Silicon Engineer, PhD, University Graduate, 2027 Start

What you'll do

• Collaborate across hardware and software teams on custom silicon and AI accelerator research, design, and modeling.
• Develop, simulate, and verify architectural features, digital blocks, or subsystem interfaces, optimizing performance, power, and area.
• Contribute to EDA flows and tools, or post-silicon bring-up and characterization.

What they ask for

• PhD in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• Experience in a silicon engineering domain through internships, academic research, or publications.
• Experience with a hardware description language such as Verilog or SystemVerilog, or programming such as Python, Tcl, Perl, or C++.

Nice to have

• Research experience in specialized hardware areas, CAD/EDA flows, ML for chip design automation, or AI accelerator evaluation.
• Familiarity with industry-standard EDA tools and a demonstrated research track record, including conference publications.

Pay

$138000 - $197000 (USD) base salary

Tools

TPU, Verilog, SystemVerilog, Python, Tcl, Perl, C++, CXL

AI focus

Develop and verify silicon for AI/ML acceleration, including TPUs; preferred work includes applying ML to chip design automation and evaluating AI accelerators.