Director of Legal Operations

🏢 Summary: Senior Operations Specialist role focused on building AI-powered operational solutions, leading cross-functional projects, and improving internal workflows in a high-growth AI environment. The position combines operations, automation, analytics, and project ownership to support scalable company growth. 🗂️ Requirements: 4+ years experience in operations, consulting, or high-ownership roles, End-to-end project ownership experience, Experience diagnosing problems and driving cross-functional change, Ability to build and deploy AI agents or multi-step automations, Experience with APIs and SaaS platforms, Experience with workflow automation tools, Experience with AI coding tools, Strong analytical skills, Experience in high-growth startup environments 📃 Skills: Python, SQL, APIs, Zapier, Make, n8n, Airflow, Claude, Cursor, BigQuery, Looker, dbt, Fivetran 🏢 Description: 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. What We're Looking for Lightning AI is looking for a Senior Operations Specialist to sit within our centralized Operations Team. The role of the Ops team at Lightning is to enable Lightning to operate with greater velocity, efficiency, connectivity, and context. There are three motions this role will take: - Classic operator: understand problems with analytical rigor and empathy-driven intuition, and deliver high-impact solutions that unblock growth. - Project owner: build plans, align cross-functional teams, and drive results through communication and impact tracking. - Solutions builder: code and build solutions from scratch, iterate based on feedback, and ensure sustainability. AI is central to the role through agents, workflows, connections, and automation. Who You Are You thrive in high-agency environments with minimal direction. You are skilled at cross-functional collaboration, solving root problems sustainably, and operating with reliability and low ego. What You'll Do - Take end-to-end ownership of projects that unblock company growth. - Partner with teams across the organization to identify friction and build scalable AI-powered internal tools. - Collaborate with embedded operators across PeopleOps, SalesOps, LegalOps, and other teams. - Support central Ops initiatives such as Business Health, Internal Communications, and Company Event Planning. - Maintain internal Ops documentation and organizational context. - Solve ambiguous, time-sensitive operational problems and build durable systems. - Measure impact using a data-driven approach and continuously iterate. Required Qualifications - 4+ years of experience in operations, consulting, or high-ownership roles. - Demonstrated end-to-end project ownership. - Experience diagnosing problems and driving change across stakeholder groups. - Ability to build and deploy AI agents or multi-step automations. - Experience with third-party APIs, SaaS platforms, workflow automation tools, and AI coding tools. - Strong analytical thinking. - Experience in high-growth startup environments. Nice to Haves - Proficiency in SQL and/or Python for data extraction, analysis, and scripting. - Familiarity with the modern data stack including BigQuery, Looker, dbt, and Fivetran. - Experience in product-led or developer-tool companies. - Experience in centralized Ops or Center of Excellence models. Compensation The anticipated annual base salary range for this role is $140,000—$160,000 USD. Eligible employees may also receive discretionary bonuses, equity, and comprehensive benefits. Benefits and Perks - Comprehensive medical, dental, and vision coverage - Retirement and financial wellness support - Generous paid time off and holidays - Paid parental leave - Professional development support - Wellness and work-from-home stipends - Flexible work environment Lightning AI is committed to fostering an inclusive and diverse workplace and providing equal employment opportunities.

