's size and location of the employer.

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.

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

The most popular types of Cfd Simulation Engineer jobs in California are:

What are popular job titles related to Remote Cfd Simulation Engineer jobs in California?

For Remote Cfd Simulation Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Cfd Simulation Engineer jobs in California look for?

The top searched job categories for Remote Cfd Simulation Engineer jobs in California are:

What cities in California are hiring for Remote Cfd Simulation Engineer jobs?

Cities in California with the most Remote Cfd Simulation Engineer job openings:

Remote Cfd Simulation Engineer jobs near you

RL Environment Software Engineer

talentpluto

San Francisco, CA • Remote

$220K - $400K/yr

Full-time

Re-posted 15 days ago

Job description

Location: Remote (United States)

Work Model: Remote

Industry: Applied AI / AI research data

Compensation: $180K-$220K base, ~$400K+ OTE (uncapped profit share)

About the Company

Our partner is a fast-growing applied AI research lab that builds high-quality reinforcement-learning environments and agents sold to the world's leading AI labs. In under two years they have scaled to a nine-figure revenue run rate and grown their team severalfold in a matter of months, backed by leading venture investors. Quality is their core differentiator, and they are rapidly expanding into new domains.

The Opportunity

As an RL Environment Software Engineer, you will sit at the intersection of research engineering and traditional software engineering, building the environments that simulate real-world workflows and the agents that automate them. This is forward-looking work, you will help research and predict what high-quality environments the frontier will need next, then build them from the ground up.

You will join a brand-new RL team being assembled with exceptional talent, with a clear path to grow alongside it as the function scales into industry pods.

Responsibilities
  • Design and build high-quality RL environments that simulate real working environments end to end.
  • Develop agents for the tasks within those environments and iterate until they are efficient and production-ready.
  • Partner with the research team to scope which environments to build and why, staying ahead of future demand rather than only meeting present needs.
  • Own the backend and infrastructure layers that make environments reliable and scalable.
  • Help set engineering standards for a zero-to-one team as the RL function grows.
Requirements
  • Strong machine-learning engineers who code heavily and build systems from scratch, with strong intuition for reinforcement learning.
  • Proficiency across a modern stack, Node.js and Python on the backend and React/TypeScript on the frontend, with strong Kubernetes and Docker skills.
  • Comfort operating in a fast-paced startup environment with high ownership and long hours.
  • A track record of meaningful tenure and impact at previous companies.
  • Reinforcement-learning experience or an RL research background is a strong plus, though not required.
  • Bachelor's degree in computer science or a related technical field, or equivalent practical experience.

Apply