Alembic

You'll architect and operate the global network and reliability layer behind one of the world's fastest private supercomputers, powering **distributed compute** and **ML workloads**. You'll own infrastructure from design to incident management, with real influence over **architecture decisions** and the chance to work with cutting-edge NVIDIA technologies.

You'll build and automate infrastructure for **data pipelines**, **ML workloads**, and **real-time analytics** to scale our platform with reliability at the core. Your work directly improves system reliability, developer experience, and operational efficiency. This role offers visibility across the full stack and ownership of mission-critical systems.

You'll **design and execute field studies** proving the value of AI solutions for Fortune 500 marketers. You'll lead research implementations, mentor junior scientists, and drive scalable methodologies. This role offers **early-stage equity** and a chance to work with **elite enterprise clients**.

You'll build production backend services for a **GPU-resident distributed data platform** serving Fortune 500 clients. Your core impact is making causal, graph-based AI systems fast and reliable in production. This role offers the chance to work on **novel infrastructure** that few companies are attempting.

You'll work on code-level IP harvesting and build the **causal moat** for a **supercomputing AI platform**. You'll protect causal inference breakthroughs and **SNN architectures** while embedded with engineers.

You'll solve hard mathematical problems in marketing attribution through algorithmic innovation and production-quality implementation. You'll design novel approaches and implement them as production systems for **Fortune 100 companies**. This role combines deep technical expertise with real-world impact, shipping code that influences multimillion-dollar decisions.

You'll partner with engineers and data scientists to build, automate, and maintain **scalable infrastructure** powering real-time analytics and ML workloads. Your core impact will be improving system reliability and performance through **automation and observability**. This is a high-impact role with visibility across the entire stack.