Lightning AI· London, England, United Kingdom; New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States· greenhouse· birt 21.05.2026
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.
Who We look for
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.
What We Are Looking For
We are seeking experienced Platform Engineers to partner directly with customers to architect, build, and deploy production integrations. In this role, you will work across AI workflow implementation, full-stack feature development, security, and billing integration, to ensure your partner’s success. You will own communication of customer requirements, scoping of bespoke problems into generalizable solutions, and expanding the Lightning Platform to fulfill your customer’s needs.
This role sits at the intersection of software engineering, research engineering, AI infrastructure, product thinking, and customer engagement. You’ll work within Lightning’s internal product and engineering organizations to deliver production-ready AI systems that help customers realize value quickly and scale with confidence.
This is a hands-on engineering role that combines software development, AI infrastructure, technical customer engagement, and product thinking. Successful candidates will be highly technical, customer-oriented builders who thrive in fast-moving environments and enjoy solving ambiguous, real-world AI systems problems.
This role is based in one of our hubs (New York City, San Francisco, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites.
What You'll Do
Partner directly with customers to design, implement, and deploy end-to-end AI systems and workflows on Lightning’s platform
Translate vague customer objectives into clear technical specifications, proof-of-concepts, and scalable production implementations
Own customer technical engagements end-to-end, from early discovery and architecture through deployment, monitoring, and expansion
Develop and maintain production-grade software systems and services using modern programming languages, with a strong preference for Python
Build reliable, observable systems with strong attention to latency, throughput, quality, scalability, and cost efficiency in production environments
Debug and optimize AI systems across inference infrastructure, model behavior, APIs, and distributed workloads to improve performance and reliability
Work closely with customer engineering teams throughout the full lifecycle of AI deployments, including technical discovery, implementation, deployment, and scaling
Collaborate cross-functionally with Lightning’s product and engineering teams to improve platform capabilities, influence roadmap priorities, and identify opportunities for reusable product improvements
Navigate ambiguity with sound technical judgment, making thoughtful tradeoffs and selecting the right tools and approaches without introducing unnecessary complexity
Demonstrate strong ownership and accountability in execution, with a commitment to delivering high-quality outcomes for both customers and internal teams
What You’ll Need
Required Qualifications
Strong software engineering experience building production full-stack applications, including modern frontend frameworks such as React and TypeScript, and backend services in Python, Go, or similar programming languages.
Experience working directly with customers in highly technical environments, such as Forward Deployed Engineering, Solutions Engineering, Applied AI Engineering, Technical Product Engineering, or related roles
Familiarity with AI/ML pipelines and the lifecycle of model development, evaluation, deployment, and monitoring
Experience deploying and operating production AI/ML systems in cloud or distributed environments
Familiarity with modern AI infrastructure and tooling such as Docker, Kubernetes, APIs, model serving systems, or distributed inference workloads
Strong communication and collaboration skills, especially when working through complex technical topics with customers, engineers, and cross-functional stakeholders
Ability to translate business needs into technical solutions and drive projects from initial concept through production delivery
Ability to execute effectively in ambiguous, fast-moving, high-growth environments
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
Nice-to-Haves
Experience building, deploying, or optimizing large-scale AI/ML systems in production environments
Experience with modern AI stacks and tooling such as vLLM, TensorRT, Ray, LangGraph, vector databases, or workflow orchestration systems
Familiarity with inference optimization, distributed systems, or GPU-accelerated workloads
Startup experience or experience operating in highly cross-functional environments
Track record of rapidly shipping proof-of-concepts and production systems while maintaining strong engineering quality
Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, AI, or a related technical field
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:
$120,000 — $250,000 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.