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Fea Artificial Intelligence Jobs (NOW HIRING)

Exowatt

Lead Mechanical Engineer - Structures

Miami, FL · On-site

$150K - $215K/yr

Develop and validate structural models using Finite Element Analysis (FEA) and other analytical ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Exowatt

Lead Mechanical Engineer - Structures

Miami, FL

$150K - $215K/yr

Develop and validate structural models using Finite Element Analysis (FEA) and other analytical ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Velo3D

Senior Mechanical Engineer

Fremont, CA

$114K - $151K/yr

Thermal Analysis, FEA, CFD, and simulation software. * Systems level thinker with experience ... Experience with risk analysis methods such as FMEA We may use artificial intelligence (AI) tools to ...

ROUSH

Senior NVH & Durability Analyst

Livonia, MI · On-site

$84K - $116K/yr

Build FEA models for various applications in the automotive, aerospace, and industrial segments ... AI (Artificial Intelligence) and Machining Learning skills. Click here to view all current Roush ...

ROUSH

Senior NVH & Durability Analyst

Livonia, MI · On-site

$84K - $116K/yr

Build FEA models for various applications in the automotive, aerospace, and industrial segments ... AI (Artificial Intelligence) and Machining Learning skills. Click here to view all current Roush ...

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All JobsFea Artificial Intelligence Jobs

Fea Artificial Intelligence information

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$26.5K

$141.1K

$197.5K

How much do fea artificial intelligence jobs pay per year?

As of Jun 11, 2026, the average yearly pay for fea artificial intelligence in the United States is $141,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $175,500.00 per year, depending on experience, location, and employer.

Is FEA a good career?

Fea Artificial Intelligence is a specialized role involving the development and application of AI models, often requiring skills in programming, data analysis, and machine learning tools. It can be a promising career path due to the growing demand for AI expertise across industries, with opportunities for advancement and specialization. Success in this field typically depends on continuous learning and staying updated with emerging AI technologies.

Can AI do FEA?

Fea Artificial Intelligence as a job role involves applying AI techniques to enhance finite element analysis (FEA) processes. While AI can assist in automating mesh generation, material property prediction, and result interpretation, it does not replace traditional FEA software but complements it by improving efficiency and accuracy. Professionals in this field often need skills in both AI and FEA software tools like ANSYS or Abaqus.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or chief AI officer, often requiring advanced skills in data science, programming, and AI frameworks. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.

What are some common challenges faced when implementing AI solutions as a Fea Artificial Intelligence professional?

A Fea Artificial Intelligence professional often encounters challenges such as integrating AI models with existing systems, ensuring data quality and availability, and translating business requirements into technical solutions. Additionally, managing stakeholder expectations about AI capabilities and addressing concerns around transparency and ethical use of AI are frequent hurdles. Collaborating closely with cross-functional teams, such as data engineers, domain experts, and business analysts, is essential to successfully navigate these challenges and deliver effective AI solutions.

Which 3 jobs will survive AI?

Fea Artificial Intelligence professionals are likely to find that roles involving complex problem-solving, creative tasks, and human interaction will persist alongside AI advancements. Jobs such as AI specialists, data scientists, and AI ethics consultants are expected to remain in demand due to their reliance on specialized knowledge and critical thinking skills. These roles often require advanced education, continuous learning, and the ability to adapt to evolving technologies.

What are the key skills and qualifications needed to thrive as a FEA Artificial Intelligence Engineer, and why are they important?

To thrive as a FEA Artificial Intelligence Engineer, you need a strong background in finite element analysis, applied mathematics, and AI/ML algorithms, typically supported by a degree in engineering, computer science, or a related field. Proficiency in FEA software (like ANSYS or Abaqus), programming languages such as Python or MATLAB, and familiarity with machine learning frameworks (like TensorFlow or PyTorch) are essential. Analytical thinking, problem-solving skills, and effective communication help you collaborate across multidisciplinary teams and translate complex technical findings. These skills and qualifications are crucial for developing innovative AI-driven solutions in engineering simulations and ensuring accurate, efficient results.

