GPU Design Verification Engineer

Qualcomm Technologies, Inc. is seeking a skilled engineer to join its GPU ASICS Engineering team. The role involves architecting, designing, implementing, verifying, and optimizing GPU cores, with a focus on performance and power efficiency. The engineer will be responsible for verification of Graphics IP and conducting pre- and post-silicon verification to ensure compliance with performance and power goals.

Responsibilities:

• Architect, design, implement, and verify GPU hardware, drivers, features, applications, and tools.
• Create and maintain verification test benches and environments using System Verilog/UVM.
• Develop advanced testing frameworks to simulate real-world system integration conditions.
• Collaborate with cross-functional teams to define and develop test methodologies and content.
• Participate in GPU architecture and micro-architecture reviews.
• Collect and execute various forms of system-level test content, including benchmarks and compliance tests.
• Automate continuous integration and testing processes for the latest GPU IP.
• Analyze test results using statistics to track benchmarks and identify issues.
• Align with team members on feature development and meet project targets.
• Document technical specifications and feature descriptions under supervision.

Qualifications:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field with 4+ years of relevant experience; or a Master's degree with 3+ years; or a PhD with 2+ years.
• Experience in Software Engineering, Hardware Engineering, or Systems Engineering.

Skills:

• 5+ years of experience in Hardware Engineering, Software Engineering, or Systems Engineering preferred.
• Proficiency in verification skills including test planning, scripting, simulation, and debugging.
• Knowledge of System Verilog, UVM, Verilog or VHDL, and C/C++.
• Experience with constrained random and functional coverage development.
• Familiarity with emulation/prototyping platforms (e.g., Veloce, Palladium, Zebu, FPGA).
• Experience in GPU-based verification and system/sub-system level verification.
• Scripting and automation skills (Python, Make, Airflow, etc.).
• Understanding of Windows and/or Linux OS Kernel Architecture.
• Experience with formal verification techniques (FPV and DPV) is a plus.