1,719,125open jobs
102,305companies
258,655added this week
Browse all
Salary
$180k – $220k per year
Location
Remote (United States, United Kingdom)
Seniority
Senior · 5+ years exp
Visa
No sponsorship (stated in the posting)

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Aug 31, 2026. Lightning AI scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Lightning AI is an artificial intelligence technology company headquartered in New York City, New York, and established in 2019. The organization provides a unified platform and the open-source PyTorch Lightning framework to facilitate the building, training, and deployment of machine learning models. It operates globally by offering scalable cloud infrastructure and development tools to individual researchers and enterprise teams across various industries.

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.

The Way We Work

The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:

  • 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.

About the Role

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

Our Infrastructure Engineering team builds the software systems that operate and manage Lightning AI’s large-scale GPU and bare-metal infrastructure. We develop services, APIs, tooling, and automation that bridge the gap between our physical infrastructure and the systems our customers depend on for AI/ML training, inference, and HPC workloads.

In this role, you will build production software and automation that support infrastructure throughout its lifecycle, from provisioning and bring-up through monitoring, maintenance, and decommissioning. You will design systems that enable engineers and software to interact programmatically with thousands of servers, storage systems, and high-performance networks, reducing manual operations and making infrastructure management more reliable, repeatable, and scalable.

This is a software-first infrastructure role that combines strong software engineering with Linux systems and hardware-aware infrastructure automation. You will work closely with teams across Infrastructure, Networking, Data Center Operations, and Platform Engineering to bring new capacity online and continuously improve how we operate our infrastructure at scale.

This role may be fully remote within the U.S., or hybrid out of one of our office hubs (NYC, SF, Seattle, or London), with occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You Will Do

Infrastructure Software & Automation

  • Design, build, and operate production services, APIs, tooling, and automation for managing large-scale bare-metal and GPU infrastructure
  • Build and extend software systems that support infrastructure provisioning, configuration, monitoring, and lifecycle management
  • Develop reliable automation that reduces manual operational work and improves the consistency and scalability of infrastructure management
  • Build tools and interfaces that enable engineers and other systems to interact programmatically with physical infrastructure

Provisioning & Lifecycle Management

  • Build and extend systems for server discovery, provisioning, configuration, validation, and lifecycle management
  • Automate infrastructure bring-up and capacity deployment across large fleets of compute systems
  • Integrate software and automation with hardware management and provisioning systems
  • Improve tooling and workflows for managing infrastructure throughout its production lifecycle

Reliability & Observability

  • Build telemetry, logging, and observability capabilities that provide visibility into the health of our infrastructure
  • Develop tools and automation to identify, diagnose, and respond to infrastructure and hardware issues
  • Translate recurring operational issues and hardware failure modes into improvements to software, tooling, and automation
  • Improve the reliability and scalability of infrastructure operations as the fleet grows

Architecture & Collaboration

  • Partner with Network, Infrastructure Operations, Data Center, Platform Engineering, and other teams to define requirements and build new infrastructure capabilities
  • Participate in architectural discussions and help define the technical direction of Lightning AI’s infrastructure software
  • Make pragmatic design decisions that balance reliability, scalability, simplicity, and speed of execution
  • Write clear design documents and technical documentation and contribute to engineering best practices

Who You Are

Required Qualifications

  • 5+ years of professional software engineering, infrastructure engineering, or related experience
  • Strong software engineering fundamentals and experience building production backend systems in Python or similar object-oriented programming languages
  • Strong experience with Linux in production environments
  • Experience building APIs, tooling, or automation for managing infrastructure at scale
  • Familiarity with containerization and orchestration concepts
  • Understanding of HPC and bare-metal infrastructure fundamentals, including provisioning and out-of-band management
  • Ability to navigate ambiguity and make pragmatic architecture decisions while building for long-term reliability and scale
  • Experience working in a startup or other fast-paced environment with a high degree of ownership and autonomy

Ideal Experience

  • Experience with bare-metal hardware troubleshooting and provisioning, including technologies such as PXE/iPXE, BMC, Redfish, or IPMI, particularly with Dell hardware
  • Experience with GPU servers, either in bare-metal environments or under virtualization
  • Experience with network switches, routers, and firewalls, particularly SONiC switches, Palo Alto firewalls, or Juniper Networks
  • Experience with high-performance storage systems, particularly VAST
  • Experience supporting AI/ML or HPC infrastructure at scale

 

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,719,125 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

