Founding Engineer

1 week ago


Mountain View, United States Acceler8 Talent Full time

Founding Engineer (AI/ML/LLM)


Introduction

We're seeking a Founding Engineer (AI/ML/LLM) with a passion for transforming chip design processes through cutting-edge technology. If you have significant experience in AI/ML and large language models, this is an opportunity to apply your skills in a challenging and dynamic environment. Your work will directly impact the speed and efficiency of hardware compute ecosystems.


About the Company

You'll be joining a forward-thinking startup that’s revolutionizing the semiconductor industry. We're developing a tool that redefines how chips are built, making the process faster and more intuitive. Backed by leading investors and generating revenue with world-class customers, we are rapidly growing and looking for a Founding Engineer (AI/ML/LLM) to help us meet the demand.


About the Role

As a Founding Engineer (AI/ML/LLM), you'll be at the forefront of innovation, leveraging your expertise to develop features that simplify and accelerate chip design. You'll collaborate closely with advanced chip and IP customers, iterating on our product based on their feedback. This role requires a deep understanding of AI/ML and LLMs, as well as a commitment to shipping high-quality code quickly. You'll work in person with the team in the Bay Area, where we focus on continuous product improvement and stay updated on the latest in semiconductor technology.


What We Can Offer You

  • Competitive salary and equity package
  • Comprehensive health, vision, and dental benefits
  • Commuter stipend
  • Paid work lunches and dinners
  • Subscription to industry-leading semiconductor newsletters


Key Responsibilities

  • Develop AI models and infrastructure to be deployed to over 10 chip/IP customers
  • Make architectural decisions for core product features
  • Translate user feedback into actionable product updates
  • Contribute to the planning of the product roadmap and strategy alongside the founders


Relevant Keywords: Python, C++, PyTorch, ML pipelines, fine-tuning LLMs, AWS SageMaker, Semiconductors, Chip Design



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