FEA AI /ML Engineers

Iveco Group; Remoto; EUR 30.000 - 50.000; Part-time

Descrizione del lavoro

A specialized engineering technology company is seeking a CAE Machine Learning Engineer to contribute to innovative product development in a fully remote environment. The role encompasses applied research, software development, and customer interactions. Candidates should have solid experience in Python and CAE/FEA, alongside the capability to manage complex engineering challenges. The ideal candidate will enjoy competitive compensation and flexible working hours within a collaborative team setting.

Servizi

Competitive compensation

Flexible working hours

Opportunity to shape product direction

Competenze

• Strong hands-on experience with Python for scientific/engineering computing.
• Experience with CAE and FEA terminology and workflows.
• Ability to work independently in a remote setting.

Mansioni

• Support product acceleration and business activities.
• Build tools and test harnesses.
• Propose ML/DL architectures for structural simulation.
• Develop and integrate frameworks with software practices.

Conoscenze

Python for scientific/engineering computing

CAE/FEA experience

Ability to work independently in a remote setting

Comfort working across research + engineering + customer needs

Strumenti

Abaqus

Descrizione del lavoro

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)
• Customs 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 + 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