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Liquid AI Logo Liquid AI · IT - Software Development

Member of Technical Staff - Edge Inference Engineer

United States, San Francisco · Job Posted February 21, 2026
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Job Description

Our Edge Inference team compiles Liquid Foundation Models into optimized machine code that runs on resource-constrained devices: phones, laptops, Raspberry Pis, and watches. We are core contributors to llama.cpp and build the infrastructure that makes efficient on-device AI possible. You will work directly with the technical lead on problems that require deep understanding of both ML architectures and hardware constraints. This is high-ownership work where your code ships to production and directly impacts model performance on real devices.

Job Responsibility

  • Implement and optimize inference kernels for CPU, NPU, and GPU architectures across diverse edge hardware
  • Develop quantization strategies (INT4, INT8, FP8) that maximize compression while preserving model quality under strict memory budgets
  • Contribute to llama.cpp and other open-source inference frameworks, including new model architectures (audio, vision)
  • Profile and optimize end-to-end inference pipelines to achieve sub-100ms time-to-first-token on target devices
  • Collaborate with ML researchers to understand model architectures and identify optimization opportunities specific to Liquid Foundation Models

Requirements

  • 5+ years of experience in systems programming with strong C++ proficiency
  • Embedded software engineering experience or work on resource-constrained systems
  • Understanding of ML fundamentals at the linear algebra level (how matrix operations, attention, and quantization work)
  • Experience with hardware architecture concepts: cache hierarchies, memory bandwidth, SIMD/vectorization

Nice to have

  • Contributions to llama.cpp, ExecuTorch, or similar inference frameworks
  • Experience with Rust for systems programming
  • Background in custom accelerator development (TPU, NPU) or work at companies like SambaNova, Cerebras, Groq, or Google/Amazon accelerator teams
  • Quantitative degree (mathematics, physics, or similar) combined with engineering experience

What we offer

  • Competitive base salary with equity in a unicorn-stage company
  • 100% of medical, dental, and vision premiums for employees and dependents
  • 401(k) matching up to 4% of base pay
  • Unlimited PTO plus company-wide Refill Days throughout the year
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