Together AI

Together AI

Staff Engineer, Distributed Storage and HPC & AI Infrastructure

San Francisco · Staff+ · Full-time

Sponsorship not specified$10k-$50kDetected 11 days ago
PythonGoNode.jsAlgorithmsKubernetesTerraformAnsibleHelmLinuxPrometheusGrafanaMachine LearningResearchLeadershipArgo CD

About the role

  • In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world's largest AI training and inference workloads. You'll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies such as Vast, Weka, Ceph, and Lustre, and solve the complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations.
  • You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale. Day-to-day, you'll optimize end-to-end data paths for 10-50 GB/s per node, design multi-tier caching architectures, implement intelligent prefetching and model-weight distribution, and tune parallel filesystems for AI workloads.
  • In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world's largest AI training and inference workloads.

Responsibilities

  • Architect and implement the technical strategy and storage roadmap for Together AI, driving high-performance architectural decisions as we scale our GPU fleet.
  • Develop intelligent caching and tiered storage architectures to achieve extreme IOPS and cluster-wide throughput at GPU scale for training and inference workloads.
  • Optimize end-to-end data paths through advanced benchmarking and profiling, contributing high-impact code to open-source storage projects and internal tooling.
  • You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale.
  • Day-to-day, you'll optimize end-to-end data paths for 10-50 GB/s per node, design multi-tier caching architectures, implement intelligent prefetching and model-weight distribution, and tune parallel filesystems for AI workloads.

Requirements

  • 8+ years in storage engineering, managing distributed storage at multi-petabyte scale
  • Proven track record deploying and operating high-performance storage for GPU/HPC clusters
  • Deep Kubernetes and cloud-native storage experience in production environments
  • BS/MS in Computer Science, Engineering, or equivalent practical experience
  • Distributed Storage Systems: Deep expertise in either of Ceph, WekaFS, Lustre, Vast, GPFS, or similar parallel filesystems at multi-petabyte scale
  • Object Storage: Production experience with S3, MinIO, Ceph, or R2 including performance optimization and cost management
  • Linux Storage Stack: Advanced knowledge of filesystems (ext4, xfs), LVM, NVMe optimization, RAID configurations
  • Production experience with S3, MinIO, Ceph, or R2 including performance optimization and cost management
  • Advanced knowledge of filesystems (ext4, xfs), LVM, NVMe optimization, RAID configurations

Nice to have

  • GPU Direct Storage (GDS), NVMe-oF, storage networking, RDMA implementations
  • ML/AI storage patterns (model weights, checkpointing, dataset caching)
  • Storage benchmarking and profiling tools (fio, iperf3, iostat, blktrace).
  • About Together AI
  • Together AI is a research-driven artificial intelligence company.
  • 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.
  • Individual compensation will be determined by experience, skills, and job-related knowledge.

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: $250,000 - $300,000 + 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 opportunity

  • Together 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.

Visa & Work Authorization

  • t 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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This listing is sourced directly from Together AI's careers page and normalized into a canonical job model.