Jobs

Description

Desired Location (Remote/Onsite):  - Seattle, WA  or NYC

Must have:

• Power-user proficiency with industry-standard CAD and simulation tools (e.g., SolidWorks, Siemens NX, FreeCAD, Autodesk Inventor, CATIA, or Ansys).
• Broad foundational knowledge across mechanical sub-fields (thermodynamics, fluid mechanics, structural analysis, manufacturing).
• Experience working in cross-functional environments and communicating technical engineering information clearly to non-domain audiences (e.g., software engineers, AI scientists).
• Ability to manage multiple tasks and meet deadlines in a fast-paced environment.

Nice to have:

• Basic scripting skills (e.g., Python, MATLAB) to help parse data or interface with AI environments. (Note: Advanced software engineering or machine learning expertise is not required).

Location US – WA – Seattle or US – NY – New York (remote work options may be available for candidates located within the United States, based on business needs and role requirements).

Summary:

Client is seeking a Temporary Mechanical Engineer to act as a domain expert supporting our AI Research initiatives.

• In this role, you will bridge the gap between traditional mechanical engineering and artificial intelligence by helping our team develop, validate, and stress-test AI tools tailored for physical systems and design analysis.
• You will partner closely with AI researchers to evaluate engineering workflows, define benchmarks, and ensure AI outputs meet the rigorous standards of the discipline.
• This is a temporary role and is not a full-time employment opportunity.

Job Responsibilities:

• Validate AI Workflows: Evaluate the feasibility, manufacturability, and practical utility of AI-generated mechanical designs, components, and simulations.
• Define Tasks & Benchmarks: Help design, collect, and validate the specific engineering tasks, edge cases, and evaluation metrics (validators) that our AI models need to master.
• Provide Domain Expertise: Operate comfortably across a wide range of mechanical engineering sub-disciplines, applying generalist knowledge in CAD/CAM, thermodynamics, fluid mechanics, and structural analysis to assess model performance.
• Collaborate Cross-Functionally: Partner directly with AI researchers and cross-functional stakeholders to translate complex mechanical constraints into clear, actionable feedback for model training.
• Ensure Compliance: Ensure all evaluated deliverables and AI-generated outputs follow applicable engineering standards, safety requirements, and documented processes.

Education/Experience:

• Bachelor’s degree in Mechanical Engineering or related engineering field, or equivalent practical experience.
• 3-5+ years of practical, post-graduation mechanical engineering experience.

Where does this position fit within the team?   

• The engineer will be embedded with the team. They will work closely with 1 or 2 researchers as they design the AI workflows that most effectively help a engineer in their discipline.

What makes this role interesting?           

• You will play a pivotal role in steering the next evolution of physical engineering tools by bridging the gap between traditional mechanical design and advanced AI, directly influencing how future engineering workflows are developed and validated.