Remote-Ready Systems Performance Modeling Engineer

Tensordyne; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Tensordyne, a Sunnyvale-based AI system solutions startup, is seeking a Systems Performance Modeling Engineer to build models and tools predicting generative AI inference workloads on Tensordyne systems from accelerator to cluster scale. This is a hands-on role that requires writing simulator code, running experiments, and digging into discrepancies between predictions and measurements.

Working with architects and hardware-software teams, you’ll capture workload behavior, extend simulation and

Qualifications

• Hands-on experience building performance models, simulators, or analytical tools for ML workloads.
• Strong programming in C++ and Python, with clean, testable code.
• Experience comparing model predictions against real measurements, and debugging where they diverge.

Responsibilities

• Implement and extend simulation-based performance models for multimodal generative AI inference at rack, pod, and cluster scale, covering compute, memory, collective communication, and network fabric.
• Model how serving strategies interact with Tensordyne silicon and fabric topology, and measure the effect on latency, throughput, and cost per token.
• Build trace-capture and replay tooling that records real execution from our inference runtime and replays it under hypothetical silicon, system, and network configurations.
• Model collective communication on multi-hop scale-out fabrics, including implementing custom collective algorithms designed for our topology.
• Run calibration experiments on Tensordyne hardware as systems come up, compare them against model predictions, and fix the sources of error.
• Run design-space sweeps and write up clear analyses that architects and engineering teams use in ASIC, fabric, and system configuration decisions.
• Produce performance projections that support product and customer discussions.
• Keep the modeling codebase fast, tested, and reproducible so other engineers can run it themselves.

Skills

Performance modeling

Simulators

ML systems

C++

Python

Distributed systems

Debugging

Experiment design

Education

MS or higher in CS/CE/EE

Tools

Linux

Perf tools

Simulation tooling

Job description

Tensordyne, a Sunnyvale-based AI system solutions startup, is seeking a Systems Performance Modeling Engineer to build models and tools predicting generative AI inference workloads on Tensordyne systems from accelerator to cluster scale. This is a hands-on role that requires writing simulator code, running experiments, and digging into discrepancies between predictions and measurements.

Working with architects and hardware-software teams, you’ll capture workload behavior, extend simulation and