Product Specialist - Simulation Data & AI Engineering

Siemens•Detroit, MI

5d•$109,800 - $197,700•Hybrid

About The Position

Siemens is seeking a technically proficient Product Specialist to join its Engineering Enterprise Applications – Engineering AI Team. The role bridges customers, product management, and development teams, applying expertise in Computer-Aided Engineering (CAE), design verification, and Artificial Intelligence to turn complex engineering challenges into scalable software features. The Product Specialist collaborates with Product Management and R&D/Development teams to define customer requirements and workflows, and supports feature planning and delivery through the product and release lifecycle. The role also serves as a technical liaison among end users, support, product managers, and developers; designs and optimizes CAE and engineering AI methods for design verification and validation; and guides integration of AI-driven engineering applications in High-Performance Computing environments. The position is full-time and permanent, with a hybrid remote/office work mode in Detroit, Michigan. Siemens describes flexibility between working at home and in the office and offers health and wellness benefits. The advertised annual pay range is $109,800–$197,700, with the actual offer dependent on factors including candidate experience, skills, qualifications, and geographic location.

Requirements

4 to 6+ years of relevant technical experience in CAE, design verification, and Engineering AI.
Hands-on experience using CAE and Engineering AI tools for design validation and verification.
Expert-level understanding of Engineering AI methods, numerical simulation, and validation methodologies.
Working knowledge of HPC architectures and workload management systems.
Strong programming and scripting skills.

Nice To Haves

PBS Professional (Portable Batch System) experience.
Python, preferred for automation, data analysis, and tool integration.
Exposure to formal product and release management methodologies, such as Agile/Scrum.
Familiarity with enterprise-scale deployment of engineering software applications.

Responsibilities

Collaborate with Product Management and R&D/Development teams to translate customer requirements and workflows into detailed feature plans and technical specifications.
Drive feature planning, tracking, and execution throughout the product and release management lifecycle, ensuring alignment with enterprise engineering standards.
Serve as the technical liaison among end users, support, product managers, and software developers.
Design, validate, and optimize CAE and engineering AI methods to improve design verification and validation processes.
Provide guidance on integrating AI-driven engineering applications within High-Performance Computing environments.