Lead the development and integration of new features for Red Hat AI & Cloud, utilizing Nvidia's cutting-edge technologies (GPUs, DPUs, and more).
Write and optimize code that integrates hardware accelerators into the Red Hat portfolio, ensuring high performance for AI/ML workloads.
Take ownership of project modules, ensuring they meet rigorous non-functional requirements such as security, resiliency, and maintainability.
Partner with UX, UI, and QE teams to build seamless user experiences for our partners and customers.
Maintain high code quality through rigorous peer reviews and automated testing (CI), and proactively address security vulnerabilities.
Coach and guide junior and mid-level engineers, sharing technical knowledge to foster a culture of continuous learning.
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.
Requirements
4+ years of relevant technical experience in software development.
Advanced experience working in a Linux environment with at least one language like Golang, Python, 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.
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).
Hands-on experience with Nvidia CUDA/DOCA or performance profiling for GPUs.
Background in DevOps or site reliability engineering (SRE).
Experience with hardware accelerators (e.g., GPUs) for AI workloads.
Recent hands-on experience with distributed computation, either at the end-user or infrastructure provider level.
Experience with performance analysis tools.
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About Red Hat
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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,
Benefits
Remote work options
Additional Information
Job Summary
The Red Hat Ecosystems Engineering group is seeking a Senior Software Engineer to join our rapidly growing team. In this role, you will be a key contributor to the bridge between cutting-edge hardware and world-class open-source software. You will focus on the technical implementation and productization of next-generation AI solutions, ensuring deep integration between the Red Hat software stack and Nvidia's hardware acceleration technologies.
You will work within a diverse team of engineers, collaborating with product teams and partners like Nvidia to ensure Red Hat's AI and Cloud offerings remain the industry standard for performance and reliability.
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 cloud offering . 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.
Red Hat · Raanana