Software Engineer – AI Research Clusters

This is a fully remote position, open to applicants in California, +5 more states.

📋 Description

• Propose and execute engineering solutions for functional, reliable, secure, and performance-optimized GPU clusters

• Minimize operational disruption and overhead for internal AI researchers

• Facilitate self-service continuous improvement in reliability, operational excellence, and performance

• Identify pain points in validating, monitoring, and managing GPU clusters at scale

• Design, develop, and sustain engineering solutions to tackle cluster operations challenges

• Investigate traditional AIOps and emerging Agentic AI to alleviate operational toil

• Engage in on-call support for systems and platforms created and maintained by the team

• Collaborate with colleagues throughout the AI Platform organization

⛳️ Requirements

• BS/MS in Computer Science, Engineering, or equivalent experience

• 2+ years in software/platform engineering, with at least 1 year focused on ML infrastructure or distributed systems

• Experience in the software development lifecycle on Linux-based platforms

• Proficient coding skills in Python, C++, or Rust

• Familiarity with Docker, Kubernetes, GitLab CI, and automated deployments

• Experience with AIOps or Agentic AI and successfully applying it in a production environment

• Expertise in full-stack development, including relational data modeling, database optimization, REST API semantics, JavaScript, CSS, and providing API as a service

• Experience operating Slurm or custom scheduling frameworks in production ML environments

• Knowledge of GPU computing, Linux systems internals, and performance tuning at scale

🏝️ Benefits

• Equity

• Benefits