Overview

Lambda’s GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. Lambda’s on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

If you’d like to build the world’s best deep learning cloud, join us.

What You’ll Do

  • Lead technical direction, quality, and implementation of software projects across technical domains such as storage, networking, and virtualization
  • Drive complex software projects forward, ensuring the team is making progress and shipping efficiently
  • Oversee research of new technical directions (e.g. storage, networking, virtualization technologies)
  • Mentor engineers across the organization
  • Balance near-term (this week) and long-term (2+ years) engineering goals
  • Identify skill gaps on the team, define new roles, design interview loops
  • Work with product management and key stakeholders to ensure engineering work is aligned with priorities

You

  • Have 8+ years of deep technical leadership experience
  • Are highly adaptable and understand (or can quickly come up to speed) on best practices related to many of the following:
    • System architecture
    • Virtualization
    • Networking (physical, SDN)
    • Distributed storage
    • Public clouds
    • Security
    • Automation
    • Testing
    • Software engineering (e.g. API design)
  • Have led the architecture of complex, large-scale systems built by 25+ software contributors and running on 5000+ servers
  • Have a proven track record of operational excellence and designing right-sized processes related to code quality, automation, and software development lifecycle
  • Have grown and mentored a software engineering team of 25+ people
  • Care deeply about prioritization and balancing business needs with engineering needs
  • Value working on a team that emphasizes strong communication, collaboration, and autonomy
  • Have a strong engineering background – EECS preferred, Mathematics, Software Engineering, Physics

Upcoming Projects

  • Security hardening of virtualization stack
  • Scaling up storage infrastructure
  • Building out a new data center
  • Implementing user-facing software defined networking

About Lambda

  • We offer generous cash & equity compensation
  • Investors include Gradient Ventures, Google’s AI-focused venture fund
  • We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
  • Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • We have a wildly talented team of 100, and growing fast
  • Our remote workforce, based on role, is across the U.S., with headquarters in San Francisco
  • Health, dental, and vision coverage for you and your dependents
  • Commuter/Work from home stipends
  • 401k Plan
  • Flexible Paid Time Off Plan that we all actually use

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Apply for job