Jobs at Schrödinger, Inc.

Own the infrastructure powering machine learning and AI agent platforms across company and customer cloud environments. Build GitOps-driven deployments, secure multi-tenant Kubernetes sandboxes, hardened CI/CD pipelines, restricted-egress partner environments, and reliable GPU training and inference systems. Collaborate with ML engineers and scientists while implementing observability, SLOs, cost controls, and on-call operations across GCP and AWS.

Manage AI and machine learning products for materials science, including customer demonstrations, roadmap planning, product expansion, ML model development, and leadership of the materials science ML team. The role requires deep expertise in materials science and ML, software-industry experience, customer engagement, public presentations, and global travel.

Develop and automate infrastructure systems that build, test, deploy, and monitor development and production environments. Design secure internal infrastructure services using Terraform, GitHub Actions, Python, and Bash. Troubleshoot infrastructure issues, manage containerized web services, support Linux systems administration, and implement robust deployment automation and continuous integration solutions.

Lead global enterprise portfolio accounts in electronics, semiconductor, and display industries. Develop go-to-market strategies, multi-year account plans, renewals, expansions, and software adoption initiatives. Coordinate account managers, education specialists, application scientists, product teams, marketing, and R&D. Translate scientific and technical capabilities into business value for executive stakeholders while providing customer and market insight to product leadership.

Build and maintain cloud infrastructure supporting large-scale scientific testing. Automate build, deployment, and testing workflows using infrastructure-as-code and continuous integration tools, migrate legacy infrastructure, and provide a stable platform for scientific software developers. The role requires at least two years of infrastructure development experience, AWS expertise, Linux familiarity, strong automation skills, and effective communication.

Design, implement, and maintain scalable, secure cloud solutions (primarily GCP) using Infrastructure as Code, CI/CD, automation, and cross-functional collaboration to support R&D workloads and compliance requirements.

The Vice President of Marketing will develop strategies for demand generation, oversee lead generation, and optimize the buyer's journey while collaborating across teams.