DevOps
Similar stack
Same company
London
$155k – $190k per year • Remote (United States) • 8+ years exp
Python
TypeScript
AI/ML
AI Agents
LLM
DevOps
Terraform
GitHub Actions
Datadog
CI/CD
AWS
Platform Engineering
AWS Fargate
AWS Lambda
IAM
Amazon ECS
Apply
Remote (Spain) • Full-Time • 3+ years exp • Spain
PHP
PHP
Laravel
Symfony
Databases
MySQL
DevOps
Rest API
Jenkins
Git
AWS
Docker
Linux
Unix
Apply
≈ $81k – $193k per year (Estimated) • Remote (location not specified)
DevOps
Azure
Kubernetes
Azure AKS
Apply
$100k – $137k per year • Remote (United States, PT hours) • Public Trust • 5+ years exp • High School Diploma
Python
SQL
Bash
Databases
PostgreSQL
NATS
RabbitMQ
ActiveMQ
Apache Kafka
DevOps
Ansible
Red Hat
Prometheus
CI/CD
Git
AWS
Grafana
Nagios
GitLab
Linux
TCP/IP
DNS
Apply
$100k – $119k per year • Remote (United States, PT hours) • Public Trust • 3+ years exp • High School Diploma
Python
Go
SQL
Ruby
C++
Bash
Databases
PostgreSQL
NATS
ActiveMQ
DevOps
Ansible
Red Hat
AWS CDK
Prometheus
CI/CD
Git
AWS
Grafana
Nagios
CentOS Stream
GitLab
Linux
TCP/IP
DNS
Apply
≈ $52k – $153k per year (Estimated) • Hybrid • Contractor • Bachelor's Degree • Israel
Python
C++
MATLAB
AI/ML
TPU
DevOps
HPC
Chips/EDA
Cadence Sigrity
Ansys SIwave
Management
Agile
Apply
$169k – $216k per year • Equity • In office • 5+ years exp • Bachelor's Degree • El Segundo
Python
Rust
C++
DevOps
RTOS
Linux
Apply
≈ $109k – $193k per year (Estimated) • Hybrid • London
Python
Databases
Databricks
AI/ML
Model Context Protocol
MLFlow
Fine-tuning
SciPy
AI Agents
Pandas
NumPy
RAG
A2A
Machine Learning
DevOps
GitHub
Management
Agile
Apply
Hybrid • London
Python
TypeScript
Databases
PostgreSQL
Redis
pgvector
Pinecone
FAISS
MS SQL
Azure Cosmos DB
AI/ML
Copilot
Cursor
LangGraph
LangChain
Unstructured.io
Claude Code
LlamaIndex
Model Context Protocol
Prompt Engineering
Function Calling
Chain-of-Thought
AI Agents
DeepEval
Langfuse
LangSmith
Ragas
LLM
RAG
Structured Outputs
LLM Guardrails
Agentic Workflows
Tool Use
Frontend
GraphQL
DevOps
Rest API
Azure DevOps
Azure
Git
AWS
Docker
GitHub
Analytics
Power BI
QlikSense
ETL/ELT
Management
Draw.io
BPMN
Apply
≈ $88k – $181k per year (Estimated) • In office • Full-Time • 8+ years exp • Bachelor's Degree • Boulder
AI/ML
Supervision
DevOps
Zabbix
Azure
Nagios
Linux
DNS
DHCP
VPN
Wi-Fi
BGP
OSPF
Cybersecurity
Nmap
Nessus
Management
Service Desk
Apply
$154k – $170k per year • Equity • Hybrid • London
Python
Go
Bash
AI/ML
PyTorch Lightning
PyTorch
InfiniBand
NVLink
DevOps
Ansible
SLURM
GitOps
Kubernetes
Platform Engineering
Configuration Management
HPC
Linux
Apply
≈ $48k – $118k per year (Estimated) • Equity • Remote (Singapore, UTC+8 hours) • Singapore
Python
Go
Bash
AI/ML
PyTorch Lightning
PyTorch
InfiniBand
NVLink
DevOps
Ansible
SLURM
GitOps
Kubernetes
Platform Engineering
Configuration Management
HPC
Linux
Apply
$175k – $200k per year • Equity • Remote (United States) • New York • San Francisco • Seattle
Python
Go
Bash
AI/ML
PyTorch Lightning
PyTorch
InfiniBand
NVLink
DevOps
Ansible
SLURM
GitOps
Kubernetes
Platform Engineering
Configuration Management
HPC
Linux
Apply
$180k – $220k per year • Equity • Remote (United Kingdom, United States) • 5+ years exp • London • New York • San Francisco • Seattle
Python
AI/ML
PyTorch Lightning
PyTorch
DevOps
Amazon S3
HPC
Linux
Apply
$155k – $220k per year • Equity • Hybrid • 10+ years exp
AI/ML
PyTorch Lightning
PyTorch
DevOps
SLURM
Kubernetes
Apply
≈ $77k – $174k per year (Estimated) • Hybrid • Contractor • London
Marketing
YouTube
Apply
≈ $120k – $220k per year (Estimated) • In office • Full-Time • London
AI/ML
AI Agents
LLM
Human-in-the-Loop
Apply
Area Sales Manager 1 day ago
Remote (United Kingdom) • Full-Time • London
Marketing
Salesforce
Apply
≈ $46k – $108k per year (Estimated) • In office • London
Apply
≈ $94k – $172k per year (Estimated) • In office • Full-Time • 2+ years exp • PhD • London
Apex
Apex
Salesforce Data Cloud
AI/ML
Claude Code
AI Agents
Agentforce
Apply
See all jobs
This is one of many
1,719,125 more open roles from verified company boards, updated every day.