Hugging Face

1 day ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Join the Xet Storage team and help power the storage infrastructure behind Hugging Face’s AI platform at immense scale. You’ll contribute to the open-source xet-core (Rust) and hf-xet (Python) libraries while designing, building, and operating challenging backend features in the Xet Storage service. Work in a small, high-trust, low-process, fully remote environment focused on high-performance, distributed systems that support millions of builders worldwide.

Location: Paris

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Contribute to the open-source xet-core project that powers hf-xet and the Hugging Face Hub ecosystem.
•Design, build, and operate meaningful backend features in the Xet Storage storage system.
•Develop low-level, high-performance code for scalable storage services supporting Hugging Face’s platform.
•Work across two closely connected surfaces (xet-core and Xet Storage backend) in an async, remote environment.
•Collaborate with the broader Infrastructure organization while building and operating at enormous scale.

Pay and Benefits

Perks:Health InsuranceDentalVisionParental LeavePaid LeaveEquityLearning Budget

Key Requirements

•8+ years building and scaling distributed systems, storage, or networking infrastructure.
•Proficiency in a low-level systems language; Rust strongly preferred (also Python, Typescript, Go, and C++ across the stack).
•Ability to work independently in a high-trust, low-process environment, comfortable with ambiguity and taking ownership end to end.
•Comfort operating in a fast-moving, async, fully remote environment.
•Passion for building simple, robust, and scalable systems relied on by engineering and science teams worldwide.

Education:Master's

Skills:OwnershipComfort with ambiguityIndependent workHigh-trust collaborationPassion for open-source

Tech Stack:RustPythonTypescriptGoC++AWSAzureGCPKubernetesGitHf-xetXet-coreGradioPypiRelational databasesNon-relational databasesNetworking

Company Brief

Hugging Face

Builds open-source tools, models, and a platform for machine learning and natural language processing, enabling developers and organizations to train, deploy, and share AI models and datasets.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: New York, United States

Founded: 2016

Website LinkedIn

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Hugging Face

1 day ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: Paris

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Contribute to the open-source xet-core project that powers hf-xet and the Hugging Face Hub ecosystem.
•Design, build, and operate meaningful backend features in the Xet Storage storage system.
•Develop low-level, high-performance code for scalable storage services supporting Hugging Face’s platform.
•Work across two closely connected surfaces (xet-core and Xet Storage backend) in an async, remote environment.
•Collaborate with the broader Infrastructure organization while building and operating at enormous scale.

Pay and Benefits

Perks:Health InsuranceDentalVisionParental LeavePaid LeaveEquityLearning Budget

Key Requirements

•8+ years building and scaling distributed systems, storage, or networking infrastructure.
•Proficiency in a low-level systems language; Rust strongly preferred (also Python, Typescript, Go, and C++ across the stack).
•Ability to work independently in a high-trust, low-process environment, comfortable with ambiguity and taking ownership end to end.
•Comfort operating in a fast-moving, async, fully remote environment.
•Passion for building simple, robust, and scalable systems relied on by engineering and science teams worldwide.

Education:Master's

Skills:OwnershipComfort with ambiguityIndependent workHigh-trust collaborationPassion for open-source

Tech Stack:RustPythonTypescriptGoC++AWSAzureGCPKubernetesGitHf-xetXet-coreGradioPypiRelational databasesNon-relational databasesNetworking

Company Brief

Hugging Face

Builds open-source tools, models, and a platform for machine learning and natural language processing, enabling developers and organizations to train, deploy, and share AI models and datasets.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: New York, United States

Founded: 2016

Website LinkedIn