AI-Driven Technical Specialist - Physics Simulation

Siemens AG; Livonia (MI); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Siemens AG is seeking a Technical Specialist to drive AI in engineering simulation, bridging development, product, and customer-facing teams. You will support demonstrations, benchmarks, and real-world customer challenges, contributing to reusable training materials and technical docs.

The role emphasizes collaboration across global teams, with a hybrid work model and a focus on AI-enabled physics simulations to accelerate design decisions.

Qualifications

• Experience with physics-based simulation tools used in engineering (e.g., Nastran, OptiStruct, STAR-CCM+).
• Familiarity with Simcenter or similar simulation software environments.
• Programming skills with Python preferred.
• Understanding of ML concepts such as data curation and model testing.
• Ability to communicate complex topics clearly to diverse audiences.
• Experience working with distributed/global teams.

Responsibilities

• Deliver technical demonstrations for customer-facing engagements.
• Guide customers during software evaluations, benchmarks, and outcome optimization.
• Collaborate with internal teams on benchmarks and validation activities.
• Contribute to outbound technical communication such as docs or presentations.
• Capture and communicate customer feedback to inform product development.
• Act as liaison between development, product, sales, and marketing teams.

Skills

Physics-based simulation

Python

Machine learning basics

Technical communication

Collaborative teamwork

Benchmarking

Tools

Nastran

OptiStruct

STAR-CCM+

Job description

Siemens AG is seeking a Technical Specialist to drive AI in engineering simulation, bridging development, product, and customer-facing teams. You will support demonstrations, benchmarks, and real-world customer challenges, contributing to reusable training materials and technical docs.

The role emphasizes collaboration across global teams, with a hybrid work model and a focus on AI-enabled physics simulations to accelerate design decisions.