Senior Software Engineer, Lambda

Kernel/Virtualization

$225-405k

+ Equity compensation

Python

Linux

Rust

Senior and Expert level

San Francisco Bay Area

More information about location

4+ days a week in office

Deep learning infrastructure company

Be an early applicant

Deep learning infrastructure company

201-500 employees

B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing

Be an early applicant

$225-405k

+ Equity compensation

Python

Linux

Rust

Senior and Expert level

San Francisco Bay Area

More information about location

4+ days a week in office

201-500 employees

B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing

Company mission

To accelerate human progress through computation.

Job

Company

Role

Who you are

Linux - 8+ 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 - 8+ 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 8 years implementing business-critical systems, from initial conception to successful launch
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

Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance
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

Top investors

26% employee growth in 12 months

Glassdoor (3.5)

Company

Funding (last 2 of 5 rounds)

Feb 2025

$480m

SERIES D

Feb 2024

$320m

SERIES C

Total funding: $863m

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 HQ

Dogpatch, San Francisco, CA

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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