About the RoleTogether AI is building the AI Acceleration 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.
As a Senior AI Infrastructure Engineer, 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) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal SaaS products (inference, fine-tuning) 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.
- 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, Google Cloud Platform)
- 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 DPSmartNICs a plus
- GPU programming, NCCL, CUDA knowledge a plus
About Together AITogether AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. 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. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.
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: $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.
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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