Lightning AI

HQ
New York
Total Offices: 2
50 Total Employees
Year Founded: 2019
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Lightning AI Benefits Overview

Compensation + BenefitsCompany CultureWork-Life Balance + WellbeingCareer Growth + Development

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers company equity

Provides home-office stipend for remote employees

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Provides an onsite Mother's Room

Company Culture

Provides commuter benefits

Some meals provided

Provides free snacks and drinks

Utilizes a flexible work schedule

Only two days/week in office.

Utilizes a hybrid work model

Has a highly diverse management team

Open office floor plan to encourage communication and collaboration

Established employee awards to honor work and contributions

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers fitness stipend

Provides paid holidays

Offers a flexible time off policy

Offers sabbatical leave

Utilizes company-wide vacation

Career Growth + Development

Promote from within

Recently posted jobs

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Lightning AI

Senior Backend Engineer, Managed Services

2 Days AgoSaved
Hybrid
3 Locations
Artificial Intelligence • Machine Learning • Software
Build and operate backend services, control planes, and automation for Lightning AI’s managed Kubernetes and Slurm infrastructure. Develop distributed systems for cluster provisioning, lifecycle management, scheduling, observability, reliability, and scalability across large-scale GPU environments. Diagnose complex production issues and collaborate with infrastructure, AI, and platform engineering teams. Contribute to architecture, technical design, mentoring, engineering practices, and on-call operations.
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Lightning AI

Senior Software Engineer

2 Days AgoSaved
Hybrid
Seattle, WA, USA
Artificial Intelligence • Machine Learning • Software
Designs and implements microservices-based platform services, RESTful APIs, backend systems, infrastructure automation, and cloud integrations. Responsibilities include architecture planning, monitoring and alerting, production troubleshooting, disaster recovery, performance optimization, code reviews, mentoring, and sprint planning. The role requires extensive experience with backend and distributed systems, cloud platforms, Kubernetes, microservices, programming languages, infrastructure as code, networking, security, and scalability.
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Lightning AI

Senior Network Engineer - InfiniBand / UFM

2 Days AgoSaved
Remote or Hybrid
3 Locations
Artificial Intelligence • Machine Learning • Software
Designs, deploys, automates, and operates large-scale NVIDIA InfiniBand fabrics for GPU clusters. Manages UFM, switches, firmware, congestion control, routing, QoS, observability, troubleshooting, capacity planning, and incident response. Collaborates with AI platform, GPU infrastructure, storage, and systems teams to build reliable AI Factory environments.
see all jobs at Lightning AI