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.
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.
- 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
Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.
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
Together AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Together AI and has not been reviewed or approved by Together AI.
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Fair & Transparent Compensation — Pay is considered competitive for the company’s stage, with especially strong offers for technical and research roles. A posted AI researcher range reaching into the high-$200Ks alongside equity and benefits reinforces the overall pay positioning.
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Equity Value & Accessibility — Equity is commonly included alongside base salary, giving employees ownership exposure tied to company growth. Total compensation is often framed around salary plus equity for specialized roles.
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Flexible Benefits — Job listings describe a flexible time‑off policy and hybrid or remote work options. Commuter perks and regular team events are also cited as part of the package.
Together AI Insights
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
