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Fea Jobs in Rochester, MI (NOW HIRING)

Career Renew

CAE/FEA Engineer

Detroit, MI · Remote

$170K - $235K/yr

Career Renew is recruiting for one of its clients a CAE/FEA Engineer - this is a fully remote role for US-based candidates. Salary range: 170-235K USD base plus benefits plus equity. Not open to visa ...

Posted today

General Motors

VDDV (CAE) Engineer

Warren, MI · Hybrid

Complete FEA analysis including the production of VDDV models from NX math and execution of documented VDDV models per assigned projects. Compare FEA results to performance requirements and recommend ...

General Motors

VDDV (CAE) Engineer

Warren, MI · On-site

Complete FEA analysis including the production of VDDV models from NX math and execution of documented VDDV models per assigned projects. Compare FEA results to performance requirements and recommend ...

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Fea information

What is an FEA job?

An FEA (Finite Element Analysis) job involves using computational techniques to simulate and analyze how structures, components, or materials respond to real-world conditions like stress, heat, and vibration. FEA engineers use specialized software to create models, run simulations, and interpret results to improve designs and ensure safety and performance. This role is common in industries like aerospace, automotive, and manufacturing, where structural integrity is critical. Strong skills in engineering, mathematics, and software tools like ANSYS or Abaqus are typically required.

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

To thrive as a FEA (Finite Element Analysis) Engineer, you need a strong background in mechanical or structural engineering, proficiency in finite element modeling, and a solid understanding of materials science and mechanics. Expertise in technical tools such as ANSYS, Abaqus, or similar simulation software, and sometimes certification in these tools, is commonly required. Analytical thinking, problem-solving ability, and clear communication are vital soft skills for interpreting results and collaborating with cross-functional teams. These competencies are crucial to delivering accurate simulations and effective engineering solutions in design and analysis projects.

What are some common challenges faced by Finite Element Analysis (FEA) Engineers in their daily work?

FEA Engineers often face challenges such as validating simulation models, ensuring that their analyses accurately replicate real-world behavior, and managing complex geometries or material properties within tight project deadlines. Balancing simulation accuracy with computational efficiency can also be demanding, especially when dealing with large models or limited company resources. Additionally, FEA Engineers frequently collaborate with design, manufacturing, and testing teams, which requires them to translate technical simulation results into actionable engineering recommendations. Staying current with evolving simulation software and industry standards is also essential for long-term success in this role.

What are the most commonly searched types of Fea jobs in Rochester, MI? The most popular types of Fea jobs in Rochester, MI are:
What are popular job titles related to Fea jobs in Rochester, MI? For Fea jobs in Rochester, MI, the most frequently searched job titles are:
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Infographic showing various Fea job openings in Rochester, MI as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

CAE/FEA Engineer

Career Renew

Detroit, MI • Remote

$170K - $235K/yr

Full-time

Posted 18 hours ago

Posted today

Job description

Career Renew is recruiting for one of its clients a CAE/FEA Engineer - this is a fully remote role for US-based candidates. Salary range: 170-235K USD base plus benefits plus equity. Not open to visa sponsorships/transfers.

We build Collaborative Intelligence™ — an always-human-in-the-loop AI system that augments humanity instead of replacing it. They work with the biggest OEMs and innovative automotive partners on cutting-edge tech like electric vehicles and autonomous systems.


You'll join a well-funded startup ($120M raised from top investors like Crosspoint Capital) with only 53 people, giving you massive ownership and impact. Work alongside brilliant minds including an SVP of Engineering who managed 6,000 engineers at Lockheed Martin for 27 years.


This Forward Deployed Engineer role puts you at the forefront of deploying AI in automotive manufacturing. You'll own client relationships and build custom solutions that bridge cutting-edge ML with mission-critical physical systems.

As a Forward Deployment Engineer specializing in Automotive deployment, you will act as the primary bridge between SynthBee’s ML technologies and the rigorous engineering standards of our tier-1 partners. You will advise leadership on the deployment of ML-powered systems within highly regulated environments, ensuring that innovation never compromises safety or compliance.

What you'll do

  • Technical Deployment & Advisory: Provide deep-domain expertise in mechanical and systems engineering to ensure ML models are physically grounded and technically viable.

  • Regulatory Alignment: Lead the translation of complex regulatory requirements (FDA, ISO, etc.) into technical constraints for ML development.

  • System Architecture: Oversee the lifecycle of complex systems, from requirements capture to V-Model verification and validation (V&V).

  • Cross-Functional Liaison: Act as the "translator" between software/ML teams and client-side software/hardware engineering departments (Mechanical, Thermal, Safety).

  • Root Cause Analysis: Utilize engineering fundamentals to troubleshoot system-level failures in the field, bridging the gap between digital predictions and physical outcomes.

Requirements:
5 - 15 years of experience as a systems engineer in the automotive industry (Mandatory)
Hands-on systems engineering ownership across the full lifecycle (requirements, ICDs, V&V) (Mandatory)
Has done external client-facing technical work (presented findings, managed relationships, or deployed at client sites) (Mandatory)
Previous experience as a Technical Product Manager at some point in their career (Nice-to-have)
Previous startup experience (Nice-to-have)
Bachelor's in Mechanical or similar engineering field (Mandatory)
Master's or PhD in a relevant engineering field (Nice-to-have)
Hands-on experience with FEA tools: Ansa (hard req) or Ansys, Abaqus (preferred)
Proficiency with CAD tools, especially CATIA V5/V6 or Hyperworks (Mandatory)
Familiarity with automotive standards (e.g., ISO 26262, ASPICE) (Nice-to-have)
Exposure to AI/ML deployment or configuration (API integration, cloud infrastructure, or agentic systems) — does not need to have trained models (Nice-to-have)
Willing to travel 35%-50% of the time for client deployments (Mandatory)