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The Software Engineer will develop a discrete event simulation platform for lab workflows, enhance scheduling, and ensure reproducibility. Responsibilities include architecting the platform, building APIs, and collaborating with Robotics and Scheduling teams.

Lead verification & validation and software quality for autonomous lab robotics. Build Python test automation (unit, API, UI), hardware-in-the-loop and simulation-based tests, integrate suites into CI/CD, define V&V/test plans mapping requirements to coverage, diagnose nondeterminism/flakiness, and manage reproducible test data and fixtures across software-hardware boundaries.

Design and build backend and data systems for autonomous labs: scheduling (Temporal workflows), digital-twin modeling, data pipelines (Flyte), S3 lakehouse and PostgreSQL modeling, capacity planning services, and operate services on AWS EKS with Docker, Terraform, and CI/CD for scale and reliability.

Lead UX research and human-factors design for autonomous lab and robotics software. Conduct contextual inquiry, task analysis, and usability testing; design high-density operational and SCADA-style displays; prototype in Figma; define human-in-the-loop workflows; translate research into engineering-ready specs and design-system contributions; champion accessibility and operator trust in AI-driven automation.

As a Senior Software Engineer, you will design APIs, manage database architecture, optimize performance, and collaborate with cross-functional teams to support the Data Platform Team's backend solutions.

The Principal ML Engineer will design and scale ML infrastructure for scientific discovery, collaborating with AI scientists to enhance model training and deployment processes.

The Staff DevOps Engineer will design and implement infrastructure for cloud and Kubernetes environments, ensuring reliable software delivery and collaborating across teams.

Design and implement high-performance UI and APIs, manage database architecture, develop applications, and ensure system scalability and optimization while collaborating with scientists and engineers.

As Commercial Counsel, you will draft and negotiate contracts, provide legal counsel on AI and science, and build scalable legal systems.

Collaborate with teams to design and build UI and APIs, manage database architecture, and optimize performance for lab integration and scientific workflows.