Lambda logo
AI/ML
DevTools/Cloud

Lambda

High-performance GPU cloud computing for AI

San Francisco Office (Fremont St)· 28 rolesSan Francisco Office (Second St)· 15 rolesBellevue Office· 11 roles

CORE INFO

$1.5B
Total Funding
Series D+
Round
2012
Founded
San Jose, California, USA
Headquarters

Lambda provides high-performance GPU-based cloud computing infrastructure tailored for AI workloads, serving a diverse clientele from individual developers to large enterprises and government organizations.

  • Lambda raised over $1.5 billion in its Series E funding round, led by TWG Global, announced in November 2025.investing.com
  • Lambda's infrastructure supports major clients like Microsoft and NVIDIA, with contracts involving multi-billion-dollar GPU access and leasing agreements.datacenterdynamics.com

WHY WE WOULD WORK AT LAMBDA

Transformative Mission

Join a team dedicated to making compute as ubiquitous as electricity, empowering everyone with the potential of superintelligence.

Cutting-Edge Technology

Work with state-of-the-art NVIDIA GPUs and innovative AI infrastructure, including large-scale AI factories designed for high-performance workloads.

Strong Financial Backing

Benefit from Lambda's impressive $1.5 billion funding, positioning the company for rapid growth and stability in the booming AI sector.

Diverse Clientele

Collaborate with a wide range of clients, from individual developers to major corporations like Microsoft and NVIDIA, impacting millions of users daily.

Growth Opportunities

Be part of a rapidly expanding company with ambitious plans to deploy over one million NVIDIA GPUs and 3GW of data center capacity.

Innovative Culture

Join a passionate team that values pushing the boundaries of AI development, fostering a collaborative and forward-thinking work environment.

MARKET AND TRACTION

TOTAL ADDRESSABLE MARKET

  • Lambda operates in the high-performance GPU cloud computing market, specifically targeting AI workloads.

  • The demand for AI infrastructure is rapidly growing, driven by advancements in machine learning and data analytics across various industries including technology, healthcare, finance, and government.
  • NOTABLE CUSTOMERS

  • Lambda has secured significant contracts with major clients, including Microsoft, which has a multi-billion-dollar agreement for GPU access.

  • NVIDIA has also partnered with Lambda, leasing back 18,000 GPUs in a deal valued at $1.5 billion.
  • KEY METRICS

    ✦ KEY METRIC
  • Lambda has raised a total of approximately $2.36 billion across multiple funding rounds, with the most recent being over $1.5 billion in Series E funding announced in November 2025.

  • Projected revenue for Lambda is $250 million for 2023, with expectations to nearly double to $600 million in 2024, indicating a strong growth trajectory.
  • GROWTH TACTICS

  • Lambda aims to build AI factories at gigawatt scale, significantly increasing their GPU capacity to support the growing demand for AI computing.

  • The company is focused on expanding its infrastructure to deploy over one million NVIDIA GPUs and 3GW of liquid-cooled data center capacity.
  • COMPETITIVE ADVANTAGE

  • Lambda's specialization in NVIDIA GPU technology positions it uniquely in the market, providing tailored solutions for AI workloads.

  • Their infrastructure supports services used by hundreds of millions of people daily, enhancing their market presence and reliability as a cloud computing provider.
  • PRODUCT AND TECH

    AI Factories

    Lambda operates large-scale data centers known as 'AI factories' that are specifically designed to support AI model training and inference using high-performance NVIDIA GPUs. These facilities enable clients to leverage massive computational power for advanced AI applications.

    NVIDIA GPU Technology

    Lambda specializes in NVIDIA GPU technology, utilizing models such as GB300 NVL72, HGX B300, B200, and H200 to deliver scalable AI supercomputing resources. This technology is crucial for clients requiring high-performance computing for AI workloads.

    Superclusters and Clusters

    Lambda offers services like Superclusters and 1-Click Clusters™, which provide users with the ability to deploy scalable AI computing environments quickly and efficiently. These solutions simplify the process of accessing powerful computing resources for AI development.

    Cloud Computing Services

    Lambda's cloud computing infrastructure is tailored for AI workloads, catering to a diverse range of clients including developers, startups, and enterprises. This service model allows organizations to access high-performance computing resources without the need for significant upfront investment.

    Scalable AI Infrastructure

    With plans to deploy over one million NVIDIA GPUs and 3GW of liquid-cooled data center capacity, Lambda is committed to building a robust and scalable AI infrastructure. This expansion is essential for supporting the growing demand for AI computing power across various industries.

