Senior Software Engineer – Nvidia AI Ecosystem

Red Hat

Senior Software Engineer developing next-generation AI solutions utilizing Nvidia technologies. Leading integration efforts and collaborating with teams to enhance Red Hat's AI and cloud offerings.

Posted 7/7/2026full-timeRaanana • 🇮🇱 IsraelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced software development skills in a Linux environment, with expertise in languages such as Golang, Python, Java, C, or C++. Proven ability to lead technical projects, optimize code for performance, and mentor junior engineers while ensuring high standards of security and maintainability.

Highest-signal resume keywords

Linux Environment ProficiencyGolang, Python, Java, C, or C++ ExperienceKubernetes or Red Hat OpenShift ExpertiseMicroservices Architecture KnowledgeTechnical Leadership in Global Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentCode OptimizationAI/ML Workload IntegrationMicroservices ArchitectureAPIs and VersioningAutomated Testing (CI)Security Vulnerability ManagementVirtual NetworkingStorage and Compute ExperienceEmerging AI Technologies

Soft Skills

Coaching and MentoringExcellent Communication SkillsAutonomous Work EthicProblem-SolvingAdaptability in Fast-Paced Environments

Tools & Technologies

Nvidia TechnologiesContainer OrchestrationKubernetesRed Hat OpenShiftAutomated Testing Tools

Industry Keywords

AI TechnologiesCloud ComputingSecurityResiliencyMaintainability

Tech Stack

Tools & technologies

CloudGoJavaKubernetesLinuxMicroservicesOpenShiftPython

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Professional development opportunities
Flexible work arrangements