AI Infrastructure Systems Engineer
Join Together AI as an AI Infrastructure Engineer to ensure smooth operation of user-facing services and production systems.
Posted by employer 4 months ago
First seen on Joblaze 4 months ago
Last verified on the company career page 6 hours ago
Skills & Technologies
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
Not disclosed in this posting: work arrangement, visa sponsorship.
Benefits
Joblaze summary
In the role of AI Infrastructure Engineer at Together AI, the individual is tasked with ensuring the seamless operation of user-facing services and production systems. This position requires expertise in systems management, particularly with tools like Ansible, Terraform, and Kubernetes, alongside a solid foundation in programming and monitoring practices. Ideal candidates will have over five years of relevant experience and a background in computer science, thriving in a collaborative environment. Together AI, known for its innovative contributions to open-source AI, offers a dynamic setting for those passionate about advancing AI infrastructure.
Joblaze insights
- Listed about 4 months ago — first seen on Joblaze May 16, 2026. Last confirmed on Together AI's careers page October 8, 2026.
- Salary band is above the typical range for DevOps/SRE roles (median ~$165,000).
- Starts above 81% of 83 comparable senior devops/sre roles in United States that list Kubernetes we track (median $165,000 across 39 companies). See Kubernetes salary trends
- Kubernetes appears in 68.1% of 188 comparable senior devops/sre roles in United States; Ansible appears in 25% of 188 comparable senior devops/sre roles in United States.
Quick facts
- What's the salary range?
- Together AI lists $190,000–$270,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this AI Infrastructure Systems Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Ansible, Kubernetes, Terraform.
- What seniority level is this role?
- Together AI targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this AI Infrastructure Systems Engineer role at Together AI.
From the original posting
About the Role
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.
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
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.
Please see our privacy policy at https://www.together.ai/privacy.
Standard company text repeated across Together AI's postings is omitted here.