Were hiring a Senior Infrastructure Software Engineer to join a high-impact ML infrastructure team at a top research and tech company. This role is ideal for engineers who thrive in high-autonomy environments and have deep experience building infrastructure at scale. Youll spend 8090% of your time coding in Python, contributing directly to the development and improvement of core ML compute infrastructure. Youll help maintain and expand a bespoke GPU Kubernetes cluster, working on systems that support a wide range of research customers.
Write clean, scalable Python code to enhance internal ML infrastructure systems
Own and operate a custom GPU Kubernetes cluster, including data catalog and caching storage components
Build features that support onboarding and performance needs of ML and research users
Improve performance, resolve production issues, and optimize resource usage
Contribute to and improve pipelines (data ingestion, compute scheduling, etc.)
Work with tools like Docker, Kubernetes, and automated testing frameworks
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5+ years of experience as a Software Engineer, ideally with infrastructure and/or platform teams
Strong proficiency in Python (this is a Python-only role with a mixture of writing code from scratch as well as debugging and performance improvements)
Hands-on experience with Kubernetes clusters, ideally at scale
Familiarity with Docker, automated testing, and ML infrastructure components
Ability to operate independently and deliver end-to-end projects with minimal oversight
Experience in performance tuning and supporting internal research or ML teams
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.