ats.rippling.com- ATS
Founding ML Research Engineer
ats.rippling.com- ATS, San Francisco, California, United States, 94199
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 preferredStrong proficiency in Python and AI/ML frameworks like PyTorchPrevious experience with algorithm development with a focus on performance and scalability4+ years of experience in software development, with a focus on AI/ML applicationsExperience building LLM applications and agentic LLM systems, including:Retrieval-Augmented Generation (RAG)Agent orchestrationAdvanced reasoning techniquesQuantifying performance with evalsDataset curationStrong intuition about computer architecture to quickly understand chip design and verification tasksFamiliarity with cloud computing platforms and distributed systemsExcellent problem-solving and analytical skillsStrong communication abilities and experience working in cross-functional teamsPreferred Qualifications
Background or experience with Electrical or Computer EngineeringFamiliarity with chip design and verification processesExperience with EDA tools (Synopsys, Vivado, etc.)What 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!
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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 preferredStrong proficiency in Python and AI/ML frameworks like PyTorchPrevious experience with algorithm development with a focus on performance and scalability4+ years of experience in software development, with a focus on AI/ML applicationsExperience building LLM applications and agentic LLM systems, including:Retrieval-Augmented Generation (RAG)Agent orchestrationAdvanced reasoning techniquesQuantifying performance with evalsDataset curationStrong intuition about computer architecture to quickly understand chip design and verification tasksFamiliarity with cloud computing platforms and distributed systemsExcellent problem-solving and analytical skillsStrong communication abilities and experience working in cross-functional teamsPreferred Qualifications
Background or experience with Electrical or Computer EngineeringFamiliarity with chip design and verification processesExperience with EDA tools (Synopsys, Vivado, etc.)What 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!
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