The role at Qualcomm Technologies, Inc. focuses on analyzing and optimizing GPU architecture and workloads for performance and power efficiency. The engineer will work closely with various teams, including RTL designers and silicon implementation teams, to develop and maintain tests for power verification. Candidates should have a strong background in low-power ASIC optimization and experience with advanced CPU/GPU architecture. This position offers an opportunity to contribute to cutting-edge technology in a collaborative environment.

• Bachelor's degree or equivalent in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
• 5+ years of experience with low-power ASIC optimization.
• Experience with scripting in Python or Perl.

• Analyze and evaluate GPU architecture and workload for performance and power optimizations.
• Perform GPU power modeling and estimation for projection and correlation.
• Conduct GPU workload analysis, profiling, and characterizations.
• Develop and maintain tests for pre-silicon and post-silicon power verifications.
• Collaborate with multiple teams including RTL designers, architecture, design verification, and silicon implementation.

• Qualcomm offers competitive compensation, annual bonuses, stock programs, comprehensive healthcare coverage, retirement plans, wellness programs, parental leave, flexible work options, and professional development opportunities.