Senior Machine Learning Infrastructure Engineer
Schrödinger11 hours ago
Base Salary
$110k - $160k/yr
Responsibilities
- Turn customer installations and upgrades into versioned, GitOps-driven releases using Helm, OpenTofu, and Argo CD with automated verification.
- Design isolation for multi-tenant AI-agent sandboxes using network policy, workload identity, runtime sandboxing, and egress controls.
- Secure CI/CD and the software supply chain with keyless authentication, ephemeral runners, and pinned, signed images.
- Build and operate locked-down partner environments with private networking, default-deny egress, just-in-time access, and audit logging.
- Operate reliable and cost-efficient GPU training and inference systems with observability, SLOs, and on-call support.
- Collaborate closely with machine-learning engineers and scientists across internal and customer environments.
Requirements
- At least six years of infrastructure, platform, or site reliability engineering experience.
- In-depth understanding of Kubernetes operations beyond basic deployment.
- Robust experience with Google Cloud Platform and some familiarity with Amazon Web Services.
- Experience writing Terraform or OpenTofu and Helm and shipping with GitOps.
- Strong Python and shell scripting skills.
- Experience with GPU workloads and model serving using vLLM or Knative on Kubernetes is preferred.
- Experience sandboxing untrusted code with gVisor, Kata Containers, or Cilium is preferred.
- Experience deploying software into customer-owned or restricted-egress clouds is preferred.
- Experience with Argo Workflows or batch/HPC scheduling is preferred.
- Experience in regulated environments such as SOC 2, ISO 27001, or GxP is preferred.
- Experience operating LLM or agent platforms is preferred.
- Strong communication skills and a security-minded approach involving least privilege, managed secrets, and segmented networks.
Benefits
- Competitive base salary, equity-based compensation, healthcare with dental and vision, a 401(k), pre-tax commuter benefits, flexible scheduling, parental leave, and over a month of paid vacation.
- The company has a relaxed but engaged culture and organizes company-wide events.
- New York is home to the largest office, with teams located around the world.
Tech Stack
Categories
About Schrödinger
Schrödinger builds molecular modeling and simulation software and a cloud-based platform used by biopharma, materials companies, and academic and government labs to design therapeutics and materials. It sells software licenses and enterprise deployments and also advances wholly owned and collaborative drug discovery programs. Founded in 1990, the company is headquartered in New York and is publicly traded on NASDAQ under the ticker SDGR.