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 WorkThe 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.
The Training & Experimentation team at Lightning AI builds the platform that enables developers to experiment at scale and train their own intelligence. Whether customers are training foundation models, fine-tuning open-source models, launching distributed training jobs, or iterating on experiments, this team creates the infrastructure and developer experience that powers every stage of the AI lifecycle.
We're looking for a Senior Software Engineer to help design and scale the backend systems that make AI development faster, more reliable, and easier to use. You'll work across distributed training infrastructure, workload orchestration, experiment management, developer tooling, and platform APIs while partnering closely with our Managed Infrastructure, Core Platform, and Optimized Compute teams.
This is an opportunity to build systems that support real-world AI workloads at scale while shaping the developer experience used by researchers, startups, and enterprise AI teams around the world.
This role is based in one of our San Francisco, NYC, or London office hubs, 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
- Design and build backend services that power AI agent orchestration and execution.
- Develop scalable APIs and platform capabilities for tool use, workflow orchestration, memory, and state management.
- Build reliable infrastructure that enables long-running, distributed AI workflows.
- Partner with product, research, and platform engineering teams to bring new agent capabilities into production.
- Improve platform reliability, observability, and performance as customer workloads continue to scale.
- Evaluate and strengthen technical architecture, engineering processes, and developer tooling.
- Maintain high standards for software quality through testing, automation, continuous delivery, and proactive management of technical debt.
- Mentor engineers on system design, distributed systems, and backend engineering best practices
What You’ll Need
- Extensive experience building scalable backend systems using Go, Python, Rust, or similar languages.
- Strong understanding of distributed systems, asynchronous processing, APIs, and cloud-native application architecture.
- Experience designing and operating production services at scale.
- Hands-on experience building backend platforms, developer tools, or infrastructure products.
- Familiarity with cloud platforms such as AWS, GCP, or Azure and container technologies including Docker and Kubernetes.
- Proven ability to take ownership of large technical initiatives from architecture through production.
- Commitment to software quality, automated testing, observability, and continuous delivery.
- Strong communication skills and the ability to collaborate effectively across engineering, product, research, and design teams.
- Ability to thrive in fast-moving, ambiguous environments while balancing technical excellence with product impact.
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.
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.
Lightning AI London, England Office
50 Liverpool St, Suite 1.03, London, United Kingdom, EC2M 7PD
