Aerospace Engineer

Aerospace Engineer

Location: Seattle, WA/ New York, NY /Remote
Duration: 12 months

Description:
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 Client/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, Client) 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.
Bachelors degree in Aerospace Engineering or related engineering field, or equivalent practical experience.
These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.

Level:
II- 2-4 years