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技术专员(GPU性能工程师)

雇主

Reka

地点

远程 · 新加坡

待遇

S$面议

工作模式

远程

截止日期

12月7日

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岗位摘要

We are seeking an experienced GPU Performance Engineer with a strong background in Python and large-scale model training. In this role, you will design and implement improvements to our training infrastructure and directly contribute to technical decisions that optimize performance of our models. You will also work on post-training processes, including reinforcement learning and fine-tuning.…

岗位职责

We are seeking an experienced GPU Performance Engineer with a strong background in Python and large-scale model training. In this role, you will design and implement improvements to our training infrastructure and directly contribute to technical decisions that optimize performance of our models. You will also work on post-training processes, including reinforcement learning and fine-tuning. Furthermore, you will contribute to improving the efficiency and scalability of our model serving infrastructure.
Ideal Experience
Strong engineering skills with fluency in Python and PyTorch (or other frameworks).
Proven experience implementing and training large deep learning models.
Experience writing and debugging low-level GPU code (CUDA, C++).
Experience scaling up GPU jobs using large-scale compute clusters (e.g., Slurm or Kubernetes).
Demonstrated ability to analyze and optimize the performance of GPU-accelerated workloads, including profiling, identifying bottlenecks, and implementing performance tuning techniques.
Reka's Mission
Reka's mission is to build useful multimodal artificial intelligence and use it to empower organizations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to numerous breakthroughs in AI over the past decade.
Why Reka?
An Elite Team: Collaborate with top-tier engineers, researchers, and operators from renowned organizations like Google DeepMind, Facebook AI Research (FAIR), and successful startups, driving innovation in AI technology.
Cutting-edge Infrastructure: Train state-of-the-art models leveraging the latest software and hardware, expanding the frontier of innovation in AI infrastructure development.
Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
Generous Benefits: Enjoy five weeks of paid leave to recharge, comprehensive healthcare benefits (including vision and dental), and additional perks that support your well-being.
Visa Support: We provide visa assistance, including H1B and OPT transfers, for US employees to ensure a smooth transition and support your career with us.

申请条件

- 精通Python和PyTorch(或其他深度学习框架)的工程能力
- 有实现和训练大型深度学习模型的实战经验
- 具备编写和调试底层GPU代码(CUDA、C++)的能力
- 有使用大规模计算集群(如Slurm或Kubernetes)扩展GPU任务的经历
- 能分析和优化GPU加速工作负载的性能,包括性能剖析、瓶颈识别和实施调优技术
- 具备强化学习和微调等后训练流程的相关经验(推断)
- 有优化模型服务基础设施效率和可扩展性的能力(推断)

雇主简介

Reka is a globally distributed foundation model startup focused on building multimodal artificial intelligence to empower organizations and businesses.

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