Senior Software Engineer - Nvidia AI Ecosystem

Red River•Boston, MA

19h

About The Position

The Red Hat Ecosystems Engineering group is seeking a Senior Software Engineer to join its rapidly growing team. In this role, the engineer will be a key contributor to the bridge between cutting-edge hardware and world-class open-source software, focusing on the technical implementation and productization of next-generation AI solutions. This involves ensuring deep integration between the Red Hat software stack and Nvidia’s hardware acceleration technologies. The role requires collaboration with a diverse team of engineers, product teams, and partners like Nvidia to maintain Red Hat’s AI and Cloud offerings as the industry standard for performance and reliability. This position is critical in shaping the next generation of hybrid cloud platforms by directly contributing to Red Hat's innovative AI and cloud offering, providing an opportunity to be at the forefront of AI's evolution within an ecosystem that champions continuous learning, career growth, and professional development. Red Hat's commitment to open source innovation extends to its work culture, encouraging proactive, thoughtful, and ethical use of AI to simplify workflows, reduce complexity, and boost efficiency, allowing associates to focus on higher-impact work and create innovative solutions. Red Hat is the world’s leading provider of enterprise open source software solutions, utilizing a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. The company's associates work flexibly across various environments, including in-office, office-flex, and fully remote, depending on role requirements. Red Hat fosters an open and inclusive environment, encouraging all Red Hatters to contribute their best ideas, solve complex problems, and make an impact.

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.
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.

Nice To Haves

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.

Responsibilities

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.

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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