IT Systems Engineer, Infrastructure & Platform Reliability at Lambda

San Francisco, California, United States

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$206,000 – $310,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Cloud ComputingIndustries

Requirements

Keen interest in system design, architecting for performance, scalability, and experience with multiple cloud infrastructure platforms (AWS, GCP, Azure, etc.)
Think carefully about systems: edge cases, failure modes, behaviors, and specific implementations
Know and prefer configuration management systems and toolchains (Chef, Ansible, Terraform, GitHub Actions, etc.)
Solid programming skills: Python, Go, etc
Urge to collaborate and communicate asynchronously, combined with a desire to record and document issues and solutions
Enthusiastic, go-for-it attitude; fix things when broken
Urge for delivering quickly and effectively, and iterating fast

Responsibilities

Design, write, and deliver software and services to improve the availability, scalability, reliability, and efficiency of Lambda’s internal IT systems and platforms
Solve problems relating to mission critical services and build automation to prevent problem recurrence with the goal of automating response to all non-exceptional events
Work with Lambda Engineering and internal teams to influence and create new designs, architectures, standards, and methods for large-scale distributed systems
Engage in service capacity planning and demand forecasting, software performance analysis, and system tuning
Be an excellent communicator, producing documentation and related artifacts for the systems you are responsible for

Skills

Key technologies and capabilities for this role

AWSGCPAzureConfiguration ManagementSystem DesignScalabilityReliabilityAutomationCapacity PlanningPerformance AnalysisDistributed Systems

Questions & Answers

Common questions about this position

What is the salary range for this IT Systems Engineer position?

The salary range is $206K - $310K annually, though it may vary based on qualifications and market data.

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

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

What key skills are required for this role?

Required skills include experience with cloud infrastructure platforms like AWS, GCP, Azure; configuration management tools such as Chef, Ansible, Terraform, GitHub Actions; and programming in Python, Go. Candidates should also think carefully about systems including edge cases and failure modes.

What is the company culture like at Lambda?

Lambda has an enthusiastic, go-for-it attitude with an urge to collaborate asynchronously, document issues, deliver quickly, iterate fast, and fix broken things. The company values communication and working across teams like Finance, GTM, Engineering, and People.

What makes a strong candidate for this position?

Strong candidates have a keen interest in system design for performance and scalability, solid programming skills, experience with cloud and configuration tools, and an enthusiastic attitude for quick delivery, collaboration, and fixing issues.

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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