🏢 Summary: Backend Engineer role focused on building and scaling the Lightning AI platform across APIs, CLI, billing, security, and integrations using Go. The position involves end-to-end feature ownership, improving system performance and reliability, and driving technical direction in a cloud-based SaaS environment. The role emphasizes software quality, automation, and scalable architecture for AI-driven products. 🗂️ Requirements: Extensive experience with Go development, Experience building and scaling APIs and backend systems, Experience with CLI development, Experience with billing systems integration, Experience implementing security protocols, Experience with cloud platforms (AWS, GCP, or Azure), Experience with containerization technologies, Knowledge of system design and scalable architectures, Experience with test automation and continuous delivery, Experience working in SaaS environments 📃 Skills: Go, Golang, API, CLI, AWS, GCP, Azure, Docker, Kubernetes, SaaS, CI/CD, Testing, Cloud, Architecture, Security 🏢 Description: 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 We are looking for a Backend Engineer to work on developing and scaling the Lightning AI platform from the frontend, CLI, and API, to billing, security, and integrations. We want someone who can take ownership of key features and drive development from end to end while collaborating with a super-smart team of engineers, product managers, and designers. Here, you'll build from proof of concept to release with a focus on speed, quality, and iteration. This is an opportunity to create groundbreaking technology that will transform the machine-learning ecosystem!You will be joining the Blue Squad and report to our Director of Engineering. This is a hybrid role based in our Bay Area office with in-office requirements of 2 days per week. The salary range for this role is $120,000 - $250,000. What you'll do Write readable/testable/efficient code in Go (Golang). Master our technology stack to deliver new features, improve system stability, and increase overall performance. Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects. Evaluate, strengthen, and document technical architecture, tools, and processes. Champion software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt. Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow. What you'll need Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential. Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus. Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage. Proven ability to take ownership of key features and drive end-to-end development Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production. Hands-on experience as a backend or product engineer in a SaaS technology company Communication and collaboration with engineers, product managers, and designers Ability to operate in high uncertainty and rapidly changing environments Benefits and Perks We offer competitive base salaries and equity with a 25% one year cliff and monthly vesting thereafter. For our international employees, we work with our EOR to pay you in your local currency and provide equitable benefits across the globe. In the US, we offer: Medical, dental and vision Life and AD&D insurance Flexible paid time off including winter closure Paid family leave benefits $500 one time home office stipend $1,000 annual learning & development stipend 100% Citibike membership (NYC only) $45/month gym membership Additional various medical and mental health services 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.

🏢 Summary: Backend Engineer role focused on building and scaling the Lightning AI platform across APIs, CLI, billing, security, and integrations, with end-to-end ownership of features from concept to production. The position emphasizes high-quality Go development, system performance, and scalable cloud architecture in a fast-paced AI environment. 🗂️ Requirements: Extensive experience developing in Go, Experience building and scaling APIs and backend systems, Experience with cloud platforms (AWS, GCP, or Azure), Experience with containerization technologies, Strong knowledge of system design and scalable architectures, Experience implementing test automation and continuous delivery, Hands-on experience in a SaaS product environment, Ability to own features end-to-end and drive technical decisions 📃 Skills: Go, Golang, AWS, GCP, Azure, Docker, Kubernetes, API, CLI, SaaS 🏢 Description: 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 We are looking for a Backend Engineer to work on developing and scaling the Lightning AI platform from the frontend, CLI, and API, to billing, security, and integrations. We want someone who can take ownership of key features and drive development from end to end while collaborating with a super-smart team of engineers, product managers, and designers. Here, you'll build from proof of concept to release with a focus on speed, quality, and iteration. This is an opportunity to create groundbreaking technology that will transform the machine-learning ecosystem!You will be joining the Blue Squad and report to our Director of Engineering. This is a hybrid role based in our Bay Area office with in-office requirements of 2 days per week. The salary range for this role is $120,000 - $250,000. What you'll do Write readable/testable/efficient code in Go (Golang). Master our technology stack to deliver new features, improve system stability, and increase overall performance. Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects. Evaluate, strengthen, and document technical architecture, tools, and processes. Champion software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt. Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow. What you'll need Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential. Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus. Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage. Proven ability to take ownership of key features and drive end-to-end development Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production. Hands-on experience as a backend or product engineer in a SaaS technology company Communication and collaboration with engineers, product managers, and designers Ability to operate in high uncertainty and rapidly changing environments Benefits and Perks We offer competitive base salaries and equity with a 25% one year cliff and monthly vesting thereafter. For our international employees, we work with our EOR to pay you in your local currency and provide equitable benefits across the globe. In the US, we offer: Medical, dental and vision Life and AD&D insurance Flexible paid time off including winter closure Paid family leave benefits $500 one time home office stipend $1,000 annual learning & development stipend 100% Citibike membership (NYC only) $45/month gym membership Additional various medical and mental health services 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.

