Red hat Senior Software Engineer - AI & Edge 

Israel, Center District, Raanana 

542056636

What You Will Do

• Implement 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.

• 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.

What You Will Bring

• 4+ 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++.

• Expereince with the container orchestration ecosystem like Kubernetes, or Red Hat OpenShift.

• Expereince 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.

The Following is Considered a Plus

• 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.