In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.
If you'd like to build the world's best deep learning cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
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Build software for training models across hundreds of GPUs interconnected with state-of-the-art networking fabric
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Build core cloud features like VMs, VPCs, firewalls, distributed file systems within our data centers
Qualifications
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8+ years of experience implementing business-critical product features from conception to launch using Python
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8+ years of experience contributing to the architecture and design of resilient, large scale distributed systems
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Strong understanding of public cloud features (e.g. SDN, block storage, distributed file systems, identity management)
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Strong understanding of Linux (e.g. networking, process management, security, virtualization, systemd).
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Strong engineering background - EECS preferred, Mathematics, Software Engineering, Physics
You will be successful in this role if you
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Have led and taken full ownership over large, ambiguous, cross team projects from conception to production
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Enjoy moving fast and making a large business impact
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Value working on a team of high performers that hold each other accountable
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Are a self-starter, curious, and not afraid to ask when in doubt
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Are a quick learner and enjoy learning new technologies
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Value working on a low ego team that emphasizes strong communication, collaboration, and getting to the right answer as a team
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Care deeply about well-tested code
Salary Range Information
Based on market data and other factors, the salary range for this position is $185,000-$280,000. 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
- We offer generous cash & equity compensation
- Investors include US Innovative Technology, Gradient Ventures, Mercato Partners, SVB
- 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 350+, and growing fast
- Health, dental, and vision coverage for you and your dependents
- Commuter/Work from home stipends for select roles
- 401k Plan with 2% company match
- 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.
Top Skills
What We Do
Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.