🏢 Summary: Fullstack Engineer role focused on building and scaling the Lightning AI platform across frontend, CLI, APIs, billing, security, and integrations. The position involves end-to-end feature ownership, improving system performance and stability, and driving technical direction in a fast-paced SaaS environment. The role combines hands-on development with architectural improvements and continuous delivery practices. 🗂️ Requirements: Proficiency in React, Proficiency in Go (Golang), Strong understanding of software engineering principles and lifecycle, Hands-on fullstack experience in a SaaS company, Ability to design and deliver end-to-end features, Experience with system design and technical architecture, Experience implementing automation and continuous delivery practices 📃 Skills: React, Go, Golang, JavaScript, Python, APIs, CLI, SaaS, CI/CD 🏢 Description: 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 We are looking for a Fullstack Engineer to work on developing and scaling the Lightning AI platform from the frontend, CLI, and API, to billing, security, and integrations. We want someone who can take ownership of key features and drive development from end to end while collaborating with a super-smart team of engineers, product managers, and designers. Here, you'll build from proof of concept to release with a focus on speed, quality, and iteration. This is an opportunity to create groundbreaking technology that will transform the machine learning ecosystem!This is a hybrid role based in our San Francisco office with in-office requirements of 2 days per week. The salary range for this role is $120,000 - $250,000. What You'll Do Write readable/testable/efficient code in React and either Python or Go (Golang). Master our technology stack to deliver new features, improve system stability, and increase overall performance. Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects. Evaluate, strengthen, and document technical architecture, tools, and processes. Champion software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt. Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow. What You'll Need Proficiency in React and Go (Golang). Strong understanding of software engineering principles and lifecycle. Hands-on experience as a full stack engineer in a SaaS technology company Proven ability to take ownership of key features and drive end-to-end development Communication and collaboration with engineers, product managers, and designers Ability to operate in high uncertainty and rapidly changing environments Benefits and Perks We offer competitive base salaries and equity with a 25% one year cliff and monthly vesting thereafter. For our international employees, we work with our EOR to pay you in your local currency and provide equitable benefits across the globe. In the US, we offer: Medical, dental and vision Life and AD&D insurance Flexible paid time off including winter closure Paid family leave benefits $500 one time home office stipend $1,000 annual learning & development stipend 100% Citibike membership (NYC only) $45/month gym membership Additional various medical and mental health services 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.

🏢 Summary: Senior Technical Program Manager role focused on leading large-scale infrastructure programs across compute, networking, storage, datacenter operations, and platform rollouts. The position involves coordinating cross-functional teams, managing dependencies and risks, and driving execution for infrastructure expansion and hardware readiness initiatives in a fast-paced AI infrastructure environment. 🗂️ Requirements: 8+ years of Technical Program Management experience, Experience in infrastructure, cloud, or distributed systems environments, Experience managing network, compute, storage, and datacenter infrastructure programs, Program planning and dependency management expertise, Risk mitigation and cross-functional coordination skills, Experience managing multiple technical workstreams simultaneously, Strong communication skills with engineering and operations stakeholders, Ability to operate in ambiguous and fast-moving environments 📃 Skills: Python, PyTorch, GPU, Networking, Storage, Datacenter, Cloud, Infrastructure, Observability, Security 🏢 Description: 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. What You'll Do We are seeking an experienced Senior Technical Program Manager to lead complex, cross-functional programs that span compute, network, storage, observability, and datacenter operations. You will drive delivery of high impact initiatives, define clear milestones and dependencies, and partner closely with engineering, operations, and leadership to ensure predictable execution in a fast moving technical environment. Responsibilities: - Drive execution across multiple infrastructure programs, including network builds and upgrades, storage initiatives, datacenter builds and expansions, and hardware/platform rollouts - Own program planning, milestone definition, and dependency management across parallel workstreams - Partner with Infra Engineering, Network, DC Operations, Hardware, Security, and Platform teams to align scope, timelines, and delivery - Coordinate execution across initiatives such as: - Network expansions, upgrades, and large-scale migrations - Datacenter expansions and capacity growth - Hardware bring-up and infrastructure readiness - Next-generation platform rollouts (e.g. new GPU architectures), ensuring end-to-end readiness across infrastructure layers - Drive cross-functional alignment to ensure infrastructure is ready for deployment, bring-up, and customer usage - Manage risks, blockers, and dependencies across engineering and operations teams - Provide clear, concise program updates to leadership, highlighting progress, risks, and mitigation plans - Operate effectively in a fast-moving, ambiguous