What is a Fea Artificial Intelligence professional?

A Fea Artificial Intelligence (AI) professional specializes in applying AI technologies, such as machine learning and data analytics, to Finite Element Analysis (FEA). They develop and implement AI-driven models to optimize simulations, predict outcomes, and improve the efficiency of engineering design processes. Their work bridges the gap between traditional FEA methods and advanced AI tools, helping organizations accelerate product development and enhance decision-making. These professionals often have backgrounds in engineering, computer science, and applied mathematics.

What is the difference between Fea Artificial Intelligence vs Data Scientist?

AspectFea Artificial IntelligenceData Scientist
Required CredentialsTypically a degree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Computer Science, Statistics, or related fields; certifications in Data Analysis or ML
Work EnvironmentResearch labs, tech companies, AI startupsCorporate, finance, healthcare, tech firms
Industry UsageDeveloping AI models, machine learning algorithms, automationData analysis, predictive modeling, business insights
Common Search/ComparisonFea Artificial Intelligence vs Data Scientist

Fea Artificial Intelligence focuses on developing AI systems and algorithms, often requiring advanced programming and machine learning skills. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles involve data and machine learning, Fea AI is more research and development-oriented, whereas Data Scientists focus on data analysis and business applications.

More about Fea Artificial Intelligence jobs
What cities are hiring for Fea Artificial Intelligence jobs? Cities with the most Fea Artificial Intelligence job openings:
What states have the most Fea Artificial Intelligence jobs? States with the most job openings for Fea Artificial Intelligence jobs include:
What job categories do people searching Fea Artificial Intelligence jobs look for? The top searched job categories for Fea Artificial Intelligence jobs are:
Fea Artificial Intelligence jobs near you
Infographic showing various Fea Artificial Intelligence job openings in the United States as of June 2026, with employment types broken down into 15% Full Time, 62% Part Time, and 23% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $141,053 per year, or $67.8 per hour.
Mechanical Engineer- Industrial Automation

Mechanical Engineer- Industrial Automation

Daniels Health

Taylor, MI • On-site

Full-time

Posted 11 days ago

Daniels Health rating

5.0

Company rating: 5.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

Daniels Health is transforming healthcare waste management through innovation, safety, and sustainability. With operations across the USA, Canada, Europe, Australia, New Zealand, South Africa, and the UK, we are recognized as a global leader committed to making healthcare safer.
As we expand one of the largest healthcare waste service networks in North America and accelerate our global growth agenda, we're investing heavily in automation, engineering, and advanced technology.
We're looking for a Mechanical Engineer excited to design, build, and optimize the next generation of automated systems powering this growth.
What you will do:
  • Design mechanical systems, assemblies, and automated equipment for high-throughput medical waste processing.
  • Develop EOAT, fixtures, and robotic interfaces for integrated automation lines.
  • Run motion studies, FEA, tolerance analysis, and validate mechanical performance.
  • Support equipment builds, commissioning, troubleshooting, and continuous improvement.
  • Collaborate with robotics, controls, electrical, and software teams.
  • Drive improvements in safety, reliability, sustainability, and throughput.

What you bring:
  • Degree in Mechanical Engineering, Mechatronics, or related discipline.
  • 3+ years' experience in automation, robotics integration, or industrial machinery design.
  • Strong CAD skills (SolidWorks, Inventor, Creo, etc.).
  • Experience with pneumatics, hydraulics, power transmission, safety components, and EOAT.
  • Familiarity with robots like FANUC, ABB, KUKA, or Hyundai.
  • A mindset for problem-solving, collaboration, and continuous improvement.

Why Daniels Health?
  • Work for a mission-driven global leader in safety-focused, sustainable healthcare waste solutions.
  • Be part of a company with major growth momentum and expanding infrastructure across North America.
  • Contribute to groundbreaking innovations, including world-leading reusable systems and robotic decontamination technologies.

Check out what our Engineering teams do:
https://youtu.be/Czre5y3WvDs?si=qJWpLS5MIwIzPXJ4
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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