Customer Support Engineer (GPU Cluster), India

Together Computer Inc; United States; Hybrid; USD 90,000 - 150,000; Full time

Benefits offered by this job

Startup equity

Health insurance

Remote work flexibility

Job summary

Together AI is seeking a Customer Support Engineer to assist customers building training, fine-tuning, and inference solutions on our GPU cluster platform. You will be the first line of defense for technical issues, act as a product expert, and drive improvements across product, sales, and support teams.

The role requires deep AI/ML and GPU HPC knowledge, strong communication, and the ability to operate in a fast-paced, non-standard workweek environment.

Qualifications

• 3+ years in a customer-facing tech role; at least 1 year in AI or mission-critical SaaS support.
• Strong background in AI/ML and GPU tech within HPC environments.
• Familiar with Kubernetes, SLURM, Ansible, and storage networking.

Responsibilities

• Engage directly with customers to tackle complex technical challenges involving Kubernetes GPU clusters and provide swift solutions.
• Become a product expert for the GPU Cluster service, guiding customers and deflecting issues to Engineering and Product teams as needed.
• Collaborate across Engineering, Research, and Product teams to address customer concerns and help shape Together's roadmap.
• Document system configurations, procedures, troubleshooting guides, and FAQs to enable knowledge sharing with both team and customers.
• Support coverage during holidays, nights and weekends as required to ensure reliable service.

Skills

AI/ML knowledge

Kubernetes

Troubleshooting

Customer-facing

HPC concepts

Tools

Ansible

SLURM

NFS storage

Scripting

Job description

About the Role

As a Customer Support Engineer at a pioneering AI company, you'll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You'll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment.

Responsibilities

• Engage directly with customers to tackle and resolve complex technical challenges involving our cutting-edge Kubernetes GPU clusters; ensure swift and effective solutions every time.
• Become a product expert in our GPU Cluster service, serving as the last line of technical defense before issues are escalated to Engineering and Product teams.
• Collaborate seamlessly across Engineering, Research, and Product teams to address customer concerns; collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction.
• Transform customer insights into action by identifying patterns in support cases and working with Engineering and Go-To-Market teams to drive Together's roadmap (e.g., future models to support)
• Maintain detailed documentation of system configurations, procedures, troubleshooting guides, and FAQs to facilitate knowledge sharing with team and customers.
• Be flexible in providing support coverage during holidays, nights and weekends as required by business needs to ensure consistent and reliable service for our customers.

Requirements

• 3+ years of experience in a customer-facing technical role with at least 1 year in a support function in AI or supporting a mission-critical API in SaaS
• Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments.
• Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible) high-performance network fabrics, NFS-based storage management, container infrastructure, and scripting and programming languages.
• Foundational understanding in the installation, configuration, administration, troubleshooting, and securing of compute clusters.
• Complex technical problem solving and troubleshooting, with a proactive approach to issue resolution
• Ability to work cross-functionally with teams such as Sales, Engineering, Support, Product and Research to drive customer success.
• Strong sense of ownership and willingness to learn new skills to ensure both team and customer success.
• Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Ability to operate in dynamic environments, adept at managing multiple projects, and comfortable with frequent context switching and prioritization.

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 in our journey in building the next generation AI infrastructure.

Working Schedule

This position operates on a non-standard workweek to support business needs. The schedule will be either Saturday-Wednesday or Wednesday-Sunday, with two weekly off days.

Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work for the respective hiring region. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together 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.