Electrical Design Verification Engineer
On-site · Bellevue, Washington, United States
Job Summary
Electrical Design Verification Engineer position based in Bellevue, WA (onsite in Redmond, WA). You will join the HW engineering team to develop, prototype, and build test systems, and analyze and present results. Responsibilities include designing and executing EE validation and performance characterization of test systems across program lifecycles; aligning validation plans with test team leads and stakeholders; providing root-cause and corrective-action support; tracking validation progress, presenting data, drafting whitepapers, and representing status at design reviews; maintaining/updating existing systems (software, firmware, mechanics) to improve quality and reliability; collaborating with cross-functional teams (mechanical, FW, and research) to solve multi-discipline problems. Preferred qualifications include a Master’s degree and experience with ML, cloud platforms (AWS/Azure), and VR/AR-related hardware. Education requirement is a Bachelor's in Electrical Engineering or related field; Master's preferred.
Required Qualifications
- Bachelor's degree in Electrical Engineering, Physics or a related field
- 4+ years of experience in Electrical engineering, preferably in a hardware testing environment
- Strong programming skills in Python, R, or SQL
- Experience with Matlab or similar
- Experience with data visualization tools such as JMP, Tableau, Reliasoft, Power BI, or D3.js
- Experience with setup and execution of automated or manual testing systems including experience in conceptualizing the experiments or DOE
- Strong electrical engineering fundamentals
- Excellent analytical and problem-solving skills
- Strong communication and collaboration skills
- Experience troubleshooting designs and the instrumentation impact on measurement
- Experience with Cadence Orcad, Altium or equivalent
- Experience with oscilloscopes, high speed digital test equipment, logic analyzers, spectrum analyzers and function generators
- Knowledge of statistical modeling techniques, including regression, hypothesis testing, and confidence intervals
- Develop and apply statistical models using techniques such as regression, hypothesis testing, and confidence intervals
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