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Senior engineer secures AI platforms, inference systems, and ML pipelines by threat modeling, code reviews, and automation while collaborating with ML and platform teams.
Own the product vision and roadmap for AI experimentation and post-training tooling, defining workflows for model evaluation, fine-tuning, and deployment while collaborating with engineers and customers to build a cohesive developer experience.
Build and maintain data pipelines and warehouses for an AI platform company, ensuring clean, reliable data for product, ML, and ops teams using modern ETL tools and SQL.
Leads cross-functional programs for AI infrastructure, coordinating network, storage, datacenter, and hardware initiatives to ensure scalable, production-ready systems for Lightning AI's PyTorch Lightning platform.
Senior Operations Specialist at Lightning AI builds AI-powered automations and scalable systems to unblock teams and streamline workflows across the company.
Maintains and troubleshoots hardware, power, and network systems in a high-performance computing data center, ensuring 24/7 uptime and infrastructure reliability.
Designs user experiences for an AI development platform, collaborating with engineers and researchers to create intuitive interfaces for ML tools and workflows.
Senior Backend Engineer building and operating control planes for managed Kubernetes and Slurm clusters that power a large-scale AI cloud platform.
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…
Build backend infrastructure for AI agent orchestration, workflow management, and tool execution to enable production-ready agentic applications.
Build and scale backend services for Lightning AI’s platform, including APIs, authentication, and multi-tenancy systems, using Go, Python, or Rust.
Build backend systems for AI agent orchestration, distributed training, and experiment management using Go/Python/Rust, enabling scalable AI development workflows.
Build and analyze AI platform usage data to guide product decisions, sales strategy, and operational improvements for a PyTorch Lightning-based AI training platform.
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