Backed by Lux.
About the role
The Silicon ML Engineer (II/III) develops AI-driven capabilities for silicon design and verification workflows by infusing hardware domain knowledge into modern AI and large-model systems. This role differs from an Applied Scientist or MLE role by requiring close integration between machine learning methods and semiconductor design processes, data, and constraints.
What they're looking for
- Design and implement AI-enabled silicon design and verification workflows with explicit incorporation of hardware domain knowledge and constraints
- Encode domain structure, rules, and expert feedback into ML/DL model pipelines, prompts, evaluation, and system logic
- Prepare and curate silicon design and verification datasets with domain-aware labeling and quality controls
- Docusign Envelope ID: D71FD0C3-D2E5-469B-BDF9-474E57D2338C
- Build AI for hardware research prototypes and translate them into scalable, production-quality systems integrated with design flows
- Collaborate directly with other chip design and verification engineers to ensure domain correctness and practical usability
More about this role
**Job Title**
Silicon ML Engineer III
**Job description**
The Silicon ML Engineer (II/III) develops AI-driven capabilities for silicon design and verification workflows by infusing hardware domain knowledge into modern AI and large-model systems. This role differs from an Applied Scientist or MLE role by requiring close integration between machine learning methods and semiconductor design processes, data, and constraints. The engineer will build domain-aware ML/LLM and agent-based systems and translate research prototypes into production-grade tooling used in silicon design flows. Level will be determined based on experience, technical depth, and scope of ownership.
**Key Responsibilities**
- Design and implement AI-enabled silicon design and verification workflows with explicit incorporation of hardware domain knowledge and constraints
- Encode domain structure, rules, and expert feedback into ML/DL model pipelines, prompts, evaluation, and system logic
- Prepare and curate silicon design and verification datasets with domain-aware labeling and quality controls
- Docusign Envelope ID: D71FD0C3-D2E5-469B-BDF9-474E57D2338C
- Build AI for hardware research prototypes and translate...
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