6 часов назад
Senior Edge Inference Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Edge Inference Engineer (AI/C++): Implementing and optimizing machine-learning inference kernels and pipelines for CPU, NPU, and GPU architectures on resource-constrained edge devices with an accent on quantization, memory efficiency, and hardware-level optimization. Focus on achieving sub-100ms time-to-first-token, supporting new model architectures, and upstreaming production-grade improvements to llama.cpp.
Location: Hybrid in San Francisco or Boston; remote work is available, and other locations may be considered
Company
, spun out of MIT CSAIL, builds general-purpose AI systems optimized for data centers and on-device hardware.
What you will do
- Implement and optimize inference kernels for CPU, NPU, and GPU architectures across diverse edge devices.
- Develop INT4, INT8, and FP8 quantization strategies that reduce memory usage while preserving model quality.
- Contribute to llama.cpp and other open-source inference frameworks, including support for audio and vision model architectures.
- Profile and optimize end-to-end inference pipelines to achieve sub-100ms time-to-first-token on target devices.
- Collaborate with ML researchers to identify optimization opportunities for Liquid Foundation Models.
- Own major optimization workstreams from design through production deployment and upstream contribution.
Requirements
- 5+ years of systems programming experience with strong C++ proficiency.
- Experience with embedded software or resource-constrained systems.
- Understanding of ML fundamentals, including matrix operations, attention mechanisms, and quantization.
- Knowledge of cache hierarchies, memory bandwidth, SIMD, and vectorization.
- Ability to work autonomously, diagnose performance bottlenecks, and ship maintainable production code.
- Experience delivering measurable latency or memory improvements on an edge device class.
Nice to have
- Contributions to llama.cpp, ExecuTorch, or similar inference frameworks.
- Rust systems programming experience.
- Experience with custom TPU or NPU accelerator development.
- A quantitative degree in mathematics, physics, or a related field combined with engineering experience.
Culture & Benefits
- High-ownership work involving novel model architectures and optimization strategies.
- Production code runs on real customer devices and contributes to open-source projects.
- Competitive base salary with equity in a unicorn-stage company.
- 100% coverage of medical, dental, and vision premiums for employees and dependents.
- 401(k) matching up to 4% of base pay.
- Unlimited PTO and company-wide Refill Days.
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