GPU Hardware Engineer Lead @ Intel

The ideal candidate will act as a technical lead for a small team that manages the following 2 functions:

1.    System Integration Function:

• Working with other specialists that are members of the IP Design, IP Design Verification, System Verification, DFT, STA, and Physical Design teams to implement designs/flows for sophisticated GPU IP.
• As a GPU IP Integration Engineer, you will have responsibilities to integrate various 3D/Compute, Clocks and Reset, Memory Fabric, DFX and Power management building blocks to construct the GPU IPs and ensure the design meets Functional, DFX , CDC, Timing and Power requirements.

2.    GPU Verification Function:

• Integration of IP subsystems to build complete GPU/Compute pipeline.
• Construction of multiple SKUs of GPU sub-system by integration of 3D/Compute pipeline, memory fabric, clock, rest and power management logic through automated flows and upgrading the flows continuously to ensure high efficiency, scalability and performance.
• Architecting and building Sub-system/System level scalable Testbench environments in System Verilog.
• Functional bring-up and debug of GPU/Compute pipeline.
• Deliver GPU IP to internal customers hardware (functional, performance, power), software, and SoC teams and facilitate the integration of the IP in the customers environment/flows.

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:

Masters degree in Electrical Engineering, Computer Engineering, Computer Science, or related STEM degree with 4 years’ experience OR Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related STEM degree with 6+ years’ experience. Years of experience must include technical leadership experience and at least one of following:

• Logic Design, Architecture.
• System Verilog.
• Physical Design.

Preferred Qualifications:

• Scripting (Python, TCL, PERL, BASH).
• Revision control (git or perforce).
• Experience designing/integrating/verifying GPU-CPU sub-systems.
• Experience designing/integrating/verifying high speed interconnects, power management schemes, high performance sub-systems.
• Experience in using industry standard tools (simulators, (VCS/Xcelium) and waveform debug tools (Verdi/DVE), implementation: Design Compiler, Primetime, Spyglass).

The ideal candidate will have the following skills in addition to the qualifications listed above.

• Thoughtful and perceptive analytical skills.
• A genuine curiosity for understanding the system.
• Be dedicated and committed to creative problem solving and getting things done.
• Work well in a team environment.
• Strong verbal and written communication skill.