Job description:
Job Title: CAE Machine Learning Engineer
Company: Innovative Numerics (US-based)
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
You will contribute to one or more of the following:
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
* Machine Learning, PyTorch
* Structural mechanics / computational mechanics
* Practical experience developing ML/DL solutions (training, evaluation, data pipelines, reproducibility).
* 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
Benefits: Tuition reimbursement
Work Location: Remote