Technical Support Engineer – GPU Clusters

Together AI

Technical Support Engineer maintaining Kubernetes GPU clusters for Together AI, a research-driven open AI infrastructure company. Resolving enterprise customer infrastructure, networking, and storage issues.

Posted 8/4/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $160,000 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing Kubernetes GPU clusters and high-performance computing environments, with a strong focus on customer engagement and technical problem-solving. Proficient in operating production infrastructure and collaborating cross-functionally to enhance customer satisfaction and drive product improvements.

Highest-signal resume keywords

Kubernetes AdministrationSRE ExperienceAI/ML TechnologiesHPC/Slurm Cluster ManagementComplex Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesSLURMAnsibleGPU TechnologiesHigh-Performance ComputingScripting LanguagesProgramming LanguagesDistributed Storage SystemsNetwork DiagnosticsContainer Infrastructure

Soft Skills

Excellent CommunicationInterpersonal SkillsOwnershipProactive Issue ResolutionProject Management

Tools & Technologies

NFS StorageInfiniBandRDMAHigh-Performance Network FabricsCompute Clusters

Industry Keywords

Customer-Facing Technical RoleAI Service SupportMission-Critical SaaS APITechnical DocumentationTroubleshooting Guides

Tech Stack

Tools & technologies

AnsibleKubernetesNFSNode.jsSwitching

About the role

Key responsibilities & impact

Engage directly with customers to resolve complex technical challenges involving Kubernetes GPU clusters
Act as a customer-facing SRE to keep customer Kubernetes clusters healthy and stable
Become a product expert and serve as the last technical defense before escalation to Engineering and Product
Monitor GPU cluster health and communicate hardware issues with remediation steps
Operate and maintain production infrastructure, including fleet rebalancing, Slurm maintenance, node repair/migration, and Kubernetes workload management
Investigate and resolve storage and networking issues in bare-metal and VM environments
Collaborate with Engineering, Research, Product, Sales, Support, and senior leaders to address customer concerns and drive customer satisfaction
Identify support-case patterns and turn customer insights into roadmap improvements
Maintain documentation, troubleshooting guides, procedures, and FAQs
Provide holiday, night, and weekend coverage as required

Requirements

What you’ll need

3+ years of experience in a customer-facing technical role, including at least 1 year supporting an AI service or mission-critical SaaS API
Experience as an SRE or DevOps engineer working with Kubernetes
Knowledge of AI, ML, GPU technologies, and HPC environments
Advanced knowledge of Kubernetes, SLURM, Ansible, high-performance network fabrics, NFS storage, container infrastructure, scripting, and programming languages
Experience with HPC/Slurm cluster environments, including node draining, job scheduling, and maintenance workflows
Familiarity with InfiniBand, RDMA, and network interface diagnostics
Experience with distributed storage systems such as Weka and NFS, including I/O and bandwidth troubleshooting
Understanding of installing, configuring, administering, troubleshooting, and securing compute clusters
Complex technical problem-solving and proactive issue resolution
Ability to work cross-functionally with Sales, Engineering, Support, Product, and Research
Strong ownership and willingness to learn new skills
Excellent communication and interpersonal skills, including explaining technical concepts to non-technical stakeholders
Ability to manage multiple projects, context switching, and prioritization
Willingness to work US daytime hours, weekends, holidays, nights, and a four-day, 10-hour shift with weekend on-call coverage

Benefits

Comp & perks

Startup equity
Health insurance
Other benefits
Flexibility in terms of remote work