environment with shifting priorities - Contribute to improving execution frameworks, tooling, and program visibility across the infrastructure organization Who You Are - 8+ years of experience as a Technical Program Manager in infrastructure, cloud, or distributed systems environments - Strong experience driving execution across multiple technical workstreams (network, compute, storage, datacenter infrastructure) - Proven ability to coordinate complex, cross-functional programs without needing to be the deepest domain expert in every area - Experience operating across multiple infrastructure domains rather than a single area of specialization - Comfortable operating in ambiguous environments with evolving priorities and limited process - Strong communicator who can align engineering, operations, and leadership stakeholders - Skilled in program planning, dependency management, and risk mitigation - Able to manage multiple programs simultaneously while maintaining execution quality Ideal Experiences - Experience supporting infrastructure scale-out, hardware deployment, or capacity expansion programs - Familiarity with GPU/compute platforms, network infrastructure, storage systems, or datacenter operations - Experience coordinating infrastructure readiness for new hardware or platform rollouts - Background working in fast-paced or high-growth environments - Experience partnering across hardware, network, and platform/software teams Compensation The anticipated annual base salary range for this role is: $160,000—$220,000 USD Benefits and Perks 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.

🏢 Summary: Senior Technical Program Manager role focused on leading large-scale infrastructure programs across compute, networking, storage, datacenter operations, and hardware platform rollouts. The position involves coordinating cross-functional teams, managing execution and dependencies, and ensuring infrastructure readiness for AI platform deployments in a fast-paced environment. 🗂️ Requirements: 8+ years of Technical Program Management experience, Experience in infrastructure, cloud, or distributed systems environments, Experience managing network, compute, storage, and datacenter infrastructure programs, Program planning and dependency management skills, Risk mitigation and cross-functional coordination experience, Ability to manage multiple technical programs simultaneously, Experience operating in ambiguous, fast-moving environments, Strong communication with engineering and operations stakeholders 📃 Skills: Python, PyTorch, GPU, Networking, Storage, Datacenter, Infrastructure, Cloud, Observability, Security 🏢 Description: 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. What You'll Do We are seeking an experienced Senior Technical Program Manager to lead complex, cross-functional programs that span compute, network, storage, observability, and datacenter operations. You will drive delivery of high impact initiatives, define clear milestones and dependencies, and partner closely with engineering, operations, and leadership to ensure predictable execution in a fast moving technical environment. Responsibilities: - Drive execution across multiple infrastructure programs, including network builds and upgrades, storage initiatives, datacenter builds and expansions, and hardware/platform rollouts - Own program planning, milestone definition, and dependency management across parallel workstreams - Partner with Infra Engineering, Network, DC Operations, Hardware, Security, and Platform teams to align scope, timelines, and delivery - Coordinate execution across initiatives such as: - Network expansions, upgrades, and large-scale migrations - Datacenter expansions and capacity growth - Hardware bring-up and infrastructure readiness - Next-generation platform rollouts (e.g. new GPU architectures), ensuring end-to-end readiness across infrastructure layers - Drive cross-functional alignment to ensure infrastructure is ready for deployment, bring-up, and customer usage - Manage risks, blockers, and dependencies across engineering and operations teams - Provide clear, concise program updates to leadership, highlighting progress, risks, and mitigation plans - Operate effectively in a fast-moving, ambiguous environment with shifting priorities - Contribute to improving execution frameworks, tooling, and program visibility across the infrastructure organization Who You Are - 8+ years of experience as a Technical Program Manager in infrastructure, cloud, or distributed systems environments - Strong experience driving execution across multiple technical workstreams (network, compute, storage, datacenter infrastructure) - Proven ability to coordinate complex, cross-functional programs without needing to be the deepest domain expert in every area - Experience operating across multiple infrastructure domains rather than a single area of specialization - Comfortable operating in ambiguous environments with evolving priorities and limited process - Strong communicator who can align engineering, operations, and leadership stakeholders - Skilled in program planning, dependency management, and risk mitigation - Able to manage multiple programs simultaneously while maintaining execution quality Ideal Experiences - Experience supporting infrastructure scale-out, hardware deployment, or capacity expansion programs - Familiarity with GPU/compute platforms, network infrastructure, storage systems, or datacenter operations - Experience coordinating infrastructure readiness for new hardware or platform rollouts - Background working in fast-paced or high-growth environments - Experience partnering across hardware, network, and platform/software teams Compensation The anticipated annual base salary range for this role is: $160,000—$220,000 USD Benefits and Perks 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.

