About Us
Bronco is an applied AI lab helping chipmakers keep Moore's law going. Our mission is to build AI silicon verification agents that find bugs, drive coverage, and help companies ship working chips on time.
We're currently deployed alongside verification teams at leading chip companies building next generation hardware (4 nm process node).
We are well-funded and backed by tier-1 investors, including YC, 8VC, Elad Gil, SV Angel, and Contrary Capital. We have also established strong relationships with the leading academic and industry researchers in the field of AI for chip design. Our advisors have won multiple Best Paper Awards at leading conferences, been cited tens of thousands of times, and received some of the highest honors in the microelectronics and EDA industries.
About the role
As a founding ML research engineer at Bronco AI, you will be building world-class intelligent reasoning systems for chip verification. You'll push model capabilities across modalities to develop AI systems that can plan, reason, and debug like the best human verification engineers. 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.
Who you are
- You instinctively tinker. Your first thought when a paper comes out is to find the source code and try running it. You bias towards experimentation and always have something new to try.
- You scoff at the impossible. You fear local minima. You challenge existing best practices and are willing to rethink things from the ground up.
- You learn incredibly quickly. You're an expert in multiple technical domains and you want to become an expert in a few more. You feel confident jumping headfirst into deep technical challenges, learning on the fly, and delivering results.
What you'll do
Design and implement core components of our AI-powered engineering systemsIntegrate classical algorithms and deep learning-based approaches across modalitiesUtilize our GPU clusters for efficient training, finetuning, and inference of AI models, ensuring optimal performance and scalability.Explore and implement efficient inference techniques to reduce computational costs and improve the speed of model predictions without compromising quality.Stay ahead of the curve in AI research, particularly in the areas of LLMs, to continually improve our technologies and methodologies.Collaborate with domain experts to incorporate specialized knowledge into AI systemsWe'd like to see
You are an exceptional researcher who has designed large-scale ML systemsA Bachelor's degree in Computer Science, Software Engineering, or related field; advanced degree preferredStrong proficiency in Python and AI / ML frameworks like PyTorchExperience building LLM applications and agentic LLM systemsFamiliarity with cloud computing platforms and distributed systemsHave strong intuition about computer architecture to quickly understand chip design and verification tasksStrong communication abilities and experience working in cross-functional teamsWe'd prefer if you had
A background or experience with Electrical or Computer EngineeringFamiliarity with chip design and verification processesExperience with EDA tools (Synopsys, Vivado, etc.)Publications at leading ML (NeurIPS, ICLR, ICML, etc.) or EDA (DAC, ICCAD, DVCon, etc.) conferencesWhat We Offer
Competitive salary and equity packageComprehensive benefits including health, vision, and dental coverageHigh-ownership, high-velocity environment with rapid learning opportunitiesChance to work on a profound technical problem that, if solved, will accelerate the future of technology development and civilizationIf you're passionate about revolutionizing chip verification through AI and ready to make a significant impact in a well-funded startup environment, we want to hear from you!
The pay range for this role is :
200,000 - 300,000 USD per year (Bronco HQ)