Frontend Software Engineer

San Francisco, California, United States

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$255,000 – $405,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI Computing, Software Development, Cloud ComputingIndustries

Requirements

Candidates should possess 8-10 years of professional experience as a frontend engineer, ideally in fast-paced product environments, and a strong understanding of user-centric design principles including color theory, typography, and layout hierarchy. They must be proficient in HTML5, CSS3, JavaScript, and modern frameworks such as React, Angular, or Vue.js, along with the ability to innovate through iteration and utilize data insight.

Responsibilities

The Frontend Software Engineer will build responsive and feature-rich React applications to manage customer AI computing resources, ensuring performance and scalability across desktop and mobile platforms. They will translate designs into interactive UIs, optimize applications for speed and usability, create robust communication architectures, and collaborate with cross-functional teams to gather requirements and deliver high-quality solutions. Additionally, they will develop maintainable, reusable components within a design system, participate in code reviews, and contribute to frontend architecture decisions, as well as build integrations with marketing tools for user analytics and tracking.

Skills

HTML5

CSS3

JavaScript

React

Angular

Vue.js

User-Centric Design

Color Theory

Typography

Layout Hierarchy

Cross-Functional Collaboration

Prototyping

Data Insights

Performance Optimization

Responsive Design

API Integration

Project Management

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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