Designing and researching agentic systems at a tech-driven company specializing in chip design. Collaborating with chip designers and ML engineers for innovative solutions.
Responsibilities
Design, engineer, and research agentic systems—software that plans, executes, uses tools, and learns
Bridge LLM agent research with the engineering that puts these systems in production for chip design workflows
Architect and iterate on agentic components: memory, context engineering, tool usage, multi-agent coordination
Experiment with prompting, finetuning, and orchestration to improve agent performance
Build scalable infrastructure for prompt iteration/testing, benchmarking, logging, and evaluation
Assist with pipelines for fine-tuning, automated evaluation, and model deployment
Work directly with chip designers and ML infra engineers to embed agentic workflows into chip design pipelines
Partner with product teams to solve core agent challenges
Define and evaluate performance metrics for agent systems
Design goal-oriented agentic workflows to enhance task completion
Requirements
5+ years of combined ML research and / or software engineering experience
Hands-on with LLMs: prompting, finetuning, evaluation
Strong programming skills
Solid foundations in distributed systems, data pipelines
Cloud + on-premise infra experience involving GPUs. Familiarity with Docker
Excellent communication & a bias toward collaborative problem-solving
PhD or MS in ML, CS, or related field, or equivalent research + implementation experience
Ability to build, evaluate, and iterate LLM-based applications
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