Infrastructure Engineer (Storage)

Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.

Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.

Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.

Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.

Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.

Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.

 

What We're Looking For

Lightning AI is seeking a  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.

This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company 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 — $220,000 USD

Benefits and Perks

We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success:

Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.

Meaningful Equity: RSUs that give employees a stake in the company's long-term success.

Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).

Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.

Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.

Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments.

Professional Development: Annual learning and development allowance to support your professional growth.

Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.

Sabbatical Program: Four weeks of paid sabbatical leave after four years of service.

Flexible Work: Flexible schedules and a hybrid work model for our office-based teams.

In-Office Meals: Complimentary meals at our office hubs.

Benefits may vary by location, team, and role.

 

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.

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