CAE/FEA Engineer

Job Description

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)