ML Hardware Architect

6 days ago


San Francisco, California, United States Liquid AI Full time
Required Skills and Qualifications
To be successful as an ML Hardware Architect at Liquid AI, you will need to have a strong background in machine learning, with expertise in PyTorch and its ecosystem. You should be familiar with mobile development and have experience with cache-aware algorithms. Additionally, you should be self-motivated, driven by a passion for optimizing performance across diverse hardware platforms.

We are looking for someone who has a deep understanding of modern hardware architecture, including cache hierarchies and memory access patterns. You should be proficient in Python, PyTorch, CUDA, and C++, with experience in optimizing ML inference stacks for diverse hardware platforms.

The ideal candidate will have a strong track record of delivering high-quality results, with excellent communication and teamwork skills. They should be able to work independently, taking ownership of projects and delivering results within tight deadlines. We offer a competitive salary of $280,000 per year, along with a comprehensive benefits package, including health insurance, retirement planning, and opportunities for professional growth and development.

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