FEA AI /ML Engineers

JD Ross Energy; Remoto; EUR 30.000 - 50.000; Part-time

Descrizione del lavoro

A cutting-edge engineering technology company is seeking a CAE Machine Learning Engineer to help accelerate product development by designing and validating capabilities in structural simulation and mechanical design workflows. The role offers the chance to contribute to technical work while effectively collaborating with clients. Ideal candidates have strong Python experience, CAE/FEA understanding, and the capacity to work independently in a flexible, remote environment.

Servizi

Competitive compensation

Flexible working hours

Opportunity to shape product direction

Competenze

• Strong hands-on experience with Python for scientific/engineering computing.
• CAE/FEA experience and terminology (meshing, BCs, material models).
• Comfortable working across research and engineering in a fast-moving environment.

Mansioni

• Support product acceleration and business activities.
• Build tools and test harnesses to improve reliability and performance.
• Validate and benchmark methods using representative datasets.

Conoscenze

Python for scientific computing

CAE/FEA terminology

Independent work in remote setting

Cross-time-zone collaboration

Strumenti

Abaqus

Descrizione del lavoro

Direct message the job poster from Innovative Numerics LLC

Job Title: CAE Machine Learning Engineer

Location: Remote

Role Summary

We are seeking a CAE Machine Learning Engineer to help accelerate Innovative Numerics’ product roadmap by designing, building, and validating capabilities for structural simulation and mechanical design workflows. This role spans applied research, software development, and customer‑facing technical work, including testing, pre‑sales support, and consulting.

Responsibilities

• Support product acceleration and business activities, which may include:
  • Building tools and test harnesses
  • Improving reliability, performance, and usability
  • Creating demos and technical collateral
  • Assisting with pre‑sales, technical discussions, and evaluations
  • Contributing to consulting engagements (FEA problem framing, workflow setup, results interpretation)
  • Custom software development with Abaqus
  • Validate and benchmark methods on representative datasets, benchmarks, and real‑world customer use cases; document performance and limitations.
  • Review and synthesize literature on applying machine learning and deep learning to mechanical design, structural simulation, and optimization problems; summarize best approaches and practical learnings for product use.
  • Propose ML/DL architectures and workflows that capture domain‑specific heuristics for structural simulation and design optimization across diverse problem classes.
  • Develop and integrate prototypes/frameworks using strong software engineering practices and deep learning libraries; contribute directly to product plans and timelines.

Qualifications Required

• Strong hands‑on experience with Python for scientific/engineering computing.
• CAE/FEA experience and terminology (meshing, BCs, material models, solver outputs, interpretation).
• Comfort working across research, engineering, and customer needs in a fast‑moving environment.
• Ability to work independently in a fully remote setting with cross‑time‑zone collaboration.

Nice to Have Skills

• CAE background with exposure to structural simulation workflows.
• Structural mechanics / computational mechanics.
• Abaqus FEA experience (running jobs, post‑processing, automation, scripting, workflows).

What We Offer

• Fully remote role.
• Opportunity to shape product direction at the intersection of ML and CAE.
• Competitive compensation (based on experience and engagement type).
• Flexible working hours with some overlap with US team.

About Innovative Numerics

Innovative Numerics LLC is a specialized engineering technology company focused on advanced simulation, computational mechanics, and applied AI in the cloud. Since 2013, we have helped leading consumer, technology, and industrial companies solve complex engineering problems. We work at the intersection of AI/ML, cloud infrastructure, and physics‑based simulation, in a small, high‑caliber team environment where engineers and researchers have real ownership, see the impact of their work quickly, and collaborate closely across predictive technologies, software, and infrastructure.

Job Types: Part‑time, Contract, Internship

Work Location: Remote