Hardware Engineer, Performance Modeling

Normal Computing | Build with Us

Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), London, Copenhagen, and Seoul.

The Role

As a Performance Modeling Engineer at Normal, you will build the transaction-level model (TLM) of our physics-inspired ASICs. It is the model that sits between RTL and the rest of our modeling stack, and that both our architects and our verification team rely on.

You will own the path from RTL to the numerical performance results. You will correlate the TLM against RTL, FPGA prototypes, and synthesis results, then turn it into calibrated latency, bandwidth and energy parameters for kernel-level models. You will work closely with the architecture, hardware design and DV teams, using their feedback to help refine our end-to-end system.

The through-line is your modeling expertise, applied to an architecture that computes differently from anything you have modeled before, and to the AI that is changing how AI workloads get done. This is a seat for a performance modeling engineer who wants their craft