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. - Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining. - Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining. - 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
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. ## Requirements
5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired)
5+ years experience writing high-performance, well-tested, production quality code
Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP)
Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members
Deep experience with Kubernetes internals a big plus, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches thereon or Kubernetes itself
Deep experience with VMs/hypervisors a big plus, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV
Deep experience with DC networking tech + solutions a big plus, such as VLAN, VXLAN, VPN, VPC, OVS/OVN
Experience with Cluster API or similar a big plus
Experience working on high-performance compute, networking, and/or storage a big plus
Experience virtualizing GPUs and/or Infiniband a big plus
Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale
Experience with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD)
Experience building IaaS or PaaS systems at scale a plus
Experience with DPUs/SmartNICs a plus
GPU programming, NCCL, CUDA knowledge a plus
Compensation
We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.