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Bellevue, Washington, United States
Hybrid
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.
What You’ll Do
Own the multi-year technical strategy for Lambda's networking software roadmap covering tools, software and services supporting backend GPU fabric, frontend networks, backbone, edge and everything in between.
Set the technical direction and standards other engineers design, build and operate against.
Own high-level technical relationships with enterprise customers, guiding mission-critical projects
Influence across teams applying high quality technical judgment
Resolve any technical ambiguity that spans organisational boundaries — between network, hardware, platform and product teams
Go deep when the hardest problems demand it — into the code, the network, the customer use case. You are hands-on.
Drive the technical work end to end: shape the vision, define high- and low-level design, then work alongside the teams delivering it
Raise the bar of the engineers around you through mentorship, design review and hiring
Operate what you build. You'll take part in day 2 operations and the on-call rotation, because the fastest feedback loop between design and our customer runs through the pager
Serve as the senior technical voice with our largest customers on mission-critical projects, and carry what you learn there back into Lambda's roadmap
Identify new opportunities to delight our customers, like novel new ways to improve availability or performance or even developing new products.
You
8+ years in relevant domains like cloud computing, systems engineering, and large-scale network infrastructure
Experience of design, build and operation of production large scale Data Center or Cloud networks
Experience building distributed network systems and services at scale. Experience of design, build and operation of Tier 1 software defined networking services
Have led through implementation and launch of large production-scale software services projects
Functionally decompose complex problems into simple, straight-forward solutions.
Fully and completely understand system inter-dependencies and limitations.
Possess expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices.
Have experience with cloud providers networking (such as AWS, GCP, OCI)
Excellent communicator both written and verbal. You leverage high quality written artifacts to inform high quality decision making and get approval on problems and solution opportunities
Nice to Have
Knowledge of HPC/AI networking: RoCEv2 and/or InfiniBand (congestion control, virtual lanes, partitions), GPUDirect RDMA, and the behaviour of collective communication at scale
Experience with the network characteristics of large distributed training workloads
Experience with software defined networking
Familiarity with network monitoring and telemetry
General awareness and ability to go deep in datacenter, backbone, internet protocols and technology
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
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.