GPU Implementation Engineer (Austin & San Diego)

Stack

Responsibilities

• ▹Technology exploration
• ▹Power analysis and estimation
• ▹Analyzing performance and power on specific use cases
• ▹RTL and synthesis-based power optimization
• ▹Thermal analysis and optimization
• ▹Performance, power and area modeling and optimization
• ▹SoC design implementation and methodology
• ▹Semi-custom design flow and methodology development

Requirements

• ▹Bachelor's degree in Science, Engineering or related field
• ▹Strong understanding of ASIC design methodology on the latest process technology
• ▹Willingness to learn and solve challenging problems
• ▹4+ years of software, hardware or systems engineering experience (or Master's + 3 years, or PhD + 2 years)

Nice to have

• ▹Master's or PhD in Computer Engineering, Computer Science, Electrical Engineering or related field
• ▹4+ years of relevant GPU experience
• ▹2+ years of experience working with senior leadership (Director level and above)
• ▹Knowledge of performance and power modeling
• ▹Familiarity with power analysis flows (e.g., Power Artist, PrimeTimePX)
• ▹Knowledge of power minimization techniques (clock gating, power gating, multi-VT design)
• ▹Experience with power intent design and verification (isolation, level shifters, retention)
• ▹Familiarity with System Verilog RTL and simulation
• ▹Familiarity with scripting on Linux, TCL and Perl/Python
• ▹Familiarity with synthesis, static timing analysis and formal verification
• ▹Detail-oriented with strong organizational, problem-solving and communication skills

Soft skills

What we offer

• ▹Annual discretionary bonus program
• ▹Opportunity for annual RSU grants
• ▹Competitive benefits package

About the company

Qualcomm is a technology innovator whose Adreno GPU team designs, implements and optimizes GPU cores for next-generation experiences, collaborating across functional teams to meet customer needs.