Lead Senior Design Engineer – AI SoC Development
Folsom, CA, United States • Posted June 15, 2026
Job Type:
Full-time
Location:
Folsom, CA
Posted:
June 15, 2026
Category:
other-general
Application Deadline:
June 22, 2026
Role Description
**Job Details:**
**Job Description:**
**Intel’s AI SoC organization develops cutting-edge products powering a wide range of AI applications—from edge devices to data center accelerators. If you are an engineer with strong technical and communication skills who thrives in a fast-paced environment with abundant learning opportunities, this is your chance to shape the future of AI hardware.**
**Role Overview**
**As a** **Lead Senior Design Engineer – AI SoC Development** **, you will be responsible for defining, implementing, and validating complex SoC IP blocks and subsystems, ensuring they meet stringent power, performance, and security requirements. You will collaborate across architecture, verification, and physical design teams to deliver high-quality silicon for next-generation AI solutions.**
**Key Responsibilities**
**Architectural Leadership: Evaluate trade-offs across features, performance targets, power constraints, and ...
**Job Description:**
**Intel’s AI SoC organization develops cutting-edge products powering a wide range of AI applications—from edge devices to data center accelerators. If you are an engineer with strong technical and communication skills who thrives in a fast-paced environment with abundant learning opportunities, this is your chance to shape the future of AI hardware.**
**Role Overview**
**As a** **Lead Senior Design Engineer – AI SoC Development** **, you will be responsible for defining, implementing, and validating complex SoC IP blocks and subsystems, ensuring they meet stringent power, performance, and security requirements. You will collaborate across architecture, verification, and physical design teams to deliver high-quality silicon for next-generation AI solutions.**
**Key Responsibilities**
**Architectural Leadership: Evaluate trade-offs across features, performance targets, power constraints, and ...
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