Senior Software Engineer - AI Research Clusters
Required skills
BS/MS in Computer Science, Engineering, or equivalent experience, 5+ years in software/platform engineering, including 3+ years in ML infrastructure or distributed systems, Experience in software development lifecycle on Linux-based platforms, Strong coding skills in languages such as Python, C++ or Rust, Experience with Docker, Kubernetes, GitLab CI, automated deployments, Experience with AIOps or Agentic AI and apply it successfully in production environment
Preferred skills
Proficiency with full-stack development: Relational Data Modeling, DB optimization, REST API Semantics, Javascript, CSS, providing API as a service, Passion for building developer-centric platforms with great UX and strong operational reliability, Experience running Slurm or custom scheduling frameworks in production ML environments, Familiarity with GPU computing, Linux systems internals, and performance tuning at scale
Technologies
Docker, Kubernetes, GitLab CI, automated deployments, AIOps, Agentic AI, Slurm, custom scheduling frameworks, GPU computing, Linux systems internals
Responsibilities
Propose and implement engineering solutions to ensure delivery of functional, reliable, secure, and performance-optimal GPU clusters to internal researchers, enable them to focus on training and development by reducing operational disruption and overhead, empower them for self-service continuous improvement on reliability, operational excellence & performance, work with coworkers across the AI Platform organization to understand the pain points of validating, monitoring and operating GPU clusters at scale, design, develop and maintain engineering solutions to solve those pain points systematically, research in traditional AIOps and the emerging Agentic AI, leverage it to further reduce the operation toil, participate in on-call support for systems, platforms built and owned by the team
Seniority
Senior
Domain
Artificial Intelligence, High-Performance Computing, Visualization, Machine Learning