    COMPANY CULTURE

    Values

  • Commitment to innovation in AI technology

  • Dedication to making compute as ubiquitous as electricity

  • Focus on building scalable AI infrastructure

  • Emphasis on collaboration with clients across various industries

  • Integrity in partnerships with major tech players like Microsoft and NVIDIA
  • Operating Principles

  • Strive for excellence in GPU cloud computing services

  • Foster a culture of continuous improvement and learning

  • Prioritize customer needs and feedback in service development

  • Encourage teamwork and knowledge sharing among employees

  • Maintain a forward-thinking approach to AI advancements
  • Learning & Growth

  • Opportunities for professional development in AI and cloud computing

  • Support for attending industry conferences and workshops

  • Encouragement of innovative thinking and experimentation

  • Access to resources for skill enhancement in cutting-edge technologies

  • Mentorship programs to guide career progression
  • Team Cadence

  • Regular team meetings to align on goals and projects

  • Agile work environment promoting flexibility and responsiveness

  • Open communication channels for feedback and ideas

  • Collaborative project management practices

  • Celebrations of team achievements and milestones
  • Work Style

  • Emphasis on remote and hybrid work flexibility

  • Focus on results-driven performance rather than hours worked

  • Support for a healthy work-life balance

  • Use of advanced technology tools for collaboration

  • Culture of trust and accountability among team members
  • COMPENSATION SNAPSHOT

    A+
    Comp score vs cohort
    vs. AI/ML · Series D+ · US
    Based on publicly available compensation ranges from job postings; exact compensation may vary.
    Engineering IC3n = 4
    $99K – $132Kmedian $116K
    Aggregate
    Engineering IC4n = 20
    $234K – $352Kmedian $293K
    AggregateLos Angeles / Bay Area
    Engineering IC5n = 9
    $337K – $465Kmedian $401K
    AggregateLos Angeles / Bay Area
    Engineering Managern = 3
    $399K – $531Kmedian $465K
    Seattle
    G&An = 16
    $188K – $250Kmedian $219K
    AggregateLos Angeles / Bay Area
    Marketingn = 3
    $203K – $270Kmedian $237K
    Los Angeles / Bay Area
    Operationsn = 14
    $174K – $231Kmedian $202K
    AggregateLos Angeles / Bay Area
    Product ICn = 4
    $352K – $489Kmedian $420K
    Seattle
    US-only in v1 · only categories with n > 2 shown · in-person / hybrid / remote treated separately where n ≥ 3

    HIRING SIGNAL

    90
    Open roles on their careers page
    Snapshot via live ATS poll
    —
    Net new roles in the last 90 days
    Available once weekly history accrues
    90-Day VelocityV2 · BACKFILL
    Trend builds weekly as historical rows accrue
    By Function
    Breakdown of open roles
    Other · 59
    GTM · 1
    Design · 1
    G&A · 3
    Product · 2
    Marketing · 2
    Operations · 11
    Engineering · 11
    Top Locations
    Where hiring is concentrated
    Remote-eligible postings counted separately
    San Francisco Office (Fremont St)
    28
    San Francisco Office (Second St)
    15
    Bellevue Office
    11
    San Jose Office (Zanker)
    10
    Remote, USA
    7
    San Jose Office (First St)
    6
    Bangalore, India
    2
    Querétaro, Mexico - Data Center
    2
    SourcesGreenhouseLeverAshbyWorkableSmartRecruitersRipplingRecruiteeFallback · Wellfound, YC Work-at-a-Startup, careers-page scrape

    KEY COMPANY ANNOUNCEMENTS

    Filter
    15 announcements · ranked by importance
    Nov 18, 2025FUNDINGLambda.ai announces Series E, raises over $1.5Blambda.ai
    Sep 5, 2025CUSTOMER WINNvidia signs $1.5 billion deal with cloud startup Lambda to rent back its own AI chips - 18,000 GPUs will be leased over 4 years, as Lambda gears up for its IPOtomshardware.com
    Feb 15, 2024FUNDINGLambda Labs closes $320m Series C funding round - DCDdatacenterdynamics.com
    Feb 1, 2025FUNDINGLambda Raises $480M to Expand AI Cloud Platformlambda.ai
    Aug 27, 2026FUNDINGLambda closes $926 million senior secured term loan B facility, backing GPU deployment for an investment-grade customerlambda.ai
    Mar 21, 2023FUNDINGLambda Raises $44M to Build the World’s Best Cloud for Training AIlambda.ai
    Oct 28, 2025MILESTONELambda Doubles Down on Midwest Expansion, To Build AI Factory in Kansas City, MOlambda.ai
    Jul 24, 2025PRODUCTLambda NeuralOSneuralos.lambda.ai
    May 5, 2026EXEC HIRELambda assembles leadership team to power gigawatt-scale AI infrastructure for the superintelligence eralambda.ai
    Apr 22, 2026PRESSThe invisible engineering behind Lambda's networkallthingsdistributed.com
    Jun 16, 2026MILESTONEMLPerf Training v6.0: Lambda delivers fastest LLM training on NVIDIA GB300 NVL72 and fastest MoE training on NVIDIA HGX B200lambda.ai
    May 1, 2025FOUNDER PROFILEFounder’s Corner: Stephen Balabangsquared.com
    Jul 17, 2023INTERVIEWHow will the world run on GPUs? w/ Stephen Balaban from Lambda Labspodscripts.co
    Nov 17, 2022FUNDINGForm D filing — Lambda, Inc./DE (CIK 0001954966)sec.gov
    Jan 1, 2025CUSTOMER WINHow Genesis Therapeutics Scaled AI-Driven Drug Discovery with Lambdalambda.ai