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 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 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
- 8+ 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
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.
