Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
You will be joining a team of highly capable software, hardware and network engineers building one of the largest AI training and inference networks in the world. You'll collaborate with people across Lambda to deliver novel and inventive software solutions that meet the highest standards for safety, security, availability and performance - at the lowest possible cost for our customers. You will experience an inclusive and inventive culture that welcomes bold ideas and empowers you to own them from concept to production.
Our vision is bold and is not an incremental exercise. We will continually re-evaluate and reinvent the software services required to build networks at massive scale and the automation underneath all of it, while operating the existing network flawlessly for all customer workloads.
This role will report to the VP of Cloud and AI Networking, working alongside a highly capable and passionate team of engineers.
If you'd like to join a great team of customer obsessed engineers building the world's best AI cloud, come join us.
About Lambda
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.
You
Hybrid (office & home)
Full time
Bellevue Office / San Francisco Office (Fremont St)
Applications for this job are handled on the company's own website.
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