Staff Software Engineer, Lambda
Compute
$215-280k
+ Equity
Deep learning infrastructure company
Be an early applicant
Deep learning infrastructure company
201-500 employees
Be an early applicant
$215-280k
+ Equity
201-500 employees
Company mission
To accelerate human progress through computation.
Role
Who you are
- 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
- 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
What the job involves
- If you'd like to build the world's best deep learning cloud, join us
- 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
Our take
Lambda is a leading provider of deep learning GPU cloud services and computing hardware, founded to aid in providing a solution to the difficult problem of teaching machines how to see and learn.
Their customers include Apple, Intel, Microsoft, Linkedin, and Fortune 500 companies like Microsoft and Amazon Research, so it's no coincidence that Lambda GPU Cloud ranks number three on a google search for 'GPU cloud', behind only NVIDIA and Google itself.
With investments from 1517, Gradient Ventures, Bloomberg Beta, and Razer, Lambda intends on using the capital to expand its cloud and software, engineering teams. As well as looking to ramp up more investments into its GPU cloud, the company is constantly working to improve its hardware products.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Feb 2024
$320m
SERIES C
Mar 2023
$44m
SERIES B
Total funding: $383m
Company benefits
- 100% remote team
- Healthcare, dental, vision, work-from-home Internet, and phone stipend.
- Vacation Plan: We offer flexible PTO to all team members as well as five sick days and twelve paid holidays each year.
- Paid Leave: Team members will receive financial security during some of life's more stressful moments, should they experience those. Offering paid parental leave, paid personal medical leave, and paid caregiver leave.
Company values
- Customers first: We seek to understand every aspect of what makes our customers tick. We focus on delivering amazing products to solve those problems and give our customers superpowers.
- Intellectual curiosity: We are always learning, diving deep, and going directly to the source.
- Humility: Everything goes smoother when work interactions are "low ego". Humility is important because admitting you don't know something is the first step to learning and improving.
- Speed: As a startup, speed of execution and the tightness of our feedback loops are two of the advantages we have over massive global companies.
Company HQ
Dogpatch, San Francisco, CA
Articles
Leadership
Michael Balaban
(Co-Founder)Graduating with a BS in Discrete Mathematics and Computer Science, Michael is experienced in software engineering and previously worked for Nextdoor as part of its infrastructure team.
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