Research Intern - Loop Engineering

SK hynix memory solutions America Inc. • San Jose, CA

1d • $35 - $45 • Onsite

About The Position

We are hiring a research intern in loop engineering: best practices for closed-loop flows that automate, optimize, and explore SoC designs. These are AI-assisted hardware/software co-design flows. CHIA, from UC Berkeley, is one example of a framework you may use.
You will own a scoped research question with a full-time researcher: build or extend the loop, run the experiments, and write up what the results mean for design automation.

Requirements

• Progress toward a bachelor’s, master’s, or Ph.D. in electrical engineering, computer engineering, computer science, or a related field.
• Coursework or project experience in loop engineering, computer architecture, digital design, VLSI, or electronic design automation.
• Fluency in Python, and comfort reading and changing an existing codebase.
• Ability to pose a small research question, keep a record of what changed, and explain the result.

Nice To Haves

• Exposure to RTL (Verilog, SystemVerilog, Chisel, or XLS) or to an SoC design framework.
• Experience with an architecture simulator or with RTL simulation.
• Familiarity with an AI-assisted hardware/software co-design loop framework, such as CHIA, or with scripted hardware design, verification, or design-space exploration flows.

Responsibilities

• Study how a design loop should be structured: which steps belong in it, what feedback each step returns, and how search, verification, and physical-design results drive the next iteration.
• Implement the loop with languages and tools such as Chisel and XLS, together with simulation, software build, and physical-design tools.
• Apply it to an SoC problem such as microarchitectural exploration, RTL implementation and verification, or power, performance, and area optimization.
• Compare loop designs on the quality of the design point, the cost of the search, reproducibility, reuse, and how reliably a failure is diagnosed.
• Make the loop reliable enough to rerun: clear interfaces between steps, cached results, regression checks, and reports that support a conclusion.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed