Senior Software Engineer - Managed Kubernetes at Lambda

San Francisco, California, United States

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$255,000 – $405,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Cloud Computing, Software EngineeringIndustries

Skills

Key technologies and capabilities for this role

KubernetesControl Plane ServicesOperatorsCustom ControllersAutomationCluster Lifecycle ManagementAPIsCLI DevelopmentDistributed SystemsSite Reliability Engineering (SRE)

Questions & Answers

Common questions about this position

What is the salary range for this Senior Software Engineer position?

The salary range is $255K - $405K.

Is this a remote or hybrid role, and what are the office requirements?

This is a hybrid role requiring presence in the San Francisco office 4 days per week, with Tuesday designated as the work-from-home day.

What skills and experience are required for this role?

Candidates need 6+ years in software engineering or SRE roles, plus 3+ years leading large-scale complex projects or tech lead experience. Experience tuning is also mentioned.

What is the company culture like at Lambda?

Lambda was founded by AI engineers and maintains a focus on building the world's top AI computing platform, with a mission to make computation effortless like electricity. They emphasize equipping engineers with fast, secure, scalable tools.

What makes a strong candidate for this Senior Software Engineer role?

Strong candidates have 6+ years in software engineering or SRE, experience leading large-scale projects, and skills in designing scalable Kubernetes services, automation, and defining SLOs/SLIs.

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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