Company Name: ChipStack

Job Details: 2,Locations,In-Office,or,Remote,Senior,level

Job Url: https://builtin.com/job/research-scientist-engineer-agents/6673998

Job Description: About ChipStackChips are at the center of today's tech-driven world. But how we design them has not changed in decades, while their complexity and specialization have skyrocketed due to increasing performance demands from applications like AI. We want to change that.Our team is small, technical, and fast-moving. We’ve built and shipped at the intersection of AI, EDA, and systems software, with deep roots at companies like Qualcomm, Nvidia, Google, Meta, and the Allen Institute for AI. We’re backed by top investors including Khosla Ventures, Cerberus, and Clear Ventures, and already deployed with 10+ innovative customers—from Fortune 100s to cutting-edge AI silicon startups.Role OverviewYou’ll design, engineer, and research agentic systems—software that plans, executes, uses tools, and learns. You’ll bridge LLM agent research (prompting, tool use, memory architectures) with the engineering that puts these systems in production for chip design workflows.Key ResponsibilitiesAgent Research & PrototypingArchitect and iterate on agentic components: memory, context engineering, tool usage, multi-agent coordinationExperiment with prompting, finetuning, and orchestration to improve agent performanceInfrastructure DevelopmentBuild scalable infrastructure for prompt iteration/testing, benchmarking, logging, and evaluationAssist with pipelines for fine-tuning, automated evaluation, and model deployment.Collaboration & IntegrationWork directly with chip designers and ML infra engineers to embed agentic workflows into chip design pipelinesPartner with product teams to solve core agent challenges (e.g., long-horizon planning, tool integration)Research & MetricsDefine and evaluate performance metrics for agent systemsDesign goal-oriented agentic workflows to enhance task completionYou Should Have5+ years of combined ML research and / or software engineering experienceHands-on with LLMs: prompting, finetuning, evaluationStrong programming skillsSolid foundations in distributed systems, data pipelinesCloud + on-premise infra experience involving GPUs. Familiarity with DockerExcellent communication & a bias toward collaborative problem-solvingPhD or MS in ML, CS, or related field, or equivalent research + implementation experienceAbility to build, evaluate, and iterate LLM-based applicationsNice-to-HaveExperience in fine-tuning LLMs specifically for agentic applicationsExperience designing agentic systems or multi-agent workflowsFamiliarity with reinforcement learning (RLHF/RL-agent contexts)Background in integrated ML infra and agent evaluation pipelinesInterest or experience in the chip design/EDA domainWhat Makes This Role UniquePlay a key role at the intersection of agent research and real-world infra, delivering autonomous workflows for chip designInfluence both the research direction and the productionization of agentic systemsJoin a tight-knit founding team, directly impacting high-stakes chip-design automation tasksCultureChallenge status quo: We are innovators who can challenge the status quo and push forward our vision of the world.Strong opinions, loosely held: We are low on ego, but high on collaboration. We are okay to be wrong and are always open to learning.Ship fast, ship quality: We ruthlessly prioritize what matters. We build a few things, but at lightning speed with high quality.Proud of our craft: Attention to detail is in our DNA. We take pride in what we build and ensure they exceed the high standards of the semiconductor industry.#BI-Remote