Frontend Engineer at Lightning AI

San Francisco, California, United States

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

Skills

Key technologies and capabilities for this role

ReactReduxSystem DesignProblem-SolvingCollaborationSoftware QualityAutomationContinuous DeliveryTechnical Debt ReductionFrontend Development

Questions & Answers

Common questions about this position

What is the salary range for the Frontend Engineer position?

The salary range is $120,000 - $250,000.

Is this a remote position or does it require office work?

This is a hybrid role with 2 days per week required in the Palo Alto office.

What skills are required for this Frontend Engineer role?

Required skills include experience with React and Redux, ability to take ownership of key features, strong collaboration skills, understanding of software quality and automation, and experience with system design and problem-solving.

What are Lightning AI's company values?

The company values are Move Fast, Focus, Balance, Craftsmanship, and Minimal.

How do I apply for this position and what makes a strong application?

Submit your resume and cover letter to apply. Strong candidates will demonstrate experience with React and Redux, ownership of features, collaboration skills, and expertise in software quality and system design.

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.

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