🏢 Summary: Frontend Engineer role focused on building and scaling the UI and frontend infrastructure of an AI platform using React and Redux. The position involves end-to-end feature ownership, improving system stability and performance, and driving technical direction for large frontend projects. This hybrid role requires collaboration with cross-functional teams to deliver high-quality SaaS product features. 🗂️ Requirements: Proficiency in React, Proficiency in JavaScript, Proficiency in TypeScript, Strong understanding of software engineering principles and lifecycle, Hands-on frontend experience in a SaaS company, Experience with end-to-end feature development, Ability to define and improve frontend architecture, Experience implementing automated testing and continuous delivery 📃 Skills: React, Redux, JavaScript, TypeScript, SaaS, CI/CD, Testing, Frontend 🏢 Description: 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 We are looking for a frontend engineer to help us develop and scale the UI and frontend infrastructure of the Lightning AI platform. We want someone who can take ownership of key features and drive development from end to end while collaborating with a super-smart team of engineers, product managers, and designers. Here, you'll build from proof of concept to release with a focus on speed, quality, and iteration. With over 10,000 organizations building with Lightning, you'll have a unique opportunity to impact how the world builds and deploys AI to production. This is a hybrid role based in our San Francisco office with in-office requirements of 2 days per week. The salary range for this role is $120,000 - $250,000. What You'll Do Write readable/testable/efficient code in React and Redux and master our technology stack to deliver new features, improve system stability, and increase overall performance. Partner with engineering and product leaders on developing the user interface and frontend infrastructure while using your experience to set the technical direction for large projects. Evaluate, strengthen, and document technical architecture, tools, and processes. Champion software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt. Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment in which each engineer can grow. What You'll Need Proficiency in React, javascript and typescript. Strong understanding of software engineering principles and lifecycle. Hands-on experience as a frontend engineer in a SaaS technology company Proven ability to take ownership of key features and drive end-to-end development Communication and collaboration with engineers, product managers, and designers Ability to operate in high uncertainty and rapidly changing environments Benefits and Perks We offer competitive base salaries and equity with a 25% one year cliff and monthly vesting thereafter. For our international employees, we work with our EOR to pay you in your local currency and provide equitable benefits across the globe. In the US, we offer: Medical, dental and vision Life and AD&D insurance Flexible paid time off including winter closure Paid family leave benefits $500 one time home office stipend $1,000 annual learning & development stipend 100% Citibike membership (NYC only) $45/month gym membership Additional various medical and mental health services 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.

