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Senior Software Engineer (Together Cloud Infrastructure)

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Onsite

Senior Software Engineer (Together Cloud Infrastructure)

Together AI

Senior Software Engineer (Together Cloud Infrastructure)

Skills

Google Cloud PlatformNodeGolangGrafanaMachine LearningAIAWSAnsiblePrometheusGitHubKubernetesTerraformAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

$220,000 – $290,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

13 August 2026

What they need


  • As a Senior Software Engineer in Together Cloud Infrastructure, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs)
  • You’ll enable state-of-the-art ML practitioners with self-serve AI cloud
    services, such as on-demand + managed Kubernetes and Slurm clusters, for both our internal SaaS products (inference, fine-tuning, RL) and our external cloud customers, spanning dozens of data centers across the world.
  • Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in. DC parallel storage provisioning, and VM provisioning
  • Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs
  • Design and build distributed GPU scheduling and the global management plane that power on-demand and managed clusters across dozens of data centers
  • Develop infrastructure that powers our internal inference, RL, and fine-tuning products in addition to external cloud customers
  • Design and build systems that scale per-cluster capacity limits and automate the onboarding of new capacity
  • Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining and model weights for large-scale inference
  • Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining and large-scale inference
  • Perform architecture and research work for decentralized AI workloads
  • Work on the core, open-source Together AI platform
  • Create services, tools, and developer documentation
  • Create testing frameworks for robustness and fault-tolerance
  • We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama

Benefits

  • Competitive health insurance plans
  • Income protection & retirement
  • Mental health support and services
  • Dental and vision insurance
  • Pre-tax flexible spending accounts
  • STD & LTD insurance
  • 401(k) plan
  • AD&D insurance
  • Life insurance
  • Team-driven celebrations and events
  • Flexible time off policy
  • Monthly commuting stipend + pre-tax bene
  • Monthly team lunches- To be successful, you’ll need to be deeply technical and possess excellent communication, collaboration, and diplomacy skills
  • You have strong fundamental software development skills. In addition, you have strong systems knowledge and troubleshooting abilities
  • Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale
  • 5+ years experience writing high-performance, well-tested, production quality code, and demonstrated ownership of large-scale projects driven end-to-end to completion
  • Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members
  • 5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired)
  • Experience building and operating reliable, customer-facing production systems at scale with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoC
  • Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP)
  • Deep experience with Kubernetes internals, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches to Kubernetes itself
  • Deep experience with VMs/hypervisors, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV
  • Deep experience with DC networking tech + solutions, such as VLAN, VXLAN, VPN, VPC, OVS/OVN
  • Experience with Cluster API or similar
  • Experience working on high-performance compute, networking, and/or storage
  • Experience virtualizing GPUs and/or Infiniband
  • Experience building IaaS or PaaS systems at scale
  • GPU programming, NCCL, CUDA knowledge
  • Experience with DPUs/SmartNICs

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