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Lightning AI

Fullstack Engineer

Sorry, this job was removed at 03:14 p.m. (PST) on Thursday, May 08, 2025
Hybrid
Palo Alto, CA, USA
123K-232K Annually
Hybrid
Palo Alto, CA, USA
123K-232K Annually

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Who We Are

Lightning AI is the company reimagining the way AI is built. After creating and releasing PyTorch Lightning in 2019, Lightning AI was launched to reshape the development of artificial intelligence products for commercial and academic use.

We are on a mission to simplify AI development, making it accessible to everyone—from solo researchers to large enterprises. By removing the complexity of building and deploying AI tools, we empower innovators to focus on solving real-world problems. Our platform is built to scale with the latest AI advancements while staying intuitive and adaptable, so you can bring your ideas to life.

We have offices in New York City, Palo Alto, and London and are backed by investors such as Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.

Our Values

  • Move Fast: We act with speed and precision, breaking down big challenges into achievable steps.

  • Focus: We complete one goal at a time with care, collaborating as a team to deliver features with precision.

  • Balance: Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best.

  • Craftsmanship: Innovation through excellence. Every detail matters, and we take pride in mastering our craft.

  • Minimal: Simplicity drives our innovation. We eliminate complexity through discipline and focus on what truly matters.

What We're Looking For

We are looking for a Fullstack Engineer to work on developing and scaling the Lightning AI platform from the frontend, CLI, and API, to billing, security, and integrations.

We want someone who can take ownership of key features and drive development from end to end while collaborating with a super-smart team of engineers, product managers, and designers. Here, you’ll build from proof of concept to release with a focus on speed, quality, and iteration.

This is an opportunity to create groundbreaking technology that will transform the machine learning ecosystem!
You will be joining the Red Squad and report to our Director of Product. This is a hybrid role based in our Palo Alto office with in-office requirements of 2 days per week. The salary range for this role is $120,000 - $250,000.

What You’ll Do

  • Write readable/testable/efficient code in React and either Python or 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 while using your experience to set the technical direction for large projects.
  • 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 to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

  • Proficiency in React and Go (Golang). Strong understanding of software engineering principles and lifecycle.
  • Hands-on experience as a full stack engineer in a SaaS technology company
  • Proven ability to take ownership of key features and drive end-to-end development
  • Communication and collaboration with engineers, product managers, and designers
  • Ability to operate in high uncertainty and rapidly changing environments
Benefits and Perks

We offer competitive base salaries and stock options with a 25% one year cliff and monthly vesting thereafter. For our international employees, we work with Velocity Global to pay you in your local currency and provide equitable benefits across the globe.

In the US, we offer:

  • Medical, dental and vision
  • Life and AD&D insurance 
  • Flexible paid time off plus 1 week of winter closure
  • Generous paid family leave benefits
  • $500 monthly meal reimbursement, including groceries & food delivery services
  • $1,000 home office stipend
  • $1,000 annual learning & development stipend 
  • 100% Citibike membership (NYC only)
  • $45/month gym membership 
  • Additional various medical and mental health services

At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Lightning AI Palo Alto, California, USA Office

955 Alma St, Suite B, Palo Alto, CA, United States, 94301

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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