[Remote] Senior Cloud Solutions Engineer at Lambda

United States

Apply Now

$249,600 – $374,400Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Cloud Computing, AI/ML Services, GPU Hardware & Cloud InfrastructureIndustries

Skills

Key technologies and capabilities for this role

Cloud SolutionsAWS/Azure/GCPAI/ML workloadsGPU computingSystem deploymentCustomer engagementTechnical presentationsSolution architectureDeep learning trendsInfrastructure management

Questions & Answers

Common questions about this position

What is the salary range for this position?

The salary range is $249.6K - $374.4K OTE.

Is this role remote?

Yes, this is a remote position.

What experience is required for this role?

Candidates need 8+ years designing, deploying, and scaling cloud infrastructure, 4+ years as a solutions architect or consultative role in cloud services, 3+ years with cloud-based AI/ML services, and deep knowledge of the ML ecosystem.

What is the company culture like at Lambda?

Lambda emphasizes reinforcing its culture, contributing positively throughout the organization, maintaining high agility and responsiveness, and being hyper-focused on customer satisfaction.

What makes a strong candidate for this position?

Strong candidates have extensive experience in cloud infrastructure (8+ years), solutions architecture (4+ years), AI/ML services (3+ years), and deep ML ecosystem knowledge, along with the ability to advocate for products and own the technical sales process.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free