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Member of Technical Staff - Partner Inference Engineer

Liquid AI· GTM
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Boston, San FranciscoFull-timePosted 4d ago

About the role

Engineer to build and own the partner silicon program, lowering Liquid Foundation Models onto edge SoCs, profiling performance, and engaging with partner engineering teams and OEM customers from initial setup to established workflows.

Responsibilities

  • Own and manage the partner device lab: every SoC that Qualcomm, AMD, Intel, NVDA as well as other chip makers building SoCs for edge and physical AI devices ship us
  • Lower LFMs onto partner silicon and profile speed, latency, power and thermal
  • Work directly with partner customer engineers to co-create demos and benchmark narratives
  • Present results to partners and demand-side buyers, explaining why LFMs on their silicon beat the alternative
  • Flag model and runtime performance gaps to Edge Inference with a clear hardware-level diagnosis they can act on
  • Where capability allows, contribute to runtime and model-level optimization directly

Qualifications

  • 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

Skills

Required:Edge model lowering and profilingOn-device performance measurementPartner/customer-facing communication

Benefits

  • Impact at the core of the company: This is where Liquid's thesis gets proven on real hardware, with the four biggest edge silicon names shipping chips to us to find out.
  • Compensation: Competitive base salary with equity in a unicorn-stage company
  • Health: We pay 100% of medical, dental, and vision premiums for employees and dependents
  • Financial: 401(k) matching up to 4% of base pay
  • Time Off: Unlimited PTO plus company-wide Refill Days throughout the year
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Liquid AI

Build efficient general-purpose AI at every scale.

We build efficient general-purpose AI at every scale. Liquid Foundation Models (LFMs) are a new generation of generative AI models that achieve state-of-the-art performance at every scale, while maintaining a smaller memory footprint and more efficient inference.

AIEdge AIFoundation ModelsGenerative AIliquid-ai-recruiting-target
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