Low-level Senior Software Engineer, Xet Storage - EMEA Remote

Stack

Responsibilities

• ▹Contribute to xet-core, the open-source Rust project powering hf-xet, the Python library underpinning the Hugging Face Hub client
• ▹Design, build and operate meaningful and challenging features in the Xet Storage backend
• ▹Contribute to the broader Infrastructure organization at Hugging Face
• ▹Work in a small team operating systems at enormous scale, currently storing over 200PB of data

Requirements

• ▹8+ years building and scaling distributed systems, storage or networking infrastructure
• ▹Proficiency in a low-level systems language, with Rust strongly preferred (Python, TypeScript, Go and C++ are also used across the stack)
• ▹A track record of working independently in a high-trust, low-process environment, comfortable with ambiguity and taking ownership end to end
• ▹Comfort operating in a fast-moving, async and fully remote environment
• ▹A passion for building simple, robust and scalable systems relied on by engineering and science teams around the world
• ▹Proven experience building and operating production systems software (every applicant is considered individually)

Nice to have

• ▹Experience designing efficient, high-performance, fault-tolerant data storage and retrieval systems
• ▹Experience operating production systems: monitoring, alerting, distributed debugging and recovery
• ▹Familiarity with git internals, cloud infrastructure (AWS, Azure, GCP, Kubernetes), databases (relational and non-relational) or networking

Soft skills

What we offer

• ▹Remote work with flexible working hours
• ▹Health, dental and vision benefits for employees and their dependents
• ▹Parental leave and flexible paid time off
• ▹Reimbursement for conferences, training and education
• ▹Workstation outfitting if needed
• ▹Company equity for all employees
• ▹Opportunity to visit the NYC and Paris offices

About the company

Hugging Face is building the fastest growing platform for AI builders, with over 11 million users, 4 million shared models, 1 million datasets and 1.5 million Gradio apps. Its open-source libraries have more than 700,000 stars on GitHub.