PyTorch Foundation Contributor Awards 2026 — Nomination Form

Nomination and contribution details.

The Annual PyTorch Foundation Contributor Awards honor individuals who have made significant contributions to PyTorch Foundation projects and the community. Awards will be presented during the PyTorch Conference 2026, taking place October 20–21, 2026, in San Jose, California.

The awards recognize exceptional contributions across technical development, community engagement, education, mentorship, and project growth.

Self-nominations are welcome.

Important Dates

June 17, 2026 – Nominations open
July 17, 2026 (11:59 PM Pacific Time) – Nominations close

Please provide as much detail and supporting evidence as possible. Strong nominations help the review committee fairly evaluate impact across the ecosystem.

Questions? Please contact contributor-award@pytorch.org

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* 1. Please provide your full name.

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* 2. Please provide your email address.

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* 3. Please indicate your organization or affiliation.

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* 4. Will you be nominating yourself?

Yes

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* 5. Please provide the full name of the nominee.

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* 6. Please provide the nominee's GitHub, GitLab, or other relevant contributor profile URL(s).

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* 7. Please provide a contact method that can be used to reach the nominee if selected.

Examples:
Email address
PyTorch Slack handle
LinkedIn profile
Other preferred contact information

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* 8. If known, please specify the nominee's organization or affiliation.

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* 9. Please indicate the primary award category for this nomination.

Outstanding Ambassador — Excellence in community growth and bringing new users into the ecosystem

Superhero — Excellence across all aspects of community contribution

Ecosystem Champion — Excellence in strengthening and growing the broader project ecosystem

Knowledge Enhancer — Excellence in documentation, tutorials, and knowledge sharing

Bug Buster — Excellence in uncovering, reporting, and resolving bugs

Newcomer — Excellence in new contributions

Review Powerhouse — Excellence in code review

Innovator — Excellence in innovative features, approaches, and core architectural contributions

Catalyst — Excellence in improving developer workflows, automation, devinfra, and AI-assisted development

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* 10. Which PyTorch Foundation projects has the nominee contributed to, supported, or actively participated in?

PyTorch

vLLM

DeepSpeed

Safetensors

Helion

Ray

Other

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* 11. If 'Other' was selected, please provide the specific project name.

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* 12. What types of contributions most accurately characterize the nominee's impact?

Select the areas where the nominee had the strongest measurable impact.

Code contributions

Code review

Documentation

Tutorials / Educational Content

Bug reports / Issue triage

Performance optimization

Infrastructure / DevInfra

Developer advocacy

Security improvements

Other

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* 13. If 'Other' was selected, please provide a specification.

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* 14. Please describe the nominee's most impactful contributions and their impact on the PyTorch Foundation projects. Include specific examples, measurable outcomes, and supporting references where available.

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* 15. What is the approximate timeframe for the contribution?

Select the option that best reflects the primary period of the nominee’s impact or activity within the PyTorch foundation projects. This helps reviewers evaluate contributions within appropriate context and award categories.

Primarily contributions within the past year

Sustained multi-year contributions

New contributor within the past 12 months

PyTorch Foundation Contributor Awards 2026 — Nomination Form

Nomination and contribution details.

Question Title

* 1. Please provide your full name.

Question Title

* 2. Please provide your email address.

Question Title

* 3. Please indicate your organization or affiliation.

Question Title

* 4. Will you be nominating yourself?

Question Title

* 5. Please provide the full name of the nominee.

Question Title

* 6. Please provide the nominee's GitHub, GitLab, or other relevant contributor profile URL(s).

Question Title

* 7. Please provide a contact method that can be used to reach the nominee if selected.Examples:Email addressPyTorch Slack handleLinkedIn profileOther preferred contact information

Question Title

* 8. If known, please specify the nominee's organization or affiliation.

Question Title

* 9. Please indicate the primary award category for this nomination.

Question Title

* 10. Which PyTorch Foundation projects has the nominee contributed to, supported, or actively participated in?

Question Title

* 11. If 'Other' was selected, please provide the specific project name.

Question Title

* 12. What types of contributions most accurately characterize the nominee's impact?Select the areas where the nominee had the strongest measurable impact.

Question Title

* 13. If 'Other' was selected, please provide a specification.

Question Title

* 14. Please describe the nominee's most impactful contributions and their impact on the PyTorch Foundation projects. Include specific examples, measurable outcomes, and supporting references where available.

Question Title

* 15. What is the approximate timeframe for the contribution?Select the option that best reflects the primary period of the nominee’s impact or activity within the PyTorch foundation projects. This helps reviewers evaluate contributions within appropriate context and award categories.

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* 16. Is there any additional information that would help the review committee evaluate this nomination?

* 7. Please provide a contact method that can be used to reach the nominee if selected.

Examples:
Email address
PyTorch Slack handle
LinkedIn profile
Other preferred contact information

* 12. What types of contributions most accurately characterize the nominee's impact?

Select the areas where the nominee had the strongest measurable impact.

* 15. What is the approximate timeframe for the contribution?

Select the option that best reflects the primary period of the nominee’s impact or activity within the PyTorch foundation projects. This helps reviewers evaluate contributions within appropriate context and award categories.