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Lambda

Cloud-based GPU services for AI training

Workplace Coordinator

Administrative SupportConfirmed live in the last 24 hours
Full-timeSan Jose, CA, USA

About the Job

Requirements

  • Have a minimum of 2 years of administrative experience.
  • Have experience working in a fast-paced work environment.
  • Have experience managing an office space.
  • Be proficient in Google Suite, Microsoft Suite, and Slack.
  • Have experience placing supply orders and organizing mail.
  • Be adaptable to competing demands while remaining approachable to the team.

Responsibilities

  • Assist in managing the San Jose office, including greeting and registering visitors and notifying their hosts.
  • Provide customer service and support to employees, guests, and visitors.
  • Maintain conference rooms, keeping them clean, neat, and well stocked.
  • Maintain, order, and restock kitchen snacks, drinks, and office supplies.
  • Assist with workplace safety and security.
  • Keep the refrigerator and coffee makers clean.
  • Process and distribute incoming mail and fulfill shipping requests.
  • Work closely with IT on employee equipment or accessory requests.
  • Source, manage, and maintain relationships with workplace vendors, including food and beverage, janitorial, and security vendors.
  • Manage the Forkable lunch service account.
  • Collaborate with HR, IT, Legal, FP&A, and Workplace team members to ensure seamless operations.
  • Serve as the first point of contact for facility issues at the San Jose location.
  • Assist with onsite and offsite office events, including ordering catering, decorating, setup, and cleanup.
  • Travel occasionally to the San Francisco office to assist with events and coverage as needed.
  • Routinely update and maintain the San Jose Emergency Action Plan and educate employees on emergency protocols and resources.
  • Assist the Executive Assistant team with scheduling and other administrative tasks.

About the Company

Lambda

Cloud-based GPU services for AI training

Lambda Labs provides cloud-based GPU services for AI training and inference via its AI Developer Cloud, powered by NVIDIA GH200 Grace Hopper hardware to efficiently train large language models and generative AI. Customers access on-demand or reserved GPUs and are billed by the hour (for example, NVIDIA H100 at about $1.99/hour); it also offers Lambda Echelon, where clients own infrastructure but pay a monthly hosting and support fee, and Lambda Stack, a software suite that helps ML teams install and upgrade tools like PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA drivers. The company differentiates itself through competitive pricing, available high-end hardware, and an integrated ML software stack that streamlines workflows. Its goal is to enable scalable, affordable AI development and deployment by providing flexible GPU access, reliable hosting, and easy software deployment for teams working with large models.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$9.1B
Headquarters
San Jose, CA
Founded
2012

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