About the RoleTogether AI is building the AI Native Cloud, an end-to-end platform for the full
generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art
AI cloud infrastructure. The Together Cloud team builds the Together GPU Clusters
product, which provides high-performance, AI-ready GPU clusters through a self-serve
cloud console and is the virtualized infrastructure layer powering Together's inference,
RL, and fine-tuning products.
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.
Responsibilities- 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
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, and demonstrated ownership of large-scale projects driven end-to-end to completion
- Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, Google Cloud Platform)
- Excellent communication skills - able to write clear design docs and work effectively with both technical and non-technical team members
- Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale
- 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
Preferred Qualifications:- 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
- Experience with DPSmartNICs
- GPU programming, NCCL, CUDA knowledge
About Together AITogether AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.
CompensationWe 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: $220,000 - $290,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal OpportunityTogether AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
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