🏢 Summary: Frontend Engineer role focused on building and scaling the UI and frontend infrastructure of an AI platform, driving end-to-end feature development from concept to production. The position emphasizes high-quality React-based development, technical ownership, and improving performance, stability, and delivery processes in a SaaS environment. Hybrid role based in San Francisco with impact on AI tools used by thousands of organizations. 🗂️ Requirements: Proficiency in React, Proficiency in JavaScript, Proficiency in TypeScript, Strong understanding of software engineering principles and lifecycle, Hands-on frontend engineering experience in a SaaS company, Experience delivering end-to-end frontend features, Ability to collaborate with engineers, product managers, and designers, Ability to work in high-uncertainty, fast-changing environments 📃 Skills: React, Redux, JavaScript, TypeScript, SaaS, CI/CD, Automation 🏢 Description: 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 We are looking for a frontend engineer to help us develop and scale the UI and frontend infrastructure of the Lightning AI platform. We want someone who can take ownership of key features and drive development from end to end while collaborating with a super-smart team of engineers, product managers, and designers. Here, you'll build from proof of concept to release with a focus on speed, quality, and iteration. With over 10,000 organizations building with Lightning, you'll have a unique opportunity to impact how the world builds and deploys AI to production. This is a hybrid role based in our San Francisco office with in-office requirements of 2 days per week. The salary range for this role is $120,000 - $250,000. What You'll Do Write readable/testable/efficient code in React and Redux and master our technology stack to deliver new features, improve system stability, and increase overall performance. Partner with engineering and product leaders on developing the user interface and frontend infrastructure while using your experience to set the technical direction for large projects. Evaluate, strengthen, and document technical architecture, tools, and processes. Champion software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt. Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment in which each engineer can grow. What You'll Need Proficiency in React, javascript and typescript. Strong understanding of software engineering principles and lifecycle. Hands-on experience as a frontend engineer in a SaaS technology company Proven ability to take ownership of key features and drive end-to-end development Communication and collaboration with engineers, product managers, and designers Ability to operate in high uncertainty and rapidly changing environments Benefits and Perks We offer competitive base salaries and equity with a 25% one year cliff and monthly vesting thereafter. For our international employees, we work with our EOR to pay you in your local currency and provide equitable benefits across the globe. In the US, we offer: Medical, dental and vision Life and AD&D insurance Flexible paid time off including winter closure Paid family leave benefits $500 one time home office stipend $1,000 annual learning & development stipend 100% Citibike membership (NYC only) $45/month gym membership Additional various medical and mental health services 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.

🏢 Summary: Senior Network Engineer role focused on designing, deploying, automating, and operating large-scale NVIDIA InfiniBand networking infrastructure for AI GPU clusters. The position involves managing high-performance AI fabrics, optimizing distributed AI workloads, and building scalable, highly available AI Factory environments using modern data center networking technologies. 🗂️ Requirements: 7+ years data center networking experience, 3+ years supporting NVIDIA InfiniBand environments, Hands-on experience with NVIDIA UFM Enterprise, Experience with Quantum and Quantum-2 InfiniBand switches, Strong knowledge of InfiniBand Architecture, Linux administration experience, Automation experience with Python and Ansible, Understanding of Layer 2 and Layer 3 networking, Experience with BGP, Experience with EVPN, Experience with VXLAN, Experience troubleshooting with tcpdump, Experience troubleshooting with Wireshark, Experience troubleshooting with ibdiagnet, Experience with spine-leaf architectures, Experience operating HPC or GPU-dense environments 📃 Skills: InfiniBand, UFM, NCCL, RoCEv2, Quantum, Linux, Ubuntu, Python, Ansible, Git, REST, Prometheus, Grafana, BGP, EVPN, VXLAN, tcpdump, Wireshark, ibdiagnet, MPI, GPUDirect, RDMA, Terraform, Netris 🏢 Description: 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 Role We are seeking an experienced Senior Network Engineer (InfiniBand / UFM) to design, deploy, automate, and operate next-generation AI Factory networking infrastructure supporting large-scale GPU clusters. This role is