Role Description

Join Chipmind as a full-time on-site Software Engineer, Machine Learning and become a key architect in shaping the future of AI-driven chip development. In this specialized role, you will focus deeply on the trajectory, trace, and dataset layer of our stack, serving as a core contributor to our data‑centric ML infrastructure. You will be instrumental in implementing the systems that capture agent reasoning from the ground up, designing the pipelines that manage complex execution traces and high‑fidelity datasets. If you are a backend‑leaning engineer passionate about the intersection of ML systems and hardware design, and eager to build the foundational data layers that bridge the gap between agent logic and silicon reality, we encourage you to apply and help us accelerate the path from code to chip.

Key Responsibilities

• Implement and extend the core reasoning engines and agentic workflows that drive our AI‑based chip des...