Hugging Face

1 day ago

Low-level Senior Software Engineer, Xet Storage - US 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

Build and operate low-level, high-performance storage infrastructure for Hugging Face’s Xet Storage team. You’ll contribute to the open-source xet-core (Rust) project that powers hf-xet and the wider ecosystem, while designing, implementing, and operating challenging backend features at enormous scale. Work in a small, high-trust, low-process, fully remote environment, partnering across infrastructure and open-source surfaces to support ML and AI builders worldwide.

Location: New York

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Contribute to xet-core, the open-source project written in Rust that powers hf-xet and the Hugging Face Hub ecosystem.
•Design, build, and operate challenging features in the Xet Storage backend that underpins the platform’s storage system.
•Work across connected infrastructure surfaces to support model repositories, datasets, and Spaces used by the community.
•Operate at enormous scale, supporting reliable performance for large-scale, distributed services.
•Collaborate with the broader Infrastructure organization while working in a small, remote, high-trust team.

Pay and Benefits

Perks:Health InsuranceDentalVisionParental LeavePaid LeaveEquityRemote WorkLearning Budget

Key Requirements

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

Education:Master's

Skills:Independent ownershipComfort with ambiguityHigh-trust collaborationAsync mindset

Tech Stack:RustPythonTypescriptGoC++Xet-coreHf-xetPypiAWSAzureGCPKubernetesGitGradioDatabasesRelational 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 - US 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: New York

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Contribute to xet-core, the open-source project written in Rust that powers hf-xet and the Hugging Face Hub ecosystem.
•Design, build, and operate challenging features in the Xet Storage backend that underpins the platform’s storage system.
•Work across connected infrastructure surfaces to support model repositories, datasets, and Spaces used by the community.
•Operate at enormous scale, supporting reliable performance for large-scale, distributed services.
•Collaborate with the broader Infrastructure organization while working in a small, remote, high-trust team.

Pay and Benefits

Perks:Health InsuranceDentalVisionParental LeavePaid LeaveEquityRemote WorkLearning Budget

Key Requirements

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

Education:Master's

Skills:Independent ownershipComfort with ambiguityHigh-trust collaborationAsync mindset

Tech Stack:RustPythonTypescriptGoC++Xet-coreHf-xetPypiAWSAzureGCPKubernetesGitGradioDatabasesRelational 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