Software Engineer, Lambda

Platform

$160-230k

Kubernetes
Python
Linux
Ansible
Golang
Junior and Mid level
San Francisco Bay Area

More information about location

4 days a week in office

Lambda

Deep learning infrastructure company

Be an early applicant

Lambda

Deep learning infrastructure company

201-500 employees

B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing

Be an early applicant

$160-230k

Kubernetes
Python
Linux
Ansible
Golang
Junior and Mid level
San Francisco Bay Area

More information about location

4 days a week in office

201-500 employees

B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing

Company mission

To accelerate human progress through computation.

Role

Who you are

  • Have 2+ years of experience working with Golang or Python in production environments
  • Have 2+ years of experience with configuration management tools and practices
  • Are familiar with Linux operating systems and comfortable working in a Linux-based environment

Desirable

  • Experience working with Golang (preferred) in infrastructure or backend development
  • Hands-on experience with configuration management in the context of bare metal lifecycle management
  • Experience building Linux distributions and managing OS-level customization
  • Familiarity with Ansible for system configuration and automation
  • Exposure to Kubernetes and container orchestration concepts

What the job involves

  • As a team responsible for core infrastructure services, you will work across a wide range of technologies, including configuration management, machine lifecycle automation, and system provisioning
  • While we don’t expect you to be an expert in every area, we do expect you to learn, collaborate, and contribute effectively
  • Develop and Maintain Production Systems: Design, implement, and improve software that powers GPU fleet lifecycle management and machine configuration at scale
  • Automate Infrastructure: Build and enhance automation frameworks for machine provisioning, configuration management, and deployment
  • Manage Configuration at Scale: Develop and optimize configuration management systems to ensure consistency, reliability, and efficiency in managing large-scale infrastructure
  • Enhance Machine Lifecycle Processes: Improve and refine workflows for bare metal provisioning, firmware updates, and system health monitoring
  • Collaborate Across Teams: Work closely with infrastructure, security, and product engineering teams to develop scalable and maintainable solutions

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Insights

Top investors

26% employee growth in 12 months

Company

Company benefits

  • 100% remote team
  • Healthcare, dental, vision, work-from-home Internet, and phone stipend.
  • Vacation Plan: We offer flexible PTO to all team members as well as five sick days and twelve paid holidays each year.
  • Paid Leave: Team members will receive financial security during some of life's more stressful moments, should they experience those. Offering paid parental leave, paid personal medical leave, and paid caregiver leave.

Funding (last 2 of 5 rounds)

Feb 2025

$480m

SERIES D

Feb 2024

$320m

SERIES C

Total funding: $863m

Our take

Lambda is a leading provider of deep learning GPU cloud services and computing hardware, founded to aid in providing a solution to the difficult problem of teaching machines how to see and learn.

Their customers include Apple, Intel, Microsoft, Linkedin, and Fortune 500 companies like Microsoft and Amazon Research, so it's no coincidence that Lambda GPU Cloud ranks number three on a google search for 'GPU cloud', behind only NVIDIA and Google itself.

With investments from 1517, Gradient Ventures, Bloomberg Beta, and Razer, Lambda intends on using the capital to expand its cloud and software, engineering teams. As well as looking to ramp up more investments into its GPU cloud, the company is constantly working to improve its hardware products.

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Freddie

Company Specialist at Welcome to the Jungle