Who We Are

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.

Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.

We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by 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

Lightning AI is seeking a Senior Storage Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.

You will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads. You’ll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Storage Systems & Infrastructure

Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph)
Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads
Troubleshoot complex storage and data path issues across hardware and software layers
Optimize storage performance to support high-throughput, low-latency AI training and inference workloads

Automation & Tooling

Build and maintain automation for provisioning, managing, and monitoring storage infrastructure
Develop Python-based tools and workflows to reduce manual operational overhead
Improve lifecycle management of storage clusters, from deployment through maintenance and scaling

Systems & Operations

Manage and operate Linux-based systems in production, including bare-metal environments
Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution
Support capacity planning, utilization tracking, and forecasting for storage systems
Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability

Cross-Functional Collaboration

Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform
Contribute to design discussions around new infrastructure deployments and scaling strategies
Help define best practices for operating storage systems in high-performance computing environments

What You'll Need

Required Qualifications

5+ years of experience in infrastructure engineering, systems engineering, or related roles
Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar)
Strong Linux systems experience in production environments
Proficiency in Python or similar scripting/programming languages for automation
Experience working with bare-metal infrastructure and hardware-oriented systems
Ability to debug complex issues across system boundaries (storage, OS, hardware, networking)
Experience with storage networking protocols (e.g., NFS or similar)
Experience with capacity planning, monitoring, and performance tuning

Ideal Experience

Experience with VAST storage systems in production environments
Experience operating S3-compatible object storage at scale
Data center operations experience, including working with physical hardware
Familiarity with AI/ML or HPC workloads and their storage requirements
Background in high-performance or low-latency distributed systems
Familiarity with high-performance data transfer technologies (e.g., RDMA, GPU Direct Storage)
Experience supporting GPU-based workloads or large-scale compute clusters

Compensation

We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.

The anticipated annual base salary range for this role is:

$180,000-$200,000 USD

Benefits and Perks

We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success. Benefits may vary by location, team, and role.

Benefits include:

Comprehensive medical, dental and vision coverage (U.S.); Private medical and dental insurance (U.K.)
Retirement and financial wellness support (U.S.); Pension contribution (U.K.)
Generous paid time off, plus holidays
Paid parental leave
Professional development support
Wellness and work-from-home stipends
Flexible work environment

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.

Infrastructure Engineer (Storage)

Job description