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Remote Cfd Jobs in Berkeley, CA (NOW HIRING)

Higharc

Sr. Software Engineer, Structural

San Francisco, CA · Remote

$102K - $139K/yr

Working at Higharc Remote work and travel: Our company is entirely remote, and has been since we were founded in 2018. Remote work means more time with family, less time commuting, and the ...

Terabase Energy

SCADA Engineer

Berkeley, CA · Remote

$90K - $115K/yr

Program, install, troubleshoot, test, and commission Remote Terminal Units (RTU's), Programmable Logic Controllers (PLC's), & Human Machine Interfaces (HMI's) for * Active Power Curtailment

Terabase Energy

SCADA Engineer

Berkeley, CA · On-site +1

$90K - $115K/yr

Program, install, troubleshoot, test, and commission Remote Terminal Units (RTU's), Programmable Logic Controllers (PLC's), & Human Machine Interfaces (HMI's) for * Active Power Curtailment

DocuSign

Sr. Growth AI Engineer

San Francisco, CA · On-site +1

$123K - $168K/yr

Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation ...

Terabase Energy

SCADA Engineer

Berkeley, CA · On-site +1

$90K - $115K/yr

Program, install, troubleshoot, test, and commission Remote Terminal Units (RTU's), Programmable Logic Controllers (PLC's), & Human Machine Interfaces (HMI's) for * Active Power Curtailment

You.com

Senior Search Engineer

San Francisco, CA · On-site +1

$190K - $260K/yr

This is a remote position open to candidates based in the United States. We also have co-working spaces in the San Francisco Bay Area and New York. Responsibilities * Design and Implement Scalable ...

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Showing results 21-40

All JobsCfd JobsRemote Cfd JobsRemote Cfd Jobs in Berkeley, CA

Remote Cfd information

See Berkeley, CA salary details

$13.5K

$113.9K

$161.6K

How much do remote cfd jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote cfd in Berkeley, CA is $113,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $134,700.00 per year, depending on experience, location, and employer.

What is a remote CFD?

Remote CFD jobs involve using Computational Fluid Dynamics (CFD) software and techniques to simulate and analyze fluid flows, heat transfer, and related phenomena from a location outside a traditional office, such as from home. Professionals in these roles use specialized software to model complex systems in industries like aerospace, automotive, or energy. Remote CFD jobs require strong analytical skills, proficiency with simulation tools like ANSYS or OpenFOAM, and effective communication to collaborate with teams online. These positions offer flexibility and the opportunity to work with global clients or companies while staying up-to-date with the latest simulation methods.

What are the key skills and qualifications needed to thrive as a remote CFD engineer?

To thrive as a Remote CFD (Computational Fluid Dynamics) Engineer, you need a strong background in fluid mechanics, numerical methods, and engineering principles, typically with a degree in mechanical, aerospace, or chemical engineering. Proficiency in CFD software such as ANSYS Fluent, OpenFOAM, or STAR-CCM+, along with experience in programming languages like Python or MATLAB, is crucial. Strong problem-solving abilities, self-motivation, and effective remote communication skills set outstanding professionals apart. These competencies ensure accurate simulation results, efficient project management, and successful collaboration within distributed engineering teams.

What are some common challenges faced by remote CFD engineers, and how can they be addressed?

Remote CFD (Computational Fluid Dynamics) Engineers often encounter challenges related to collaborating with team members across different time zones and ensuring efficient data sharing due to the large size of simulation files. To address these issues, it's important to establish clear communication channels, utilize cloud-based collaboration tools, and maintain strong documentation practices. Additionally, proactively scheduling regular meetings and leveraging version control systems can help streamline project workflows and keep everyone aligned, even when working remotely.

What is the difference between Remote Cfd vs Remote CFD?

AspectRemote CfdRemote CFD
CredentialsEngineering degree, CFD certificationEngineering degree, CFD certification
Work EnvironmentHome office, software-based tasksHome office, software-based tasks
Industry UsageEngineering firms, simulation companiesEngineering firms, simulation companies
Job FocusComputational Fluid Dynamics analysisComputational Fluid Dynamics analysis

Both Remote Cfd and Remote CFD roles involve CFD analysis, require similar credentials, and are used in engineering and simulation industries. The main difference lies in terminology preference, with 'CFD' being more common in industry jargon. Overall, they represent comparable positions with slight naming variations.

What are the most commonly searched types of Cfd jobs in Berkeley, CA?

The most popular types of Cfd jobs in Berkeley, CA are:

What are popular job titles related to Remote Cfd jobs in Berkeley, CA?

For Remote Cfd jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Remote Cfd jobs in Berkeley, CA look for?

The top searched job categories for Remote Cfd jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Remote Cfd jobs?

Cities near Berkeley, CA with the most Remote Cfd job openings:

Remote Cfd jobs near you

Artificial Intelligence Engineer (Remote)

Eazifunds

San Francisco, CA • On-site, Remote

Full-time

Re-posted 17 days ago

Job description

The Role:
We’re looking for an experienced artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), LLM, computer vision, robotic process automation, human in the loop, decision-making engines, chatbots, and robotics to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference.

Objectives of this role:
1. Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy
2. Understand company and client challenges and how integrating AI capabilities can help lead to solutions
3. Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
4. Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
Responsibilities:
1. Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
2. Work on functional design, process design (including scenario design and flow mapping), prototyping, testing, training, and defining support procedures in collaboration with an advanced engineering team and executive leadership
3. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
4. Manage a team in conducting assessments of the AI and automation market and competitor landscape
5. Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation
Requirement skills and qualifications:
1. Two or more years of experience in applying AI to practical and comprehensive technology solutions
2. Experience with ML, deep learning, TensorFlow, Python, and NLP
3. Experience in program leadership, governance, and change enablement
5. Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
6. Experience in REST API development, NoSQL database design, and RDBMS design and optimization
Plus:
1. A bachelor's or master's degree in computer science or related field
2. Experience with innovation accelerators
3. Experience with cloud environments
What we can offer:
1. Salary
2. Stock options
3. Performance-Based Bonus
4. Employee Benefits

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