Senior Principal Software Engineer

Red Hat•Boston, MA

16d

About The Position

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?

Requirements

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

Nice To Haves

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

Responsibilities

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

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!

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