Startups · AI

Member of Technical Staff - Partner Inference Engineer

Liquid. · Boston · On-site

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About Liquid.

LiQUiD is the AI Powered Salon Assistant that pays for itself – ensuring every service is profitable, every client comes back, and every decision grows your money. Backed by Techstars.

About the role

Our thesis is that Liquid Foundation Models unlock the capabilities of the silicon they run on, across GPU, NPU and CPU. Multiple silicon players are shipping hardware to us so LFMs can be profiled on it and taken to market together. Nobody owns that work today. We need an engineer who can lower our models onto partner silicon, profile them, and turn the results into evidence that partners and their customers can use. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Deploying and profiling ML models on at least one edge SoC family (Qualcomm Snapdragon / Hexagon, AMD Ryzen AI / XDNA, Intel NPU, SiMa.ai MLSoC, or comparable)
  • Working knowledge of at least one vendor lowering and runtime toolchain (Qualcomm AI Engine Direct / QNN, SiMa Palette, OpenVINO, ONNX Runtime execution providers, or similar)
  • On-device performance measurement: latency, throughput, power and thermal
  • Comfortable presenting technical results to external engineers and commercial stakeholders
More about this role

Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.

Our thesis is that Liquid Foundation Models unlock the capabilities of the silicon they run on, across GPU, NPU and CPU. Multiple silicon players are shipping hardware to us so LFMs can be profiled on it and taken to market together. Nobody owns that work today. We need an engineer who can lower our models onto partner silicon, profile them, and turn the results into evidence that partners and their customers can use.

You will be the first hire of this kind and will build the partner silicon program from scratch: the device lab, the profiling process, and the technical relationship with partner engineering teams. Roughly 70 percent of the role is hands-on technical; the rest is partner- and customer-facing, with automotive OEMs first and PC OEMs next. You will work daily with...

Read the full posting on Liquid.'s site ↗

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