Full-Time

Project Manager

Data Center Delivery

Posted on 9/12/2024

Lambda

Lambda

201-500 employees

Cloud-based GPU services for AI training

AI & Machine Learning

Compensation Overview

$114k - $164kAnnually

Mid, Senior

San Jose, CA, USA

Requires presence in San Jose office 4 days per week; designated work from home day is Tuesday.

Category
Project Management
Business & Strategy
Required Skills
AutoCAD
Requirements
  • Possess a BS or MS in Electrical Engineering, or a closely related field.
  • 3 to 7+ years of relevant data center facilities design and build project management experience.
  • Prior, recent experience successfully managing large-scale data center build-outs / fit outs in colocation facilities.
  • Possess hands-on experience with data center design and deployment best practices - including a strong understanding of power distribution and/or structured cable design in the data center.
  • Ability to drive our expectations with vendors and maintain status documents for client projects throughout the project re: scope, budget, billing, schedules and timeframes.
  • Demonstrated expertise in power distribution, emergency backup systems, and critical infrastructure electrical systems.
  • Skilled in using AutoCAD, Revit, and other electrical design and simulation software.
  • Experienced in leading complex projects with multidisciplinary teams, showing a proven ability to drive projects to completion under stringent timelines.
  • Strong understanding of MEP design drawings including plans, sections and elevations.
  • Relationships with local vendors or data center REITs.
  • Ability to estimate projects and review contractor proposals.
  • Knowledge in bid documents and contractor bid leveling.
  • RCDD, BICSI DCDC, CDCDP or PMP or related Data Center Facilities Design certifications are a plus.
Responsibilities
  • Project manage data center fit out projects and work with our data center design subject matter experts to provide on-site support for data center design and build projects from inception to final white space handoff.
  • Work with the team to estimate project costs and review contractor proposals.
  • Help develop RFI (Requests for Information) and RFP (Requests for Proposal) documents required for bid leveling, overseeing comparison and analysis process.
  • Develop budget and project plans during the analysis and design phase of the project.
  • Be an onsite PM to oversee subcontractors while ensuring project deliverables and project delivery expectations are met.
  • Manage our expectations with contractors and maintain status documents throughout the project re: scope, budget, billing, schedules and timeframes.
  • Oversee and review all expenses related to the project, work directly with Director of Data Center Infrastructure Capacity and Engineering on approvals.
  • Exhibit leadership characteristics: strong communication skills, full understanding of project requirements, good decision making and drive to exceed client expectations.

Lambda Labs offers cloud-based services for artificial intelligence (AI) training and inference, primarily through its AI Developer Cloud powered by NVIDIA's GH200 Grace Hopper™ Superchip. The service provides on-demand and reserved cloud GPUs, essential for processing large datasets, with pricing starting at $1.99 per hour. Lambda Labs differentiates itself with competitive pricing and additional services like Lambda Echelon for infrastructure ownership and Lambda Stack for simplifying AI software installations. The company's goal is to support AI developers by providing efficient and accessible GPU resources.

Company Stage

Debt Financing

Total Funding

$372.6M

Headquarters

San Jose, California

Founded

2012

Growth & Insights
Headcount

6 month growth

16%

1 year growth

64%

2 year growth

264%
Simplify Jobs

Simplify's Take

What believers are saying

  • Lambda's Inference API attracts enterprises with cost-effective AI deployment solutions.
  • Nvidia HGX H100 clusters enhance Lambda's competitiveness in high-performance computing.
  • Strong AI cloud growth increases demand for Lambda's cloud-based GPU services.

What critics are saying

  • Nebius offers GPUs 'as-a-service', challenging Lambda's market share.
  • Oracle Cloud's lower CPU core prices may pressure Lambda's pricing strategy.
  • AWS's 896-core instance could divert customers from Lambda's offerings.

What makes Lambda unique

  • Lambda offers the lowest-cost Inference API for AI model deployment.
  • Lambda's AI Developer Cloud uses NVIDIA's GH200 Grace Hopper™ Superchip for efficiency.
  • Lambda Stack simplifies AI software installation for over 50,000 machine learning teams.

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