Bronco is an applied AI lab helping chipmakers keep Moore’s law going. Our mission is to build AI silicon engineers that can automate chip design and verification from initial spec to final tape-out.

We are starting with the first AI Design Verification Engineer to help close the verification gap, which is where the bottleneck currently is and where we have the most leverage. 

We are well-funded and backed by tier-1 investors, including YC, 8VC, Elad Gil, SV Angel, and Contrary Capital. Our company has established strong relationships with the leading academic and industry researchers in the field of AI for Chip Design.

About the role

As a founding ML research engineer at Bronco AI, you will complement our team's rich AI background by lending your domain expertise in helping build intelligent reasoning systems for chip verification. 

The ideal candidate is an experienced ML researcher/engineer with previous exposure to chip development programs who seeks to get closer to the cutting edge of AI and work in a high-ownership, high-velocity environment. 

What you'll do

• Design and implement advanced machine learning models, with a focus on Large Language Models (LLMs) and complex retrieval, to solve complex problems and enhance our AI capabilities.

• Utilize our GPU clusters for efficient training, finetuning, and inference of AI models, ensuring optimal performance and scalability.

• Develop smart orchestration strategies for LLM pipelines, including the integration of RAG and agentic flows, to improve model responsiveness and accuracy.

• Explore and implement efficient inference techniques to reduce computational costs and improve the speed of model predictions without compromising quality.

• Collaborate with cross-functional teams to understand business needs and integrate AI solutions into our product offerings seamlessly.

• Stay ahead of the curve in AI research, particularly in the areas of LLMs, to continually improve our technologies and methodologies.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field; advanced degree preferred

• Strong proficiency in Python and AI/ML frameworks like PyTorch

• Previous experience with algorithm development with a focus on performance and scalability

• 4+ years of experience in software development, with a focus on AI/ML applications

• Experience building LLM applications and agentic LLM systems, including:

  • Retrieval-Augmented Generation (RAG)

  • Agent orchestration

  • Advanced reasoning techniques

  • Quantifying performance with evals

  • Dataset curation

• Strong intuition about computer architecture to quickly understand chip design and verification tasks

• Familiarity with cloud computing platforms and distributed systems

• Excellent problem-solving and analytical skills
  

• Strong communication abilities and experience working in cross-functional teams

• Background or experience with Electrical or Computer Engineering
• Familiarity with chip design and verification processes
• Experience with EDA tools (Synopsys, Vivado, etc.)