SoC Microarchitecture Design Engineer

Intel Corporation

Santa Clara (CA)

On-site

USD 106,000 - 173,000

Full time

2 days ago
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Benefits offered by this job

Stock bonuses
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Vacation

Job summary

Intel Corporation is seeking a College Grad to join its AI SoC organization. You will design and simulate logic for cutting-edge SoCs, implement architecture features, and ensure design integrity through verification and optimization.

Participation spans RTL coding, IP integration, and collaboration with cross-functional teams. The role emphasizes secure design practices, performance-aware RTL optimization, and ongoing learning in a fast-paced, global AI hardware environment.

Qualifications

  • Bachelor's or higher in Electrical/Computer Engineering with hands-on RTL design, internship or project experience.
  • Proficiency in Verilog or VHDL RTL coding.
  • Familiarity with synthesis, timing analysis, and power optimization.
  • Knowledge of SoC and IP integration principles.

Responsibilities

  • Develop logic design, RTL coding, and simulation for SoC designs.
  • Define and implement architecture and microarchitecture features for logic blocks.
  • Perform quality checks across RTL, timing, power, and design integrity.
  • Optimize RTL for power, performance, area, and timing targets.
  • Collaborate with IP providers to integrate and validate IPs at the SoC level.
  • Review and contribute to verification plans and ensure features are tested.
  • Identify and resolve RTL test failures to ensure feature correctness.
  • Apply secure development practices addressing design security objectives.
  • Drive QA compliance for IP and SoC handoff across the design flow.

Skills

RTL design
Verilog
VHDL
logic design
debugging

Education

Bachelor's degree in Electrical Engineering or Computer Engineering
Master's degree in Electrical/Computer Engineering (optional)

Job description

Intel Corporation is seeking a College Grad to join its AI SoC organization. You will design and simulate logic for cutting-edge SoCs, implement architecture features, and ensure design integrity through verification and optimization.

Participation spans RTL coding, IP integration, and collaboration with cross-functional teams. The role emphasizes secure design practices, performance-aware RTL optimization, and ongoing learning in a fast-paced, global AI hardware environment.

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