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Senior Software Engineer - Nvidia AI Ecosystem

Job in Raleigh, Wake County, North Carolina, 27601, USA
Listing for: Red Hat, Inc.
Full Time position
Listed on 2026-01-15
Job specializations:
  • Software Development
    AI Engineer, Cloud Engineer - Software, Software Engineer, DevOps
Job Description & How to Apply Below
**** 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. 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.##

***
* What you will do:

***** 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.##
**** 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, Python, Java, C, or C++
* Advanced experience with a container orchestration ecosystem like Kubernetes, or Red Hat Open Shift
* Strong experience with microservices architectures and concepts including APIs, versioning, monitoring, etc.
* Virtual Networking / Storage / Compute experience
* 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 Dev Ops 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#LI-JS1#AI-HIRINGThe salary range for this position is $ - $. Actual offer will be based on your qualifications.
** Pay Transparency
** Red Hat determines compensation based on several factors including but…
Position Requirements
10+ Years work experience
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