Senior Silicon ML Engineer: Production-Grade Chip Design AI

Cognichip; Redwood City (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Cognichip seeks a Silicon ML Engineer III to develop AI-driven capabilities for silicon design and verification workflows. This role requires integration between machine learning and semiconductor design processes. The engineer will translate research prototypes into production-grade tooling used in silicon design flows.

The ideal candidate will have a PhD in Computer Science or a related field, strong programming skills in Python, and experience working with machine learning projects. Collaborating directly with chip design engineers is essential for ensuring practical usability.

Qualifications

• PhD in a relevant field with 3+ months of applied research or industry experience.
• Strong skills in Python with experience in ML frameworks like PyTorch.
• Hands-on experience in machine learning and deep learning projects.

Responsibilities

• Design and implement AI-enabled silicon design workflows.
• Collaborate with chip design engineers for domain correctness.
• Build AI for hardware research prototypes and production systems.

Skills

Python programming

Machine learning

Deep learning

Collaboration with technical teams

Data quality metrics

Education

PhD in Computer Science, Electrical Engineering, or relevant field

Job description

Cognichip seeks a Silicon ML Engineer III to develop AI-driven capabilities for silicon design and verification workflows. This role requires integration between machine learning and semiconductor design processes. The engineer will translate research prototypes into production-grade tooling used in silicon design flows.

The ideal candidate will have a PhD in Computer Science or a related field, strong programming skills in Python, and experience working with machine learning projects. Collaborating directly with chip design engineers is essential for ensuring practical usability.