Senior Software Engineer, Lambda

Billing and Identity

$380-445k

+ Equity

SQL

Python

Hive

Git

Golang

DynamoDB

Senior and Expert level

San Francisco Bay Area

Office located in Fremont St, SF

Deep learning infrastructure company

Be an early applicant

Deep learning infrastructure company

501-1000 employees

B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing

Be an early applicant

$380-445k

+ Equity

SQL

Python

Hive

Git

Golang

DynamoDB

Senior and Expert level

San Francisco Bay Area

Office located in Fremont St, SF

501-1000 employees

B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing

Company mission

To make compute as ubiquitous as electricity and give everyone in America the power of superintelligence.

Job

Company

Role

Who you are

Master’s degree in Computer Science or a related field plus 5 years of experience as a Software Engineer or related occupation
Must have at least 1 year of prior work experience in each of the following:
Industry-standard coding languages, including Python and GoLang
Databases, Storage & Analysis, including SQL, Hive, Presto, DynamoDB, and S3
Software development tools and revision control systems, including VIM, GIT, and shell scripting
Building highly-scalable performant solutions
Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
Designing scalable distributed systems with established partition tolerance, consistency, and availability guarantees

What the job involves

Architect, design, and develop complex distributed systems and computer applications for processing massive amounts of data and usage events
Design and build report interfaces and data feeds for downstream financial systems to ensure financial accuracy
Create consumer software products for billing and pricing features using Golang and Python programming languages by iteratively taking technical design requirements from the design team and product requirements from the product teams
Responsible for improving software quality through thoughtful code reviews, appropriate software testing, proper rollout, monitoring, and proactive changes
Establish best practices for enabling continuous integrations deployments a week and setup a clean process to rollback changes as needed
Track system and software key performance indicators (KPIs), revenue impact, response times, and latency to make data-driven recommendations for continuous improvement

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.

After a successful 2025, the company is now looking at an initial public offering in the second half of 2026. This comes after the company signed a multi-billion-dollar contract with Microsoft to provide the hyperscaler with access to its GPUs, and it's also believed to have signed a $1.5B lease-back deal with Nvidia. This, coupled with significant funding put Lambda in a very good position for future growth.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

26% employee growth in 12 months

Glassdoor (3.6)

Company

Funding (last 2 of 6 rounds)

Nov 2025

$1.5bn

SERIES E

Feb 2025

$480m

SERIES D

Total funding: $2.4bn

Company benefits

Health, dental vision
401k match
5 sick days and 12 paid holidays
Flexible PTO
Paid parental, medical, and caregiver leave

Company HQ

Financial District, San Francisco, CA

Leadership

Michael Balaban

(Co-Founder & CTO)

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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