Define the technical strategy and architecture for AI/ML tooling and frameworks to work smoothly with platform components, ensuring scalability, resilience, and maintainability
Serve as a Subject Matter Expert (SME) for the organization, advising leadership and stakeholders on the design of frameworks that drive community adoption and developer delight
Mentor and coach Principal and Senior engineers, fostering a culture of technical excellence and helping to build specialized AI/ML tooling skills within the team
Influence the broader open-source AI ecosystem by designing frameworks that make our tools popular in the community
Lead the development of complex projects on data generation, model training, inference-time scaling, and new algorithms
Set engineering standards for code reviews, testing frameworks (CI/CD), and system documentation
Evaluate and select appropriate technologies to build robust, user-friendly developer tools
Drive the design of our open-source tools to ensure they are accessible, extensible, and ready for widespread community adoption

Requirements

10+ years of software development experience, with significant experience architecting and building developer tooling for Machine Learning workflows
Proven track record of maintaining or creating AI/ML projects, with a strong preference for popular Open Source projects or large-scale enterprise internal tooling frameworks
Deep knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow) and the developer pain points associated with the ML lifecycle
Experience with Large Language Models (LLMs), particularly in the context of tooling, fine-tuning, or serving
Demonstrated ability to identify and integrate the latest AI tooling frameworks and best practices into the organization to accelerate engineering efficiency
Proficiency in at least one modern backend programming language (e.g., Python, Go, Rust) with a strong preference for languages common in the ML ecosystem
Demonstrated ability to lead technical strategy for tooling frameworks or platform engineering teams
Proven experience designing software frameworks or APIs that have achieved significant adoption
Excellent communication skills, with the ability to influence Red Hat leadership and shape open-source strategy
Proven track record of mentoring senior engineers and elevating the technical bar of an organization

Benefits

Comprehensive medical, dental, and vision coverage
Flexible Spending Account - healthcare and dependent care
Health Savings Account - high deductible medical plan
Retirement 401(k) with employer match
Paid time off and holidays
Paid parental leave plans for all new parents
Leave benefits including disability, paid family medical leave, and paid military leave
Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, and employee assistance program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/ML toolingmachine learning frameworksPyTorchTensorFlowLarge Language Modelsbackend programming languagesPythonGoRustCI/CD

Soft Skills

mentoringcoachingcommunicationinfluencingtechnical strategyleadershipcollaborationcommunity engagementproblem-solvingtechnical excellence