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 an Observability Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own and evolve observability systems across large-scale, GPU-enabled bare-metal infrastructure. You’ll operate at the intersection of infrastructure, data, and product, building platforms for metrics, logs, traces, and alerting that power both internal operations and customer-facing visibility.

You will play a key role in productizing observability, enabling scalable, multi-tenant monitoring experiences while keeping pace with rapid infrastructure buildouts. This includes designing telemetry pipelines, improving signal quality, and delivering actionable insights that ensure reliability and transparency across our platform.

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

Observability Platform & Productization

Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
Drive the productization of observability capabilities for both internal teams and external customers
Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
Continuously improve observability systems to keep pace with rapid infrastructure buildouts

Telemetry & Data Pipelines

Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish
Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail, or similar

Alerting, Reliability & Insights

Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
Build automated insights and enable proactive detection, forecasting, and system health visibility at scale

Systems & Infrastructure Engineering

Contribute to broader infrastructure engineering projects beyond observability
Partner with infrastructure and platform teams to embed observability into core systems and workflows
Support large-scale, distributed systems across compute, networking, and storage environments

Cross-Functional Collaboration

Work closely with customer-facing teams to deliver external observability experiences
Collaborate with engineering, operations, and support teams to improve system transparency and reliability
Help define best practices for observability across the organization

What You’ll Need

Required Qualifications

5+ years of experience in infrastructure engineering, SRE, or observability-focused roles
Strong experience with monitoring systems such as Prometheus, Grafana, ELK, or VictoriaMetrics
Experience building and operating observability platforms at scale
Proficiency in Python, Go, or bash for automation and data integration
Familiarity with containerized environments and Kubernetes observability
Experience with streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent)
Experience with multi-tenant monitoring architectures
Strong written and verbal communication skills

Ideal Experience

Experience with GPU observability, particularly NVIDIA DCGM
Experience monitoring large-scale GPU or HPC clusters
Familiarity with InfiniBand fabric observability
Experience building customer-facing or productized infrastructure systems
Experience with correlation engines, RCA workflows, or predictive alerting systems
Broad exposure to infrastructure domains including networking, storage, and provisioning

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 (Observability)