Senior HPC Engineer
1 month ago
Join a leading start-up company at the forefront of LLMs & AI Safety
This position would be joining a pioneering company dedicated to engineering cutting-edge AI systems poised to revolutionize industries worldwide.
As an HPC Engineer, you will play a crucial role in developing a robust framework for rapid training and experimentation of large language models on multi-GPUs. You will develop the core inference engine to seamlessly deploy large machine learning models to customers at scale and across distributed systems, contributing significantly to the automated pipeline, optimizing for high throughput training runs and rapid experimentation while achieving top hardware efficiency.
- Design and manage high-performance computing clusters across GPU/TPU, leveraging PyTorch.
- Develop efficient serving of large machine learning models at scale, including quantization and distributed computing, using libraries such as deepspeed.
- Collaborate with the team to optimize software design/architecture, particularly in Python.
- Work with cloud platforms like AWS, GCP, or Azure to deploy and manage AI systems.
- Stay up-to-date with the latest AI research and implement innovative systems.
- Contribute to the development of cutting-edge AI systems, working closely with the team to achieve top results.
- Proven experience in creating and managing high-performance computing clusters.
- Strong software engineering skills, with expertise in software design/architecture, particularly in Python.
- Proficiency in efficient serving of large machine learning models at scale.
- Experience working with cloud platforms like AWS, GCP, or Azure.
- Understanding of the latest AI research and ability to efficiently implement innovative systems.
- Prior experience at a leading machine learning company is a plus.
Key Words: Machine Learning / LLM / Large Language Model / PyTorch / High Performance Computing / HPC / GPU / TPU / Deepspeed / AI / OpenAI / Distributed Systems
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