[Remote] Data Center Implementation Project Manager at Lambda

United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

Experience leading or coordinating critical infrastructure projects, preferably within data center or mission-critical environments
Deep understanding of data center infrastructure and technologies
Strong project management skills, including planning, execution, risk management, and stakeholder communication
Ability to work independently and collaboratively in a fast-paced environment
Experience with vendor and contractor management
Technical depth and judgment to anticipate risks and resolve field challenges

Responsibilities

Independently lead the execution of complex data center infrastructure projects
Oversee full project lifecycles from design coordination to site deployment
Proactively identify risks and resolve complex issues
Participate in and influence design reviews
Translate designs into executable field plans
Maintain comprehensive project documentation
Interface with general contractors, commissioning agents, and OEM partners
Oversee coordination and delivery of OFCI equipment
Conduct regular site visits to assess progress and validate workmanship
Communicate project updates and risks effectively to leadership and stakeholders
Track and forecast progress against milestones, budgets, and resource allocations
Partner with cross-functional teams to ensure seamless coordination
Identify and implement improvements in project delivery workflows
Mentor junior team members and contribute to internal training

Skills

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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