Advanced graduate degree (M.S. or Ph.D.) in computational mechanics, materials science, mechanical/aerospace/nuclear engineering, computational physics, or a closely related engineering or physical science field required; significant industry or national laboratory experience in applied simulation or scientific machine learning may apply.

Demonstrated ability to develop high-quality engineering or scientific code (e.g., in Python, C++).

Demonstrated fluency with statistical sampling, machine learning, and data science techniques.

Simulation experience, PyTorch, ML/AI/Data Science a plus.

Excellent organizational capabilities, including the ability to initiate tasks independently and see them through to completion.

Proficient in rational decision-making based on data, facts, and logical reasoning.

Ability to create work-product-focused materials / outputs, which may include PowerPoint decks, Excel models, articles, or other written deliverables.

Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment.

Ability to work or attend meetings outside of traditional business hours or take on projects with limited or no notice at times.

Ability to travel to and work in varying environments that may be challenging and/or not accessible (e.g., manufacturing facilities, etc.).

Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels.