Backend Engineer at Lightning AI

San Francisco, California, United States

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$120,000 – $250,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Machine Learning, TechnologyIndustries

Requirements

Proficiency in Go (Golang)
Experience developing and scaling backend systems
Ability to take ownership of features and drive them from concept to release
Strong collaboration skills and ability to work effectively with a diverse team (engineers, product managers, and designers)
Understanding of software quality, automation, continuous delivery, and technical debt reduction

Responsibilities

Write readable, testable, and efficient code in Go (Golang)
Master our technology stack to deliver new features, improve system stability, and increase overall performance
Partner with engineering and product leaders on developing the Lightning product
Evaluate, strengthen, and document technical architecture, tools, and processes
Champion software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt
Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving

Skills

Key technologies and capabilities for this role

GoGolangBackend SystemsSystem ScalingContinuous DeliveryAutomationSystem Design

Questions & Answers

Common questions about this position

What is the salary range for the Backend Engineer position?

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

Is this a remote position, or do I need to come into the office?

This is a hybrid role based in the Bay Area Office with a 2 days per week in-office requirement.

What skills are required for this Backend Engineer role?

Key requirements include proficiency in Go (Golang), experience developing and scaling backend systems, ability to take ownership of features, strong collaboration skills, and understanding of software quality, automation, continuous delivery, and technical debt reduction.

What are Lightning AI's company values?

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

What makes a strong candidate for this Backend Engineer position?

Strong candidates demonstrate proficiency in Go, experience scaling backend systems, ownership of features from concept to release, strong collaboration with diverse teams, and knowledge of software quality practices like automation and continuous delivery.

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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