CPU Power Modeling & Characterization Engineer (Staff/Senior Staff)

Qualcomm; Bengaluru; On-site; INR 2,800,000 - 4,400,000; Full time

Job summary

Qualcomm India Private Limited seeks a Hardware Engineer to design, verify, and test high-performance CPU power models and DPM frameworks across pre-silicon and post-silicon phases.

The role emphasizes DPM/EMON-based power modeling, event-to-energy correlation, and power-performance tradeoffs, collaborating with cross-functional teams.

Qualifications

• Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.
• OR
• Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience.
• OR
• PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.

Responsibilities

• Develop CPU power models based on architectural micro-events, PMU/EMON counters, and DPM frameworks.
• Build unconstrained vs HW-limited CPU power models, incorporating Limiters, DVFS, temperature and throttling behavior.
• Model dynamic power, leakage, and rail-specific behavior.
• Drive DPM weight characterization using simulation, emulation, and silicon data across representative workloads.
• Correlate CPU event counts vs measured silicon power, debug gaps.
• Enhance DPM coverage by adding new CPU events and diags.

Skills

CPU power modeling

DPM/EMON/PMU-based power modeling

Python/Perl

CPU micro-architecture

Power modeling validation

Education

Bachelor's degree in Computer Science or Electrical/Electronics Engineering

Master's degree in Computer Science or Electrical/Electronics Engineering

PhD in relevant field (optional)

Tools

Python

Perl

Job description

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Hardware Engineering

General Summary:

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 4+ years of Hardware Engineering or related work experience.
• OR
• Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience.
• OR
• PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.

Looking for a CPU Power Modeling Engineer to work on high‑performance, low‑power CPU clusters (CPUSS / NCC) across pre‑silicon and post‑silicon phases.

The role focuses on DPM/EMON‑based power modeling, event‑to‑energy correlation, and power‑performance tradeoff analysis.

Key Responsibilities

• Develop CPU power models based on architectural micro‑events, PMU/EMON counters, and DPM frameworks
• Build unconstrained vs HW‑limited CPU power models, incorporating Limiters, DVFS, temperature and throttling behavior.
• Model dynamic power, leakage, and rail‑specific behavior.

DPM Weight Characterization

• Drive DPM weight characterization using simulation, emulation, and silicon data across representative workloads.
• Correlate CPU event counts vs measured silicon power, debug gaps.
• Enhance DPM coverage by adding new CPU events and diags.

Required Skills

• Minimum 8 years of relevent experience is must
• Strong understanding of CPU micro‑architecture.
• Hands‑on experience with DPM / EMON / PMU‑based power modeling.
• Experience with pre‑silicon and post‑silicon power correlation.
• Proficiency in Python/Perl and data analysis.

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