Lightning AI

Frontend Engineer

San Francisco, California, United States

$120,000 – $250,000Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Software DevelopmentIndustries

Requirements

Candidates should possess a Bachelor's degree in Computer Science or a related field, and demonstrate at least 3 years of experience in frontend development, with a strong proficiency in React and Redux. Experience with modern JavaScript frameworks and a solid understanding of software engineering principles are essential.

Responsibilities

The Frontend Engineer will be responsible for writing readable, testable, and efficient code in React and Redux to develop and scale the Lightning AI platform’s UI and frontend infrastructure, collaborating with engineering and product leaders to deliver new features, improve system stability, and increase overall performance. They will also evaluate, strengthen, and document technical architecture, tools, and processes, champion software quality through automation and continuous delivery, and proactively reduce technical debt, while mentoring and coaching other engineers.

Skills

React
Redux
System Design
Problem-Solving
Collaboration
Software Quality
Automation
Continuous Delivery
Technical Debt Reduction
Frontend Development

Lightning AI

AI development platform for coding and deployment

About Lightning AI

Lightning AI provides a platform for developing artificial intelligence applications, supporting users throughout the entire AI lifecycle from initial ideas to final deployment. The platform is accessible via web browsers, allowing developers and data scientists to easily code, prototype, and train AI models using GPUs without needing extensive setup. It operates on a subscription model, offering a cloud-based AI Studio that functions like a virtual laptop with persistent storage and environments. This setup enables users to code on CPUs, debug on GPUs, and scale their projects across multiple nodes. Key features of the platform include tools like PyTorch Lightning, Fabric, Lit-GPT, and torchmetrics, which help in optimizing and scaling AI models. Lightning AI aims to provide a user-friendly and comprehensive solution for both enterprises and individual developers looking to enhance their AI development capabilities.

New York City, New YorkHeadquarters
2015Year Founded
$105.6MTotal Funding
LATE_VCCompany Stage
AI & Machine LearningIndustries
51-200Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Flexible Paid Time Off
Paid Family Leave
Phone/Internet Stipend
Home Office Stipend
Professional Development Budget
Gym Membership
Mental Health Support
Stock Options

Risks

Open-source models like Dolly and Alpaca challenge Lightning AI's proprietary offerings.
Rapid AI development may outpace Lightning AI's innovation capabilities.
Dependence on AWS could affect cost structure if service terms change.

Differentiation

Lightning AI offers a comprehensive AI lifecycle platform from ideation to deployment.
The platform's integration with AWS Marketplace simplifies enterprise procurement processes.
PyTorch Lightning's popularity supports Lightning AI's open-source framework approach.

Upsides

Recent $50M funding round indicates strong market confidence in Lightning AI.
Thunder compiler speeds up AI model training, reducing costs significantly.
Collaboration with AWS enhances AI model performance using cutting-edge hardware.

Land your dream remote job 3x faster with AI