GPU Design Integration Engineer
QualcommJob Title
GPU Design Integration Engineer
Role Summary
Join the GPU ASICs engineering team to design and integrate GPU IP into system-on-chip (SoC) products. The role focuses on architecture and micro-architecture of integration-related IP, RTL design and synthesis, logic and timing verification, and assembling complex IP blocks into a complete GPU.
Experience Level
Mid-level. Typically requires 5+ years of ASIC design, verification, or related experience; see Education Requirements for degree-specific minimums.
Responsibilities
The engineer will own integration tasks across the GPU IP stack and coordinate with cross-functional teams.
- Define architecture and micro-architecture for integration-related IP and interfaces.
- Develop and qualify RTL (SystemVerilog) and implement frontend checks (Lint, CDC).
- Perform logic design, RTL coding, and synthesis flow support.
- Implement functional ECOs and support timing closure activities.
- Verify multi-clock domain designs and ensure correct clocking/reset/debug architecture.
- Integrate IP blocks into SoC-level GPU designs and validate interfaces (AMBA/AXI/AHB/APB where applicable).
- Collaborate with software, power, and other design teams; communicate status and coordinate critical tasks.
Requirements
Must-have technical experience and skills. Preferred items listed separately.
- 5+ years of ASIC design, verification, or related engineering experience.
- RTL expertise in SystemVerilog and experience qualifying RTL with Lint and CDC tools.
- Strong logic design, micro-architecture, and RTL coding skills.
- Practical understanding of synthesis flows and timing concepts for ASICs.
- Experience with multi-clock domain design and functional ECO implementation.
- Ability to self-direct, manage multiple tasks, and work in a fast-paced team environment.
- Strong leadership and communication skills for coordinating cross-team activities.
Preferred:
- Familiarity with AMBA protocols (AXI, AHB, APB) and clocking/reset/debug architectures.
- Experience scripting in Python for automation.
- GPU or multimedia IP development experience.
- Familiarity with low-power design techniques.
Education Requirements
Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field (posting also notes broader "Science, Engineering, or related field"). Minimum Qualifications listed by degree: Bachelor's +6 years relevant experience, Master's +5 years, or PhD +4 years.
About the Company
Company: Qualcomm
Headquarters: San Diego, California, United States
Qualcomm is a global leader in semiconductor and telecommunications equipment, specializing in mobile technologies and innovations. Known for its Adreno GPUs, the company provides solutions enabling advancements in mobile gaming, AI, VR/AR, and autonomous driving. Qualcomm's cutting-edge technology and commitment to high-performance, power-efficient designs drive the evolution of mobile graphics and connectivity worldwide.
