GPU Cluster Resource Scheduling and Optimization Engineer
Together AISan Francisco, California, United States
Posted August 12, 2025
160000 - 230000 USD year
Full Time
About the Company
Together AI is a research-driven AI cloud infrastructure provider offering a purpose-built GPU platform for training and running advanced AI models. Serving leading SaaS companies and pioneering startups, Together AI champions open source AI and decentralized computing, advocating for transparency to drive innovation and societal benefits.
Job Description
Together AI is seeking a talented AI Workload Resource Scheduling and Optimization Engineer to improve the performance and cost-effectiveness of large-scale distributed AI workloads. This role focuses on designing and implementing advanced scheduling algorithms and resource management strategies, ensuring scalable and efficient machine learning infrastructure.
Requirements
- 5+ years of experience in resource scheduling, distributed systems, or large-scale machine learning infrastructure.
- Proficiency in distributed computing frameworks (e.g., Kubernetes, Slurm, Ray).
- Expertise in designing and implementing resource allocation algorithms and scheduling frameworks.
- Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and GPU orchestration.
- Strong understanding of operational research techniques and performance tuning.
- Excellent collaboration and communication skills.
Benefits
- Competitive compensation
- Start-up equity
- Health insurance
- Other competitive benefits
