As a Qualcomm GPU Engineer, you will be part of a leading technology innovator focused on pushing the boundaries of GPU design and performance. You will collaborate with cross-functional teams to analyze and optimize GPU cores, ensuring they meet customer needs. The role involves pre-silicon performance analysis, benchmarking, and implementing data analytics using Python. Your contributions will help drive the development of next-generation experiences in a smarter, connected future.

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 6+ years of relevant experience, or a Master's degree with 5+ years, or a PhD with 4+ years.
• Experience with GPU architectures and pipeline analysis.
• Proficiency in System Verilog, Python, and C/C++.

• Conduct pre-silicon performance analysis and closure on state-of-the-art GPU designs.
• Collaborate with design, architecture, and modeling teams to analyze GPU pipeline bottlenecks.
• Implement data analytics and visualization using Python.
• Perform HW-SW co-verification, simulation, and emulation.
• Contribute to pre-silicon execution with benchmark functional coverage.

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