Senior Principal Software Engineer, AI

The Red Hat Ecosystems Engineering group is seeking a Senior Principal Software Engineer to join our rapidly growing team. This is a game-changing opportunity to join an open-source AI platform that harnesses the power of hybrid cloud to drive innovation. In this role, you will work with a diverse team of highly talented engineers on designing, implementing, and productizing new AI solutions, with a focus on deep integration of the AI stack, hardware accelerators, and leading OEMs and Cloud Computing Service Providers (CCSPs).

You'll play a critical role in shaping the next generation of hybrid cloud platforms by directly contributing to Red Hat's innovative AI and Edge products. This is your chance to be at the forefront of AI's exciting evolution, joining an ecosystem that champions continuous learning, career growth, and professional development. You'll also collaborate closely with product management, other Red Hat engineering teams, and key 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.

• Architect and lead the implementation of new features and solutions for Red Hat AI and Edge products

• Explore deep code integration into various Red Hat products, ensuring optimal integration between the Red Hat portfolio, hardware accelerators and partners

• Provide technical vision and leadership on critical and high-impact projects, ensuring non-functional requirements including security, resiliency, and maintainability are met

• Integrate software that leverages hardware accelerators (e.g., DPUs, GPUs, AIUs) and perform performance analysis and optimization of AI workloads with accelerators

• Work with major AI and hardware partners such as NVIDIA, AMD, Dell, and others on building joint integrations and products

• Collaborate closely with UX, UI, QE, and cross-functional teams to deliver a great experience to Red Hat partners and customers

• Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings

• Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats

• Mentor, influence, and coach a distributed team of engineers, contributing to a culture of continuous improvement by sharing recommendations and technical knowledge

• 10+ years of relevant technical experience in software development.

• Advanced experience working in a Linux environment with at least one language like Golang, Rust, Java, C, or C++

• Advanced experience with a container orchestration ecosystem like Kubernetes, or Red Hat OpenShift

• 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 tools

• Ability to quickly learn and guide others on using new tools and technologies

• Proven ability to innovate and a passion for staying at the forefront of technology

• Excellent system understanding and troubleshooting capabilities

• Autonomous work ethic, thriving in a dynamic, fast-paced environment

• Technical leadership acumen in a global team environment

• Proficient written and verbal communication skills in English

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• Experience with cloud development for public cloud services (AWS, GCE, Azure)

• Familiarity with virtualization, networking, or storage

• Background in DevOps or site reliability engineering (SRE)

• Experience with hardware accelerators (e.g., GPUs, FPGAs) for AI workloads

• Recent hands-on experience with distributed computation, either at the end-user or infrastructure provider level

• Experience with performance analysis tools

• Experience with Linux kernel development

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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