Provide Domain Expertise: Operate comfortably across a wide range of electrical engineering sub-disciplines, applying generalist knowledge in circuit design, power systems, signal processing, and embedded systems to assess model performance. 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.
Numbers & Facts
Location
Seattle, WA
Description
Our client, a Internet Content & Information company, is looking for a Electrical Engineer II for their Seattle, WA/ New York, NY location.
Responsibilities:
Validate AI Workflows: Evaluate the feasibility, safety, and practical utility of AI-generated circuit designs, schematics, PCB layouts, and electrical 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 electrical engineering sub-disciplines, applying generalist knowledge in circuit design, power systems, signal processing, and embedded systems to assess model performance.
Collaborate Cross-Functionally: Partner directly with AI researchers and cross-functional stakeholders to translate complex electrical 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.
Requirements:
Power-user proficiency with industry-standard EDA and simulation tools (e.g., Altium Designer, Cadence Allegro, KiCad, LTspice, MATLAB/Simulink, or Ansys HFSS).
Broad foundational knowledge across electrical sub-fields (circuit design, power systems, signal processing, embedded systems).
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).
3-5+ years of practical, post-graduation electrical engineering experience.
Bachelor's degree in Electrical Engineering or related engineering field, or equivalent practical experience.