Jobs

Description

US - WA - Seattle, US - WA – NYC

The candidate will act as an Aerospace Engineering Subject Matter Expert (SME) supporting an AI Research team. Their responsibility is to validate, review, and improve AI-generated aerospace designs, simulations, and engineering workflows.

They are not building AI models. Instead, they ensure AI outputs are technically correct, safe, and aligned with aerospace engineering principles.

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).

Must-Have Skills

• Power-user proficiency with industry-standard aerospace design and simulation tools (e.g., STK, NASTRAN/PATRAN, ANSYS Fluent, OpenVSP, or MATLAB/Simulink).
• Broad foundational knowledge across aerospace sub-fields (aerodynamics, propulsion, orbital mechanics, avionics).
• 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 Skills

• 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).

Summary:

• Client is seeking a Temporary Aerospace Engineer to act as a domain expert supporting our AI Research initiatives. In this role, you will bridge the gap between traditional aerospace engineering and artificial intelligence by helping our team develop, validate, and stress-test AI tools tailored for aerospace systems, flight dynamics, and structural 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.

Job Responsibilities:

• Validate AI Workflows: Evaluate the feasibility, safety, and practical utility of AI-generated aerospace designs, mission profiles, and complex 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 aerospace sub-disciplines, applying generalist knowledge in aerodynamics, propulsion, orbital mechanics, and avionics (GNC) to assess model performance.
• Collaborate Cross-Functionally: Partner directly with AI researchers and cross-functional stakeholders to translate complex aerospace constraints into clear, actionable feedback for model training.
• Ensure Compliance: Ensure all evaluated deliverables and AI-generated outputs follow applicable aerospace engineering standards, safety requirements, and documented processes.

Skills:

• Power-user proficiency with industry-standard aerospace design and simulation tools (e.g., STK, NASTRAN/PATRAN, ANSYS Fluent, OpenVSP, or MATLAB/Simulink).
• Broad foundational knowledge across aerospace sub-fields (aerodynamics, propulsion, orbital mechanics, avionics).
• 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.
• 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).

Education/Experience:

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