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Normal Computing
Normal Computing
51 – 200 Employees
The available profile information identifies Normal Computing as a company founded in 2022, but does not describe its products, services, industry, or hiring context. More company-specific details are needed to provide a useful overview for job seekers.
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Head of Silicon Product Engineering

Lead packaging, testing, validation, yield, and manufacturing for Normal Computing’s custom AI inference silicon. Build the team and processes needed to bring memory products into high-volume production.

USUnited StatesCACaliforniaHybridFull-timeLeadEnglish RequiredFull-stack EngineerSoftware Engineer

Description

  • Lead post-silicon bring-up, characterization, validation, and debugging across multiple silicon generations.
  • Set packaging and test strategy, including ATE program development, test coverage, and test-condition optimization.
  • Select, qualify, and manage OSAT and test-house partners from NPI through high-volume manufacturing.
  • Drive yield learning and qualification from early silicon through production ramp.
  • Own production calibration and screening methods for memory products.
  • Build and lead the silicon product engineering organization, including hiring, processes, and tools.
  • Work with design, architecture, and supply chain teams to improve producibility, testability, cost, and yield.
  • Develop data-analysis practices using wafer acceptance, sort, package, and system-level test data.

Requirements

  • Bring 15 or more years of semiconductor product or test engineering experience, with direct ownership of silicon from NPI through high-volume manufacturing.
  • Demonstrated experience selecting and managing OSAT and foundry partners, including negotiating cost, quality, and yield.
  • Hands-on expertise in packaging, ATE, and post-silicon bring-up and validation.
  • Experience with production testing and screening methods for complex, high-reliability products.
  • A record of building and scaling engineering teams at an early-stage company.
  • Ability to work across design, architecture, and supply chain organizations.
  • Bachelor’s or master’s degree in electrical engineering or a related field.
  • Bonus: experience bringing up test and qualification for a new or unconventional silicon architecture.
  • Bonus: experience in memory-adjacent product engineering, such as DRAM, HBM, or custom memory modules.
  • Bonus: experience at an AI or high-performance computing startup.
  • Bonus: comfort developing test methods alongside the hardware.

Benefits

  • Inclusive and diverse work environment.
  • Reasonable accommodations for people with disabilities.

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