Together AI

Own the production reliability of a Kubernetes-native control plane powering a large-scale GPU inference fleet. You’ll lead incident response, improve self-healing automation, and turn complex infrastructure failures into durable software fixes.

Build and operate autonomous infrastructure software for one of the world’s largest GPU fleets, supporting frontier-model training and inference at massive scale. The role focuses on fleet automation, intelligent monitoring, autonomous remediation, and maximizing GPU reliability and utilization.

Build the Kubernetes-native control plane that provisions, operates, and optimizes GPU inference infrastructure. You’ll create self-service APIs, reconciliation systems, automated remediation, and scheduling improvements that make large-scale inference capacity reliable and efficient.

Forward Deployed Engineer specializing in LLM post-training, partnering directly with strategic customers to fine-tune and improve models using supervised fine-tuning and reinforcement learning. The role combines deep technical execution, customer leadership, experimentation, and feedback into the post-training platform.

Own the production reliability and continuous improvement of a Kubernetes-native control plane that provisions and operates a large-scale GPU inference fleet. You will lead incident response, build self-healing automation, and turn inference infrastructure failures into durable software fixes.

Lead the architecture and implementation of Together AI’s global AI compute cloud, including GPU virtualization, data-center infrastructure, scheduling, and fault-tolerant control planes. This staff-level role combines hands-on systems engineering with technical direction, cross-team leadership, and mentorship.

Lead the architecture, operation, and scaling of multi-petabyte distributed storage infrastructure for AI training and inference at GPU-cluster scale. You’ll build Kubernetes-native storage platforms, optimize high-throughput data paths, and drive storage performance, reliability, and cost efficiency.

Lead the architecture and implementation of Together AI’s global GPU cloud platform, spanning virtualization, data-center networking, distributed control planes, and fault-tolerant infrastructure. This staff-level role combines hands-on systems engineering with technical direction, cross-team leadership, and team mentorship.