responsible for building and maintaining high-performance NVIDIA Quantum InfiniBand fabrics that power AI training and inference environments utilizing NVIDIA UFM, NCCL, RoCEv2, and modern data center technologies. The ideal candidate has deep expertise in InfiniBand networking, NVIDIA Unified Fabric Manager (UFM), large-scale GPU deployments, Linux networking, automation, and troubleshooting distributed AI workloads. What You'll Do - Design, deploy, and maintain large-scale NVIDIA InfiniBand fabrics supporting AI/ML GPU clusters. - Deploy and administer NVIDIA Unified Fabric Manager (UFM) Enterprise for monitoring, provisioning, telemetry, and fabric health. - Configure and optimize NVIDIA Quantum and Quantum-2 InfiniBand switches. - Troubleshoot fabric performance issues impacting NCCL, MPI, GPUDirect RDMA, and AI training jobs. - Implement and validate fat-tree, Dragonfly+, Clos, and spine-leaf network architectures. - Perform firmware lifecycle management for InfiniBand switches, adapters (HCAs), and UFM infrastructure. - Optimize congestion control, adaptive routing, QoS, and traffic engineering for high-performance GPU communication. - Work closely with AI platform, GPU infrastructure, storage, and systems engineering teams to deploy scalable AI Factory environments. - Automate network provisioning using Python, Ansible, Git, REST APIs, and Infrastructure-as-Code methodologies. - Monitor network health using UFM telemetry, Prometheus, Grafana, and other observability platforms. - Support high availability, maintenance windows, incident response, root cause analysis, and capacity planning. - Participate in architecture reviews and define networking standards for AI infrastructure. Required Qualifications - 7+ years of data center networking experience. - 3+ years supporting NVIDIA InfiniBand environments. - Hands-on experience with NVIDIA UFM Enterprise. - Experience deploying and operating Quantum and Quantum-2 InfiniBand switches. - Strong understanding of: - InfiniBand Architecture - Subnet Manager (SM) - Adaptive Routing - Congestion Control - Partition Keys (PKeys) - LIDs - Queue Pairs (QP) - Virtual Lanes (VL) - Service Levels (SL) - Strong Linux administration experience (Ubuntu). - Experience with automation using Python and Ansible. - Deep understanding of Layer 2 and Layer 3 networking. - Experience with BGP, EVPN, VXLAN, and modern spine-leaf architectures. - Experience with packet captures and troubleshooting using tcpdump, Wireshark, and ibdiagnet tools. - Excellent troubleshooting and communication skills. What You Bring - 10+ years of experience in large-scale data center networking - Deep expertise in spine-leaf architectures and L3 fabrics - Strong experience with BGP, EVPN, VXLAN - Experience operating high-performance computing (HPC) or GPU-dense environments - Experience designing networks for hyperscalers, neoclouds, or high-scale SaaS infrastructure - Strong automation background (Python, Ansible, Terraform, or similar) - Experience with network observability tooling and telemetry pipelines - Proven ability to design systems that scale to thousands of nodes - Strong documentation and architectural communication skills Nice to Have - Experience with Netris and Terraform. - Experience with multi-region backbone design - Exposure to bare-metal provisioning systems - Experience working in high-growth infrastructure startups Why This Role Matters The network is the foundation of distributed AI training. Performance bottlenecks at the fabric layer directly impact customer workloads. This role will shape how Voltage Park scales from tens of thousands of GPUs to significantly beyond — ensuring deterministic performance, predictable scaling, and enterprise-grade reliability. If you want to architect infrastructure that powers frontier AI research, this is the role. 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, the total rewards package for eligible roles includes a discretionary bonus, equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $170,000—$210,000 USD Benefits and Perks 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 Lightning AI is committed to fostering an inclusive and diverse workplace and provides equal employment opportunities to all employees and applicants.

