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Remote Ansys Fea Jobs in Florida (NOW HIRING)

CAE/FEA Engineer

Pembroke Pines, FL · Remote

$170K - $235K/yr

Career Renew is recruiting for one of its clients a CAE/FEA Engineer - this is a fully remote role ... Ansa (hard req) or Ansys, Abaqus (preferred) Proficiency with CAD tools, especially CATIA V5/V6 or ...

New

Remote Ansys Fea information

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

Remote Ansys FEA Engineers often encounter challenges such as effective communication with cross-functional teams, managing large simulation files over limited bandwidth, and maintaining version control of models and results. To address these, it’s essential to establish clear communication protocols, use collaborative cloud-based platforms for file sharing, and adopt robust project management tools. Regular virtual meetings and well-documented workflows also help ensure alignment and minimize errors in collaborative projects.

What is the difference between Remote Ansys Fea vs Remote Mechanical Engineer?

AspectRemote Ansys FeaRemote Mechanical Engineer
Required CredentialsEngineering degree, FEA software proficiency, certifications in AnsysEngineering degree, CAD and analysis software skills, relevant certifications
Work EnvironmentPrimarily software analysis, simulation tasks, remote collaborationDesign, analysis, testing, often involving remote or onsite work
Industry UsageEngineering firms, product development, aerospace, automotiveManufacturing, product design, aerospace, automotive

Remote Ansys Fea specialists focus on finite element analysis using Ansys software, primarily performing simulations and stress analysis remotely. Remote Mechanical Engineers have a broader role, including design, testing, and analysis across various engineering projects. Both roles require engineering credentials, but Ansys Fea roles are more specialized in simulation software, while Mechanical Engineers may work with multiple tools and tasks.

What is a remote Ansys FEA engineer?

A Remote Ansys FEA Engineer is a professional who specializes in using Ansys software to perform Finite Element Analysis (FEA) from a remote location. This role involves simulating and analyzing the structural, thermal, or fluid dynamics behavior of products or systems to predict their performance under various conditions. Remote Ansys FEA Engineers collaborate with teams online, interpret simulation results, and provide design recommendations to improve product reliability and efficiency. They typically have backgrounds in mechanical engineering or related fields and strong proficiency in Ansys software.

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

To thrive as a Remote Ansys FEA Engineer, you need a solid background in mechanical or structural engineering, strong analytical skills, and experience with finite element analysis (FEA) methods, often backed by a relevant engineering degree. Proficiency in Ansys software, CAD tools, and familiarity with industry standards or certifications like PE (Professional Engineer) are typically required. Excellent problem-solving, communication, and self-management skills distinguish top performers in remote roles. These skills and qualities are crucial for delivering accurate simulations, meeting project deadlines, and collaborating effectively within distributed engineering teams.
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CAE/FEA Engineer

Career Renew

Pembroke Pines, FL • Remote

$170K - $235K/yr

Full-time

Posted 2 days ago

New


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)