Job 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.

GPU Power Engineer

Location: Noida

As a GPU RTL Power Engineer, you will contribute to power optimization efforts for GPU blocks and subsystems, delivering industry-leading energy efficiency for Qualcomm next-generation GPUs used in premium smartphones and adjacent market segments-Automotive / Compute / XR / AI. In this highly impactful role, you will be responsible for Power Efficiency / Performance per watt analysis for the GPU on industry standard Benchmarks/Games from early feature specification stages to Silicon. You will partner closely with hardware, software, and system-level design teams to support architectural, microarchitectural, and RTL-level power optimization strategies.

Minimum Qualifications

- 8-12 years of experience with a Bachelor's degree in Computer Science/Computer Engineering/relevant technical field, or a Master's degree.
- Understanding of RTL power optimization fundamentals, including switching activity,



clock/enable efficiency, and common lowpower 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 placeandroute, and how RTL decisions impact postlayout power and timing.
- Hands-on experience of debugging RTL or gatelevel power anomalies and identifying rootcause structures or scenarios.
- Strong Python programming skills for building automation scripts, data pipelines, and AI/MLdriven 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 rapid-paced, global team environment.

Preferred Qualifications

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

Key Skills

- RTL power optimization fundamentals
- PowerArtist
- PTPX
- PowerPro
- clock gating
- power gating
- backend flows such as logic synthesis and placeandroute
- debugging RTL or gatelevel power anomalies
- Python programming for automation scripts, data pipelines, and AI/MLdriven analysis flows for RTL power optimization

📌 Staff engineer- GPU Power Engineer (Noida)
🏢 Qualcomm
📍 Noida