Help lambda scale its gpu cloud for deep learningYou’ll work at the intersection of software, hardware, sre, networking, and storage to build a public cloud for ai compute.
As a senior software engineer, you will:
Scale up lambda’s compute, networking, and storage infrastructure
Build software to ensure high availability (e.gMonitoring systems)
Build extremely fast distributed storage systems tuned for ai workloads
Add new instance types with cutting-edge hardware
Design and implement customer-facing apis
You may be a fit if:
You have solid experience architecting and implementing large-scale software systems
You are extremely comfortable in a unix shell
You have administered networks or distributed storage systems
You have experience with data center operations
You have experience with virtualization
You have led the delivery of a high impact project from inception to production
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 60, 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.
3 weeks annual paid time off.
Equal opportunity employer
Lambda labs is an equal opportunity employerApplicants 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.
