Founding ML Engineer

We are seeking a passionate Founding Engineer with substantial AI / ML and LLM experience to help us develop a co-pilot for chip designers.

This role is pivotal in transforming the chip design process, making it faster and more intuitive for the industry.

Our company operates at the intersection of AI and semiconductor technology. We are committed to modernizing chip design workflows, which have remained largely unchanged for decades.

Our innovative solutions are already making significant impacts for our customers, who include top-tier chip and IP design firms.

By combining cutting-edge technology with user-centered design, we aim to drastically reduce chip design cycles and improve the overall efficiency of hardware development.

As a Founding Engineer , you will leverage your expertise to develop essential features for our AI-driven co-pilot, enabling engineers to build chips more effectively.

You will collaborate closely with our customers to gather feedback, iterate on our product, and directly influence our roadmap.

You’ll be part of a dynamic team that releases updates weekly, fostering an environment of continuous improvement and technical discussion.

What We Can Offer You :

• Competitive salary and equity package.
• Comprehensive health, vision, and dental benefits.
• 401(k) plan.
• A collaborative work environment in the Bay Area.
• Opportunities for professional growth in a rapidly evolving field.

Key Responsibilities :

• Develop AI models and infrastructure that serve 10+ chip / IP customers.
• Make architectural decisions regarding core product features.
• Translate user feedback into actionable product updates.
• Contribute to planning the product roadmap and strategy alongside the founders.

Relevant Keywords :

In this role, you will utilize Python C++ PyTorch , and work with traditional ML models LLMs , and foundation models . Your experience in building ML pipelines and fine-tuning models will be crucial.

Minimum Requirements :

• Strong proficiency in Python and C++.
• Solid understanding of AI / ML and LLM principles.
• Experience with ML pipeline construction and model benchmarking.
• Commitment to producing high-quality code rapidly.
• Ability to apply data-driven approaches to problem-solving.

Ideal Requirements :

• Proven track record of shipping products using LLMs and foundation models.
• Familiarity with AWS SageMaker.

Nice-to-Have Requirements :

• Background in AI / ML-driven chip EDA software tools.
• Experience with chip design, either in open-source or commercial settings.

Join us as a Founding Engineer and play a critical role in reshaping the chip design landscape. If you are excited about this opportunity, we encourage you to apply.