About the Team

This role will be located within the AI Innovation team in Red Hat AI Engineering, which leads frontier AI research in Red Hat and drives innovation for Red Hat's AI Portfolio.

The AI Innovation Team conducts customer- and science-driven research and productizes outcomes via open-source software. Our focus is on bridging the gap between cutting-edge research and production by productizing research papers (often featured in top AI conferences like NeurIPS, ICLR and ICML) onto the Red Hat AI platform. We operate as an open organization where contributions are valued and expected from all levels.

About the Role

You will serve as a technical bridge between AI algorithms and the Red Hat AI platform. This is not just an execution role; it is a technical leadership position where you will participate in the development and implementation of novel algorithms alongside the research community (internal and external).

We are seeking a candidate with strong backend systems expertise to build the "plumbing" and tooling that enables both local experimental and large-scale AI/ML workflows. You will work across multiple squads, contributing to sprint planning, prioritization, and direct development. You will be expected to leverage AI tools in your daily workflow to maximize efficiency and help convert state-of-the-art research outputs into robust Red Hat AI products.

What You Will Do

Team & Engineering Responsibilities

• Contribute high-quality, maintainable code to open-source AI/ML projects and internal tooling.
• Develop and optimize scalable toolkits for synthetic data generation, model training, and inference-time scaling.
• Document system designs, API specifications, and model performance metrics to ensure transparency and reproducibility.
• Evaluate existing product offerings and iterate on improvements based on telemetry metrics and direct user feedback.
• Proficiently leverage AI-assisted development tools to accelerate coding, testing, and documentation workflows.

Leadership & Strategic Responsibilities

• Serve as the Technical Lead for your assigned components, defining technical standards and providing architectural guidance to the wider team.
• Influence the architectural direction of the Red Hat AI platform to ensure readiness for cutting-edge ML algorithms.
• Work across multiple squads to align technical priorities, contribute to sprint planning, and translate high-level requirements into actionable engineering tasks.
• Lead comprehensive code reviews and enforce best practices in testing (CI/CD), security, and maintainability.
• Mentor and upskill junior engineers, fostering a culture of technical excellence and continuous learning.
• Collaborate closely with Research Scientists and Product Managers to operationalize complex algorithms.

What You Will Bring

Core Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• Must be able to work Hybrid in Boston
• Proficiency in at least one modern backend programming language (e.g., Python, Go, Rust, Java) with a strong grasp of distributed systems patterns.
• Solid experience designing and deploying microservices on containerized platforms (e.g., Kubernetes, OpenShift) at large scale.
• Experience with large language models and model customization techniques.
• Prior experience specifically building or optimizing developer tooling for ML/AI workflows (MLOps).
• Demonstrated experience with rigorous testing methodologies, including unit, integration, and performance testing.
• Proficiency in integrating AI tools into your daily development workflow to enhance productivity and efficiency.
• Demonstrated interest in Artificial Intelligence/Machine Learning with a self-motivated drive to understand and navigate ambiguity in fast-paced, AI research-oriented environments.

Level-Specific Qualifications

• 8+ years of software development experience, with a track record of delivering complex systems in cloud environments.
• Proven ability to lead technical initiatives
• Ability to manage multiple complex projects concurrently, balancing immediate delivery with long-term architectural health.
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Considered a Plus

• Advanced programming expertise in Python, specifically related to the ML ecosystem.
• Proven track record of contributions to Open Source projects or communities.
• Deep knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow).
• Advanced degree (Master's or PhD) in Machine Learning, NLP, or a related field.
• Experience with Red Hat products.

#LI-LS2

The salary range for this position is $174,190.00 - $287,410.00. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

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, employee assistance program, and more!

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.