Senior Principal Software Engineer

Job Summary:

The Red Hat Ecosystems Engineering group is seeking a Senior Principal Software Engineer in our Boston, MA office.  In this role, you will work with a diverse team of highly motivated engineers on designing and implementing AI/ML workflows and solutions and integrating Partners solutions. You will also be working closely with the product management, other engineering groups within Red Hat, and with Red Hat partners and lighthouse customers.

At Red Hat, our commitment to open source innovation extends beyond our products - it's embedded in how we work and grow. Red Hatters embrace change – especially in our fast-moving technological landscape – and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.

Are you ready to start developing new solutions that combine open source, hybrid cloud, and AI?

What you will do:

• Architect, design, document, and develop applications in Python and AI/ML frameworks

• Architect and lead the implementation of Agentic AI applications

• Architect and lead implementation of scalable solutions with distributed computing capabilities  to deploy, train, and serve ML models  on OpenShift AI (RHOAI)

• Develop and optimize retrieval-augmented generation (RAG) pipelines 

• Drive end-to-end execution of small-scale, cross-team and partner initiative

• Build multi product demos and AI/ML workflows using Predictive and Generative AI leveraging RH product and AI stack

• Work with upstream AI/ML communities to evaluate new AI/ML-related technologies from partners and create examples of integrations between their technology and RHOAI

• Collaborate with AI/ML partners  to adjust their AI strategies, address their specific use cases, and drive value through the adoption of the RHOAI 

• Demonstrate proficiency in utilizing LLMs (e.g., Google Gemini), as relevant, for tasks such as brainstorming solutions, deep research, summarizing technical documentation, drafting communications, summarizing complex technical information, and enhancing problem-solving efficiency across the development lifecycle

• Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.

• Collaborate with cross-functional teams to identify opportunities for AI integration within the software development lifecycle, driving continuous improvement and innovation in engineering practices; share use cases for successful experiments with stakeholders for broader use

What you will bring:

• Minimum of 10 years of relevant technical experience in software development, at least a year using Python and Go

• Experience of containers and OpenShift or Kubernetes 

• Experience and knowing AI frameworks  and libraries (e.g. OpenDataHub, TensorFlow, PyTorch, Kueue, KubeRay, KubeFlow, CodeFlare, Feast etc)

• Familiarity with model parallelization, quantization, and memory optimization using vLLM, DeepSpeed, OpenVino and other inference libraries

• Strong experience with microservices architectures and concepts including APIs, versioning, monitoring, etc.

• Experience with AI/ML technologies, including foundational frameworks, large language models (LLMs), Retrieval Augmented Generation (RAG) paradigms, vector databases, and LLM orchestration tool

• Experience  with AI and MLOps tools and Concepts, including Automation, GitOps, pipelines, models, etc. for managing the AI/ML lifecycle in production environments

• Interest in learning new technologies; problem-solving skills

The following are considered a plus: 

• Cloud Computing experience using at least one of the following Cloud infrastructures AWS, GCP, Azure & IBM Cloud

• Previous code contributions to or participation in open source projects or code samples on GitHub. 

• Contributions to internal AI platforms, model evaluation frameworks, or observability for AI systems

#LI-JS1

#AI-HIRING

The salary range for this position is $181, $299, 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. 

About Red Hat

Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

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. 

Inclusion at Red Hat
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application- General inquiries, such as those regarding the status of a job application, will not receive a reply. 

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