The Staff Test Platform Engineer will be responsible for conceiving, developing, and implementing complex test systems utilized across the product lifecycle. These test systems are key to characterizing Illumina’s aggressive product innovations during their development and enable high yield, quality, and reliability in production. Test systems cover both instrument and consumables and span optical, fluidic, precision motion, thermal, and electronic sub-systems.
This role requires development and execution of a long term Test Platform Strategy to enable leverage of test infrastructure investment across the product portfolio and over time with our product roadmap.
The role involves hands-on design, integration, and debugging of test systems, therefore a qualified candidate must have strong multi-disciplinary engineering capability and the passion and ability to climb learning curves when new challenges present themselves.
Role requires clear communication and alignment with broad stakeholders. Test Platform documentation deliverables will include Design Requirements, Error Models, Design Files, Risk Assessments, Test Plans, Test Reports.
Required Skills & Experience:
Typically requires or equivalent work experience: BSc/MS: 8+ years of experience, PhD: 3+ years of experience (Mechanical, Physics, Biomedical, Bio Instrumentation)
Hands on experience in designing principles of optics, mechanical, heat transfer, precision motion, and electronics.
Experience with design and development of complex test systems, including measurement error budgeting, sensor selection, overall system architecture definition, and detailed design.
Mechanical engineer design work experience with SolidWorks, modeling and budgets
Ability to write basic scripts for instrument integration and data analysis in tools such as Matlab, Python, etc.
Demonstrated track record of rapidly climbing steep learning curves. Enthusiasm for tackling tough problems on aggressive schedules.
Strong teamwork, communication and presentation skills (ability to distill complex technical information into actionable technical recommendations)
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