layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

AI Research Scientist, Hardware AI Systems at AMD | LAYIQ

Responsibilities

THE ROLE:

We are hiring a AI Research Scientist, Hardware AI Systems

, to develop AI systems that generalize across hardware engineering contexts, different SoC programs, toolchains, process nodes, and teams, without bespoke retraining for every program.

You will work on metareasoning (when to call which tool or simulator), representation learning across flows (RTL, verification, physical design), and learning under high- or mixed-latency rewards typical of silicon signoff. You partner with methodology and silicon teams to turn one-off wins into reusable models, benchmarks, and transfer protocols that compound across AMD’s roadmap.

THE PERSON:

You think in distribution shift, domain adaptation, and structured priors—not only bigger models. You respect domain experts and treat their time and signoff criteria as first-class constraints in problem formulation.

KEY RESPONSIBILITIES:

Research transfer and multi-task learning for engineering agents across IP blocks, tools, and program generations
Develop metareasoning policies for budgeting expensive EDA steps, selecting abstractions, and recovering from tool or data failures
Build cross-program benchmarks and datasets that expose generalization gaps and track progress over time
Collaborate with RL scientists on reward shaping and credit assignment when feedback is slow or heterogeneous
Publish at top venues where appropriate; maintain internal technical standards for “generalization claims” backed by evidence
PREFERRED EXPERIENCE: Deep technical expertise and proven research experience in machine learning (ML), with emphasis on transfer learning, meta-learning, intelligent agents, and long-horizon reinforcement learning (RL).
Exposure to hardware development (RTL, verification, PD, or bring-up) or willingness to ramp with embedded experts
Experience with Large Language Models (LLM) tool use, planning, or hierarchical control in real toolchains
ACADEMIC CREDENTIALS: PhD in Computer Science, Machine Learning, or related field strongly preferred.

AI Research Scientist, Hardware AI Systems

Employer job description

WHAT YOU DO AT AMD CHANGES EVERYTHING

THE ROLE:

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Responsibilities

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Qualifications

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