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.
What You’ll Do
Join a team of industry-leading experts and work alongside the best minds in the field
Collaborate with top-tier professionals who are shaping the future of the industry
Build core cloud features like Virtualization, SDN, Storage, VPCs for training AI/ML models across thousands of GPUs interconnected with state-of-the-art networking fabric
You
Linux – 10+ years developing Linux based production systems. Strong understanding of Linux kernel internals (e.g. Memory Management, Process Scheduling, I/O Scheduling, Socket Buffers, Virtualization/KVM, Live Migration, eBPF, perf).
Cloud – 10+ years developing core public cloud internals (e.g. Kernel, Device Drivers, Virtualization, KVM, QEMU, Software Defined Networking, Security, Fleet Health and Performance Monitoring).
Architecture – Ability to architect a resilient, large-scale, distributed system from a blank sheet of paper. Have a deep understanding of x86_64, aarch64 and GPUs.
Programming Languages - Strong C background. Rust, Python and Go are nice to have. Minimum of 10 years implementing business-critical systems, from initial conception to successful launch.
Leadership – 5+ years as a technical lead for a single or multiple teams
Mentorship – 5+ years of mentoring junior employees
Education – computer science, electrical engineering, mathematics, or physics preferred
You will be successful in this role if you have
Have led and taken full ownership over large, ambiguous, cross team projects from conception to production
Enjoy moving fast and making a large business impact
Value working on a team of high performers that hold each other accountable
Are a self-starter, curious, and not afraid to ask when in doubt
Are a quick learner, enjoy learning new technologies and methodologies
Value working on a low ego team that emphasizes strong communication, collaboration, and getting to the right answer as a team
Care deeply about well-tested code
Salary Range Information
Based on market data and other factors, the salary range for this position is $215,000-$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 (USA employees)
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.