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Senior Software Engineer - AI Compute, Together Cloud

Together AI· Engineering
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San Francisco$220k - $270kfull-timePosted 11mo ago

About the role

Senior Software Engineer focusing on AI Compute in the Together Cloud org who will build and own major components of the AI cloud platform, including GPU virtualization, in-DC IaaS, and global management for on-demand/reserved clusters across data centers and thousands of GPUs.

Responsibilities

  • Build the GPU and network virtualization stack: the hypervisor, kernel, and SDN work that makes GPU compute and DC networking high-performance, portable, and strongly isolated across heterogeneous hardware.
  • Build and maintain our in-DC IaaS layer: the services, Kubernetes operators, and libraries that provision and manage compute, storage, and networks in our data centers, including VMs, parallel filesystems, VPCs, and InfiniBand partitions. Implement and harden the bring-up path for a new Vera Rubin data center with thousands of GPUs.
  • Scale the distributed GPU scheduling and global management plane: the control-plane services behind on-demand and reserved clusters, including the automation that onboards new capacity and raises per-cluster limits.
  • Harden the monitoring and automated remediation layer for fault tolerance: automated detection, isolation, and recovery of failed nodes that keeps distributed pretraining and large-scale inference fault-tolerant.
  • Own your components end-to-end: write the design docs, break the work into milestones that ship incrementally, and improve the reliability of what's already in production.
  • Raise the bar around you: code review, design feedback, and mentoring junior engineers.
  • Build the tooling other teams rely on: testing frameworks, developer tools, and documentation that make our systems robust and usable across teams, plus contributions to the core, open-source Together AI platform.

Qualifications

  • 5+ years of professional software development experience, with strong proficiency in at least one backend programming language (Golang desired).
  • Demonstrated ownership of large-scale projects driven end-to-end to completion, writing high-performance, well-tested, production-quality code.
  • Demonstrated experience building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP).
  • Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale.
  • Excellent communication skills — able to write clear design docs and work effectively with both technical and non-technical team members.
  • Experience building and operating reliable, customer-facing production systems at scale, and owning the infrastructure automation (Terraform, Ansible), observability (Prometheus, Grafana), and CI/CD (GitHub Actions, ArgoCD) that keep them healthy.

Skills

Required:Backend programmingDistributed systemsCloud infrastructure

Benefits

  • startup equity
  • health insurance
  • remote-friendly flexibility
  • competitive compensation + equity + benefits
Last updated Sep 23, 2026. Interested? Apply on the company site.

About Together AI

The AI Acceleration Cloud - Fast Inference, Fine-Tuning & Training

Run and fine-tune generative AI models with simple APIs and scalable GPU clusters. Train & deploy at scale on The AI Acceleration Cloud.

AI native cloudFine-TuningGPU clustersInferenceTrainingai-infrastructure-and-developmentbrex-fastest-growing-2025liquid-ai-recruiting-target
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