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Staff engineer- GPU Power Engineer

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Qualcomm is seeking a Staff Engineer specializing in GPU Power Engineering in Noida, India. This role involves contributing to power optimization for next-generation GPUs across various market segments like automotive, compute, XR, and AI, focusing on performance per watt analysis and collaborating with cross-functional teams on architectural and RTL-level strategies. The position requires extensive experience in RTL power optimization fundamentals, analysis tools, low-power design techniques, and Python scripting.

Ansvarsområden

  • Contribute to power optimization efforts for GPU blocks and subsystems.
  • Deliver industry-leading energy efficiency for Qualcomm next-generation GPUs.
  • Perform Power Efficiency / Performance per watt analysis for the GPU on industry standard Benchmarks/Games from early feature specification stages to Silicon.
  • Partner closely with hardware, software, and system-level design teams to support architectural, microarchitectural, and RTL-level power optimization strategies.
  • Debug RTL or gate-level power anomalies and identify root-cause structures or scenarios.
  • Build automation scripts, data pipelines, and AI/ML-driven analysis flows for RTL power optimization using Python.

Krav

  • 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 and 8+ years of experience.
  • Understanding of RTL power optimization fundamentals, including switching activity, clock/enable efficiency, and common low-power design patterns at the RTL level.
  • Familiarity with RTL power analysis and optimization using tools such as PowerArtist, PTPX, PowerPro or equivalent.
  • Familiarity with low-power design techniques, including clock gating, power gating, and managing dynamic vs. leakage power tradeoffs.
  • Knowledge of Emulation Power flow and methodology.
  • Knowledge of backend flows such as logic synthesis and place‑and‑route, and how RTL decisions impact post‑layout power and timing.
  • Hands-on experience of debugging RTL or gate‑level power anomalies and identifying root‑cause structures or scenarios.
  • Strong Python programming skills for building automation scripts, data pipelines, and AI/ML‑driven analysis flows for RTL power optimization.
  • Excellent debugging, analytical, and problem-solving skills using data-driven approach.
  • Excellent written and verbal communication skills for documenting designs, methodologies, and best practices.
  • Excellent collaboration skills, with the ability to navigate ambiguity in a fast-paced, global team environment.

Önskade kvalifikationer

  • Knowledge of Graphics architecture
  • Knowledge of OpenGL and(or) Vulkan API libraries

Förmåner

  • Qualcomm is an equal opportunity employer.
  • Qualcomm is committed to providing an accessible process for individuals with disabilities.
  • Qualcomm is committed to making our workplace accessible for individuals with disabilities.
#GPU#Power Engineer#Hardware Engineering#RTL#Power Optimization#Noida
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Företag

Qualcomm

Publicerade jobb

för 3 dagar sedan

Anställningstyp

Heltid

Arbetsform

På plats

Erfarenhetsnivå

Senior

Platser

Noida, India

Kvalifikation

Kandidatexamen, Masterexamen, Doktorand

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