Intel Corporation

Neuromorphic Silicon Design Engineer

Intel Corporation

full-time

Posted on:

Location Type: Hybrid

Location: HillsboroArizonaCaliforniaUnited States

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Salary

💰 $164,470 - $269,100 per year

Job Level

About the role

  • Model, prototype, and document new features for improving product KPIs and expanding workload breadth. Evaluate tradeoffs in partnership with architects and algorithms researchers.
  • Evaluate, select, and integrate vendor IP especially for chip/chiplet interfaces.
  • Enter RTL and asynchronous design (CSP/CAST) optimized for synthesis and place-and-route closure.
  • Work with system software developers and architects to define runtime, boot, reset, and power management modes and requirements.
  • Review test plans and work with verification engineers to debug regression/test failures.
  • Work with physical design engineers on floorplans, timing constraints, and post-layout timing issues.

Requirements

  • Bachelors & 9+ years or Masters & 6+ years or PhD & 4+ years with an engineering degree and hands-on design experience.
  • 4+ years of experience in SoC accelerator or ASICs design.
  • 4+ years of experience entering new designs from architecture specifications.
  • History of enabling production quality silicon.
  • Experienced in neuromorphic computing and AI/ML accelerator design.
  • Experience with standard IO interfaces, PHYs, and protocols such as Ethernet, PCIE, MACsec/IPsec, RoCEv2, MIPI CSI-2, JESD204.
  • Experience with Low power/UPF implementation/verification techniques.
  • Experience with pre-silicon customer enablement on FPGA emulation platforms.
  • Experience with security design and requirements, such as Root of Trust (RoT), secure boot, cryptographic acceleration, and FIPS.
  • Experience leading silicon design/verification teams.
Benefits
  • health
  • retirement
  • vacation
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
RTL designasynchronous designCSPCASTSoC designASIC designneuromorphic computingAI/ML accelerator designLow power implementationFPGA emulation
Soft Skills
collaborationdebuggingleadership
Certifications
engineering degree