Company: Qualcomm India Private Limited
Job Area: Engineering Group, Hardware Engineering
Job SummaryAs 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.
We are looking for a talented engineer to join our team and drive power-vector development, execution, analysis, and window extraction across simulation, emulation, and silicon-validation environments.
This role is ideal for someone passionate about Design Verification, low-power design, power analysis, waveform debugging, and cross-functional execution.
Minimum Qualifications - Bachelors or Masters degree in Electrical Engineering, Electronics, Computer Engineering, or a related field.
- 7-15 years of experience in Design Verification, power-aware verification, vector development, or power analysis.
- Strong understanding of: RTL simulation and waveform analysisSystemVerilog/UVM or equivalent verification environmentsLow-power concepts, power states, clock gating, retention, and isolationSimulation, emulation, GLS, or silicon-validation flowsPower estimation and activity analysis
- Proficiency with scripting languages such as Python, Perl, Shell, or Tcl.
- Experience using waveform-debug and power-analysis tools.
- Ability to identify representative, peak, and corner-case power windows.
- Strong debugging, analytical, documentation, and communication skills.
- Experience working across multiple engineering teams in a fast-paced environment.
Good to Have - Experience with UPF and power-intent verification.
- Knowledge of CPU, SoC, memory, interconnect, or subsystem power behavior.
- Experience with dynamic voltage drop, IR-drop, VMIN, or thermal analysis.
- Familiarity with emulation platforms and large-scale workload execution.
- Experience correlating pre-silicon power results with post-silicon measurements.
- Understanding of frequency-voltage operating points and power-performance tradeoffs.
