Systems Support Engineer 1
Illumina
Systems Support Engineer 1
Illumina
Develops sequencing platforms and consumables
Position Summary:
As a Systems Support Engineer, you will work in a dynamic, team-oriented environment and help improve genomic analysis tools used in cutting edge research. Working within Illumina’s Systems Engineering and Integration team, you will be responsible for investigating and resolving system-level platform issues and supporting system verification and validation activities for planned platform changes.
Responsibilities:
Required Qualifications & Education:
Preferred Skills & Experience:
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The estimated base salary range for the Systems Support Engineer 1 role based in the United States of America is: $74,900 - $112,300. Should the level or location of the role change during the hiring process, the applicable base pay range may be updated accordingly. The range reflects long‑term growth in the role; therefore, most candidates are hired between the minimum and middle of the range. Placement depends on experience, skills, location, and internal equity. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a wide range of benefits as innovative as our work, including access to genomics sequencing, family planning, health/dental/vision, retirement benefits, and paid time off.Illumina develops and sells integrated sequencing systems and the consumables needed to analyze genetic variation and biological function. Its instruments use sequencing-by-synthesis on flow-cell-based platforms, with specialized reagents and library preparation kits that are consumed per run. The company differentiates itself through a broad end-to-end ecosystem, a large installed base that drives repeat purchases, and strategic acquisitions that expand capabilities into multiomics and clinical applications. Its goal is to advance genomic analysis for research and clinical diagnostics to enable personalized medicine and early cancer detection.
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