Principal Engineer – RV (EM/IR)

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 8+ years of Hardware Engineering or related work experience.

OR

Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 7+ years of Hardware Engineering or related work experience.

OR

PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience.

We are looking for an experienced Principal Engineer – RV (EM/IR) to lead power integrity and reliability signoff activities for advanced-node SoC designs. In this role, you will drive IR drop and electromigration (EM) analysis, define signoff methodologies, and collaborate with cross-functional teams to achieve robust and reliable silicon implementation. The ideal candidate should possess deep expertise in power integrity analysis, a strong understanding of advanced-node challenges, and proven experience in leading signoff closure for complex chip designs.

What You’ll Do

• Lead full-chip and block-level IR drop and electromigration (EM) analysis for advanced-node SoC designs

• Drive power integrity signoff closure by identifying, debugging, and resolving IR/EM violations

• Collaborate with Physical Design, Power, Package, and Foundry teams to optimize power delivery networks