Opportunity Description
Job Description
This individual's day-to-day work centers around designing, reviewing, and refining detailed markdown-based specifications that define how the edge device software should behave in a large‑scale data center environment. They will break those specifications into tasks, architecture components, and test plans, then use AI-assisted tools to generate initial code, ensuring they fully understand, validate, and correct the AI’s output before submitting final implementations. A significant part of the role involves working with high‑rate telemetry data pipelines—supporting thousands of devices sending frequent data—and ensuring reliable, low‑latency processing for both monitoring and 60 Hz control-level interactions with physical equipment. They will collaborate closely with other engineers across Santa Clara and remote teams to align frameworks, caching strategies, system behaviors, and integration points. Daily responsibilities include conducting thorough code reviews, tr...
This individual's day-to-day work centers around designing, reviewing, and refining detailed markdown-based specifications that define how the edge device software should behave in a large‑scale data center environment. They will break those specifications into tasks, architecture components, and test plans, then use AI-assisted tools to generate initial code, ensuring they fully understand, validate, and correct the AI’s output before submitting final implementations. A significant part of the role involves working with high‑rate telemetry data pipelines—supporting thousands of devices sending frequent data—and ensuring reliable, low‑latency processing for both monitoring and 60 Hz control-level interactions with physical equipment. They will collaborate closely with other engineers across Santa Clara and remote teams to align frameworks, caching strategies, system behaviors, and integration points. Daily responsibilities include conducting thorough code reviews, tr...
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