asteralabs
Machine Learning Engineer (NCG 2026)
At a Glance
- Location
- San Jose, California, United States
- Compensation
- ange for this role is between $140,000 - $160,000 We know that creativity and i
- Posted
- 2026-06-17T18:32:17-04:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Education
- Engineering
Requirements
Documented evidence of deep learning, generative AI, or chip design/verification expertise through one of: published papers, thesis work, GitHub repositories, or research projects
Strong Python programming for ML development and data processing
Solid C++ programming skills
Familiarity with optimization algorithms and their applications
Hands-on work with RAG systems or agentic AI workflows
Working knowledge of VLSI design flows, chip design, or verification methodologies
Compensation & Benefits
We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.
Responsibilities
We are seeking an AI/ML Engineer to design and implement AI-enabled workflows that accelerate silicon development processes across the chip design lifecycle.
You will apply deep learning and generative AI techniques to optimize EDA (Electronic Design Automation) workflows, spanning frontend design through backend physical design and Design-for-Test (DFT) implementation.
Workflow Development & Optimization
Develop AI-enabled automation solutions for frontend and backend silicon development domains including circuit design, design verification, formal verification, static code analysis, debugging, or for backend physical design workflows.
Contribute to agentic workflows that coordinate silicon development tasks
AI/ML Model Development