Forward Deployed Inference Engineer
About this role
<h2>About Tensordyne</h2>
<p>Tensordyne is building a new class of AI inference system designed for high-performance, power-efficient deployment of the world’s most demanding generative AI workloads.</p>
<p>Our platform combines purpose-built silicon, new AI math, optimized scale-up networking, and memory architecture into a tightly integrated system purpose built for large-scale AI inference. We work with hyperscalers, Neoclouds, frontier model developers, enterprises, and infrastructure partners operating at the leading edge of AI.</p>
<p>As Tensordyne moves from system development into silicon bring-up, customer validation, beta deployments, and production rollout, we are building the technical customer organization that will sit directly between our engineering teams and the companies deploying the platform.</p>
<h2>Role summary</h2>
<p>We are looking for a <strong>Forward Deployed Inference Engineer</strong> who combines deep AI systems expertise with strong customer instincts. This person will own the path from a customer workload or model request to a technical result and, where needed, to an optimized model running successfully on Tensordyne hardware and software.</p>
<p>The role sits at the intersection of model architecture, inference performance, systems optimization, developer tooling, and customer deployment. You will work hands-on with engineering while also acting as a technical bridge to Product, BizDev, Sales, and customers.</p>
<h2>What you will do</h2>
<ul>
<li>Turn customer workloads into fast, credible performance answers through <strong>profiling & benchmarking</strong>. Define relevant KPIs, compare against competitive baselines, and keep our evaluation methodology current with external benchmarks.</li>
<li><strong>Model enablement & optimization:</strong> convert and bring