Senior AI Infra Platform Engineer

Cornerstone Research; Los Angeles (CA); On-site; USD 215,000 - 235,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Cornerstone Research seeks a Senior Software Engineer for its Data Science Center to design, build, and operate core AI infrastructure used firm-wide. You will own platform components, improve reliability, and enable developers to ship AI agents and workflows.

The role requires strong system design, across stacks, and a passion for AI-enabled engineering. Ideal candidates have 4+ years in software/DevOps or a Master/PhD in a quantitative field with relevant industry experience, including

Qualifications

• BA/BS with 4+ years of professional software, platform, infrastructure, or DevOps engineering experience, OR a Master or PhD in a quantitative field with 2+ years of industry experience.
• Strong fundamentals in system design and building reliable systems handling sensitive data.
• Ability to work across tech stacks and pick up new languages or frameworks quickly.
• Experience using AI-powered coding assistants to accelerate development and interest in AI-enabled engineering.
• Familiarity with building AI agents and running them safely in sandboxed environments.
• Deep experience with environment isolation concepts and container solutions (Docker, Podman, Bubblewrap).
• Hands-on experience with metrics, logs, distributed tracing, Grafana ecosystem, and OpenTelemetry.
• Excellent communication to document systems and explain progress to technical and non-technical stakeholders.

Responsibilities

• Platform Ownership: Design, build, and operate core systems and shared infrastructure for AI applications.
• Observability & Reliability: Own metrics, logs, and traces; build dashboards and alerts; diagnose performance issues.
• Hardening & Operations: Improve resilience, security posture, and operational maturity of systems.
• Developer Enablement: Provide tooling, environments, and deployment paths for developers to ship AI agents and workflows.
• Collaboration: Partner with engineers, data scientists, product managers, and IT to deliver platform capabilities.

Skills

Software engineering

System design

AI-native development

DevOps/infrastructure

Containers

Observability

Communication

Education

Bachelor's degree

Advanced degree (MS/PhD)

Tools

Docker

Podman

Kubernetes

Terraform

OpenTelemetry

Job description

Cornerstone Research seeks a Senior Software Engineer for its Data Science Center to design, build, and operate core AI infrastructure used firm-wide. You will own platform components, improve reliability, and enable developers to ship AI agents and workflows.

The role requires strong system design, across stacks, and a passion for AI-enabled engineering. Ideal candidates have 4+ years in software/DevOps or a Master/PhD in a quantitative field with relevant industry experience, including