AI Infrastructure Systems Engineer

Together; San Francisco (CA); On-site; USD 190,000 - 270,000; Full time

Benefits offered by this job

Health insurance

Startup equity

Competitive benefits

Job summary

Together AI is building and operating one of the world’s largest GPU fleets for frontier model training and inference in San Francisco. We seek engineers who treat infrastructure as software and automate everything to scale massively.

Responsibilities include designing fleet automation systems, AI Infrastructure Agents, and Fleet Intelligence to monitor, diagnose, and optimize performance. This role demands a strong automation mindset and collaboration across teams.

Qualifications

• 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.

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 monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures.
• 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 to manage infrastructure through software, not manual operations.
• Continuously improve deployment velocity, reliability, and operational efficiency through automation.
• Partner with hardware, networking, platform, and AI teams to push AI infrastructure limits.

Skills

Python

Go

Rust

Distributed systems

Tools

Kubernetes

Terraform

Ansible

Linux

Job 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 generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $190,000 - $270,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

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.