Aerospace Engineer II

Skillsheet; Seattle (WA); On-site; USD 90,000 - 130,000; Full time

Job summary

Skillsheet in Seattle seeks an experienced Aerospace Engineer II to bridge traditional aerospace engineering with AI tools for aerospace systems, flight dynamics, and simulations. You will validate AI workflows and collaborate with AI researchers to translate constraints into actionable feedback.

Ideal candidates have 3-5+ years in aerospace engineering, a Bachelor's in Aerospace Engineering, and strong communication skills to explain complex tech to non-domain colleagues.

Qualifications

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

Responsibilities

• Validate AI workflows for aerospace designs, mission profiles and complex simulations.
• Define tasks and benchmarks, including evaluation metrics that AI models must master.
• Provide domain expertise across aerodynamics, propulsion, orbital mechanics and avionics (GNC).
• Collaborate with AI researchers and cross-functional stakeholders to translate constraints into feedback.
• Ensure delivered outputs follow aerospace engineering standards and safety requirements.

Skills

Aerospace fundamentals

Cross-functional communication

Deadline management

Problem solving

Education

Bachelor’s degree in Aerospace Engineering

Equivalent practical experience

Tools

STK

NASTRAN/PATRAN

ANSYS Fluent

OpenVSP

MATLAB/Simulink

Job description

We are seeking an experienced Aerospace Engineer II to support AI research initiatives as an aerospace domain expert. This role will bridge traditional aerospace engineering and artificial intelligence by helping develop, validate, and evaluate AI tools for aerospace systems, flight dynamics, structural analysis, and engineering simulations.

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 specific engineering tasks, edge cases, and evaluation metrics (validators) that AI models need to master.
• Provide Domain Expertise: Apply generalist knowledge across aerodynamics, propulsion, orbital mechanics, and avionics (GNC) to assess model performance.
• Collaborate Cross-Functionally: Partner with AI researchers and cross-functional stakeholders to translate complex aerospace constraints into clear, actionable feedback.
• Ensure Compliance: Ensure evaluated deliverables and AI-generated outputs follow applicable aerospace engineering standards, safety requirements, and documented processes.

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).

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.