Senior Software Engineer - Core Apps at Lambda

San Francisco, California, United States

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$225,000 – $445,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Machine Learning, Cloud ComputingIndustries

Requirements

Frontend Experience (6+ years)
Responsive web apps using TypeScript
Responsive web apps using React (or equivalent experience in Vue or Svelte)
Responsive web apps using HTML and modern CSS
Responsive web apps using Vite
Backend Experience (8+ years)
Business-critical services using Python, Unix/Command line
Business-critical services using Django or FastAPI
Relational databases like PostgreSQL or MySQL
CI/CD: Automation around testing and deployment
Reliability & Observability: Logging, alerting, and building highly available systems
Cloud Native Services: AWS, Okta, Cloudflare, etc

Responsibilities

Design and build intuitive, beautiful web interfaces for ML/AI cloud users
Integrate top-tier tooling, workflows, and models from the AI space
Own features end-to-end—from design to deployment to monitoring

Skills

Key technologies and capabilities for this role

TypeScriptReactPythonDjangoFastAPIPostgreSQLMySQLAWSOktaCloudflareKubernetesTerraformViteCI/CD

Questions & Answers

Common questions about this position

What is the salary range for this Senior Software Engineer position?

The annual salary range is $225,000-$445,000, with flexibility based on experience and qualifications.

Is this role remote or hybrid, and what's the office requirement?

This is a hybrid role requiring presence in the San Francisco office 4 days per week, with Tuesday designated as the work-from-home day.

What are the key required skills for this role?

Must-haves include 6+ years of frontend experience with TypeScript, React (or Vue/Svelte), HTML/CSS; 8+ years of backend experience with Python, Unix/Command line, Django/FastAPI, relational databases; plus CI/CD, reliability/observability, and cloud native services.

What benefits does Lambda offer?

Benefits include health, dental, and vision coverage for you and your dependents, wellness and commuter stipends for select roles, 401k plan with 2% company match for USA employees, and flexible paid time off.

Do I need to meet all qualifications to apply, and what does Lambda value?

You don’t need to meet all qualifications to apply; Lambda values a variety of backgrounds, experiences, and skills.

Lambda

Cloud-based GPU services for AI training

About Lambda

Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.

San Jose, CaliforniaHeadquarters

2012Year Founded

$372.6MTotal Funding

DEBTCompany Stage

AI & Machine LearningIndustries

201-500Employees

Risks

Nebius' holistic cloud platform challenges Lambda's market share in AI infrastructure.

AWS's 896-core instance may draw customers seeking high-performance cloud solutions.

Existential crisis in Hermes 3 model raises concerns about Lambda's AI model reliability.

Differentiation

Lambda offers cost-effective Inference API for AI model deployment without infrastructure maintenance.

Nvidia HGX H100 and Quantum-2 InfiniBand Clusters enhance Lambda's AI model training capabilities.

Lambda's Hermes 3 collaboration showcases advanced AI model development expertise.

Upsides

Inference API launch attracts enterprises seeking low-cost AI deployment solutions.

Nvidia HGX H100 clusters provide competitive edge in high-performance AI computing.

Strong AI cloud service growth indicates rising demand for Lambda's GPU offerings.

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