🏢 Summary: Senior Network Engineer role focused on designing, deploying, automating, and operating large-scale NVIDIA InfiniBand networking infrastructure for AI GPU clusters. The position involves managing high-performance AI networking fabrics, optimizing distributed AI workloads, and building scalable data center architectures using modern networking and automation technologies. The offer includes competitive compensation, equity, and comprehensive benefits. 🗂️ Requirements: 7+ years data center networking experience, 3+ years supporting NVIDIA InfiniBand environments, Hands-on experience with NVIDIA UFM Enterprise, Experience with Quantum and Quantum-2 InfiniBand switches, Knowledge of InfiniBand Architecture, Knowledge of Subnet Manager, Knowledge of Adaptive Routing, Knowledge of Congestion Control, Knowledge of PKeys, Knowledge of LIDs, Knowledge of Queue Pairs, Knowledge of Virtual Lanes, Knowledge of Service Levels, Linux administration experience, Python automation experience, Ansible automation experience, Layer 2 networking knowledge, Layer 3 networking knowledge, Experience with BGP, Experience with EVPN, Experience with VXLAN, Experience with spine-leaf architectures, Experience with tcpdump, Experience with Wireshark, Experience with ibdiagnet, Troubleshooting skills, Communication skills 📃 Skills: InfiniBand, UFM, NCCL, RoCEv2, Linux, Ubuntu, Python, Ansible, Git, REST, Prometheus, Grafana, BGP, EVPN, VXLAN, tcpdump, Wireshark, ibdiagnet, MPI, GPUDirect, RDMA, Terraform, Netris 🏢 Description: 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. The Role We are seeking an experienced Senior Network Engineer (InfiniBand / UFM) to design, deploy, automate, and operate next-generation AI Factory networking infrastructure supporting large-scale GPU clusters. This role is responsible for building and maintaining high-performance NVIDIA Quantum InfiniBand fabrics that power AI training and inference environments utilizing NVIDIA UFM, NCCL, RoCEv2, and modern data center technologies. The ideal candidate has deep expertise in InfiniBand networking, NVIDIA Unified Fabric Manager (UFM), large-scale GPU deployments, Linux networking, automation, and troubleshooting distributed AI workloads. What You'll Do - Design, deploy, and maintain large-scale NVIDIA InfiniBand fabrics supporting AI/ML GPU clusters. - Deploy and administer NVIDIA Unified Fabric Manager (UFM) Enterprise for monitoring, provisioning, telemetry, and fabric health. - Configure and optimize NVIDIA Quantum and Quantum-2 InfiniBand switches. - Troubleshoot fabric performance issues impacting NCCL, MPI, GPUDirect RDMA, and AI training jobs. - Implement and validate fat-tree, Dragonfly+, Clos, and spine-leaf network architectures. - Perform firmware lifecycle management for InfiniBand switches, adapters (HCAs), and UFM infrastructure. - Optimize congestion control, adaptive routing, QoS, and traffic engineering for high-performance GPU communication. - Work closely with AI platform, GPU infrastructure, storage, and systems engineering teams to deploy scalable AI Factory environments. - Automate network provisioning using Python, Ansible, Git, REST APIs, and Infrastructure-as-Code methodologies. - Monitor network health using UFM telemetry, Prometheus, Grafana, and other observability platforms. - Support high availability, maintenance windows, incident response, root cause analysis, and capacity planning. - Participate in architecture reviews and define networking standards for AI infrastructure. Required Qualifications - 7+ years of data center networking experience. - 3+ years supporting NVIDIA InfiniBand environments. - Hands-on experience with NVIDIA UFM Enterprise. - Experience deploying and operating Quantum and Quantum-2 InfiniBand switches. - Strong understanding of: - InfiniBand Architecture - Subnet Manager (SM) - Adaptive Routing - Congestion Control - Partition Keys (PKeys) - LIDs - Queue Pairs (QP) - Virtual Lanes (VL) - Service Levels (SL) - Strong Linux administration experience (Ubuntu). - Experience with automation using Python and Ansible. - Deep understanding of Layer 2 and Layer 3 networking. - Experience with BGP, EVPN, VXLAN, and modern spine-leaf architectures. - Experience with packet captures and troubleshooting using tcpdump, Wireshark, and ibdiagnet tools. - Excellent troubleshooting and communication skills. What You Bring - 10+ years of experience in large-scale data center networking - Deep expertise in spine-leaf architectures and L3 fabrics - Strong experience with BGP, EVPN, VXLAN - Experience operating high-performance computing (HPC) or GPU-dense environments - Experience designing networks for hyperscalers, neoclouds, or high-scale SaaS infrastructure - Strong automation background (Python, Ansible, Terraform, or similar) - Experience with network observability tooling and telemetry pipelines - Proven ability to design systems that scale to thousands of nodes - Strong documentation and architectural communication skills Nice to Have - Experience with Netris and Terraform. - Experience with multi-region backbone design - Exposure to bare-metal provisioning systems - Experience working in high-growth infrastructure startups Why This Role Matters The network is the foundation of distributed AI training. Performance bottlenecks at the fabric layer directly impact customer workloads. This role will shape how Voltage Park scales from tens of thousands of GPUs to significantly beyond — ensuring deterministic performance, predictable scaling, and enterprise-grade reliability. If you want to architect infrastructure that powers frontier AI research, this is the role. Benefits and Perks 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.