Cloud Support Engineer I (Support Response)

United States

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$74,000 – $114,000Compensation

Entry Level & New Grad, Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Cloud Computing, Artificial Intelligence, Deep Learning, HardwareIndustries

Requirements

Candidates should possess a working knowledge of Linux, preferably Ubuntu, and have excellent written and oral communication skills to explain technical issues clearly. They must thrive in a fast-paced environment, be detail-oriented, a team player with a customer-first mindset, and have a desire to learn about GPUs. Familiarity with GPU hardware, private/hybrid cloud platforms, scripting, datacenter hardware, and ticketing systems are considered nice to have.

Responsibilities

The Cloud Support Engineer will be the first point of contact for customers, triaging and resolving incoming support requests with empathy and transparency. Responsibilities include troubleshooting OS, hardware, and Lambda Stack issues, accurately escalating tickets, assisting with incident response, documenting solutions, providing feedback to internal teams as the customer's advocate, and collaborating with peers in a customer-first team environment.

Skills

Customer Support

Technical Troubleshooting

OS Support

Hardware Support

Lambda Stack

Ticket Triage

Incident Response

Communication

Problem Solving

Lambda

Cloud-based GPU services for AI training

About Lambda

Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.

San Jose, CaliforniaHeadquarters

2012Year Founded

$372.6MTotal Funding

DEBTCompany Stage

AI & Machine LearningIndustries

201-500Employees

Risks

Nebius' holistic cloud platform challenges Lambda's market share in AI infrastructure.

AWS's 896-core instance may draw customers seeking high-performance cloud solutions.

Existential crisis in Hermes 3 model raises concerns about Lambda's AI model reliability.

Differentiation

Lambda offers cost-effective Inference API for AI model deployment without infrastructure maintenance.

Nvidia HGX H100 and Quantum-2 InfiniBand Clusters enhance Lambda's AI model training capabilities.

Lambda's Hermes 3 collaboration showcases advanced AI model development expertise.

Upsides

Inference API launch attracts enterprises seeking low-cost AI deployment solutions.

Nvidia HGX H100 clusters provide competitive edge in high-performance AI computing.

Strong AI cloud service growth indicates rising demand for Lambda's GPU offerings.

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