AI Infrastructure Systems Engineer
Together AI
| Company | Together AI |
| Category | Engineering |
| Location | San Francisco |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 15 May 2026 |
| Last verified | 5 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
Build the infrastructure powering the next generation of AI.
At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale.
You’ll Thrive Here If You:
Love building systems that replace repetitive operational work.
Think of infrastructure as a software engineering problem.
Enjoy solving hard problems with no existing playbook.
Care deeply about performance, reliability, and scale.
Want to build technology that powers frontier AI models.
Our mission is simple: build AI infrastructure that largely runs itself—where intelligent systems deploy, monitor, diagnose, optimize, and heal GPU fleets at massive scale. Every system you build will directly improve the speed, efficiency, and reliability of one of the world’s most advanced AI compute platforms.
If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk.
Responsibilities
Design and build fleet automation systems that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention.
Build AI Infrastructure Agents that automate deployment, root-cause failures, incident triage, and autonomous remediation.
Develop Fleet Intelligence platforms that continuously monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures before they impact customers.
Build software that maximizes GPU availability, utilization, performance, and reliability across thousands of accelerators.
Create automated validation systems for GPUs, InfiniBand/RoCE fabrics, NVLink/NVSwitch, storage, and distributed AI workloads.
Build internal platforms and developer tools that allow infrastructure to be managed through software—not manual operations.
Continuously improve deployment velocity, reliability, and operational efficiency through automation.
Partner closely with hardware, networking, platform, and AI teams to push the limits of AI infrastructure.
Requirements
3+ years building distributed systems, infrastructure platforms, or large-scale backend software.
Strong software engineering skills in Python, Go, or Rust .
Experience building platforms, automation systems, or developer infrastructure.
Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies.
Strong systems thinking with the ability to understand problems across hardware and software.
A passion for solving complex infrastructure challenges through software.
An automation-first mindset —if a task is repeated, your instinct is to build a system to eliminate it.
Bonus Experience
GPU infrastructure, CUDA, NCCL, NVLink/NVSwitch
InfiniBand or RoCE networking
Bare-metal provisioning and lifecycle management
Large-scale AI training or inference clusters
Hardware health monitoring and predictive failure detection
Distributed storage systems
AI agents and autonomous infrastructure operations
About Together AI
Together 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 and engineers in our journey in building the next gene