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AI Infrastructure Systems Engineer

Together AI· Engineering
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San Francisco$190k - $270kfull-timePosted 5mo ago

About the role

Engineer who designs and operates large-scale GPU infrastructure for frontier model training and inference, with a focus on automation, reliability, and software-driven infrastructure.

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.

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.

Skills

Required:Distributed systems / infrastructure platformsProgrammingLinux

Benefits

  • competitive compensation
  • startup equity
  • health insurance and other competitive benefits
Last updated Sep 9, 2026. Interested? Apply on the company site.

About Together AI

The AI Acceleration Cloud - Fast Inference, Fine-Tuning & Training

Run and fine-tune generative AI models with simple APIs and scalable GPU clusters. Train & deploy at scale on The AI Acceleration Cloud.

AI native cloudFine-TuningGPU clustersInferenceTrainingai-infrastructure-and-developmentbrex-fastest-growing-2025liquid-ai-recruiting-target
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