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.
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.
What You’ll Build- 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.
- 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.
- 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
- 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.
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.
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.
Please see our privacy policy at https://www.together.ai/privacy
Skills Required
- 7+ years of professional SRE or related experience
- Experience operating GPU-enabled Kubernetes clusters or AI infrastructure for ML training and inference
- Bachelor's degree in Computer Science or related field or equivalent work experience
- Expert knowledge of Ansible (roles, playbooks)
- Expert knowledge of Terraform
- Expert knowledge of Kubernetes
- Proficiency in programming/scripting languages
- Direct experience in monitoring and observability practices
- Advanced knowledge of cloud services
- Be on an on-call (PagerDuty) rotation to respond to incidents
- Ability to thrive in a collaborative environment with different stakeholders
- Ideally based close to Bangalore or remote India
What We Do
Together AI is a research-driven artificial intelligence company. We contribute leading open-source research, models, and datasets to advance the frontier of AI. Our decentralized cloud services empower developers and researchers at organizations of all sizes to train, fine-tune, and deploy generative AI models. We believe open and transparent AI systems will drive innovation and create the best outcomes for society
