דרושים Director Nvidia Strategic Partnership & Technology Integration ב-Red Hat ב-Israel, Raanana

What You Will Do:

• Architect, develop, and deploy secure systems, ensuring compliance with security regulations.

• Work directly with partners and customers to improve their security posture using Red Hat technologies and design new solutions.

• Collaborate with engineering teams across the organization to implement new security features upstream and in Red Hat products.

• Play an active role in applying RHEL, Kubernetes, and Red Hat OpenShift to customer use cases, primarily focusing on security and Edge.

• Work closely with partners and key customers to integrate their security workloads on Red Hat’s platforms.

• Contribute to the design and implementation of new security features across Red Hat's wide portfolio of infrastructure software.

• Possible responsibilities may include:

• Microservices Security : Designing and implementing secure communication channels, authentication, authorization, and data protection mechanisms for microservices.

• Kubernetes and Container Security : Ensuring the security of container images, network policies, and resource access controls within Kubernetes environments.

• Virtualization Security : Implementing and enhancing security features for virtualized environments, including work with emerging technologies like Intel TDX (Trust Domain Extensions) for confidential computing.

• Data Protection : Developing and implementing robust disk encryption solutions to safeguard data at rest across various storage systems and cloud environments.

• Stay up-to-date on the latest advancements in security frameworks, technologies, and best practices.

What You Will Bring:

• 5+ years of relevant technical experience.

• Advanced hands-on software development experience.

• Deep understanding of microservices architecture and its security implications.

• Extensive knowledge of networking protocols and operating systems.

• Proficiency in Kubernetes and container security.

• Strong experience with RHEL or other Linux distributions.

• Advanced level of experience with Kubernetes.

• Strong coding skills in languages such as Go, Java, or Python.

• Good understanding of Linux and debugging skills.

• Capabilities to work on various projects with different requirements, priorities, and technical stacks.

• Technical leadership acumen in a global team environment.

• Excellent written and verbal communication skills; fluent English language skills.

The Following Is Considered a Plus:

• Relevant security certifications (CISSP, CSSLP, etc.).

• Experience with cloud security and DevSecOps practices.

• Experience with container ecosystem like Docker, Kubernetes, or Red Hat OpenShift.

• Experience with developing cloud-native applications at scale.

• Experience with developing Kubernetes operators.

• Experience with CI methodologies.

• Familiarity with virtualization, networking, or storage.

• Background in DevOps or site reliability engineering (SRE).

• Recent hands-on experience with distributed computation, either at the end-user or infrastructure provider level.

• Experience with performance analysis tools.

What you will do:

• Lead the strategic vision, direction, and execution across multiple engineering teams focused on NVIDIA technology integration, including GPU, DPU, and AI accelerator enablement across Red Hat's product portfolio.

• Develop and implement short- and long-term strategies for hardware acceleration, AI/ML infrastructure, and enterprise software integration between Red Hat and NVIDIA ecosystems.

• Lead technical discussions and architectural decisions regarding accelerator enablement, driver integration, and AI/ML software stack optimization.

• Collaborate closely with NVIDIA's product and engineering teams to ensure alignment on technical roadmaps and integration priorities.

• Manage and grow a team of engineers specialized in hardware acceleration, driver development, and AI/ML infrastructure.

• Drive customer adoption of joint Red Hat-NVIDIA solutions through technical enablement and ecosystem building.

• Represent Red Hat in strategic technical discussions with NVIDIA leadership and joint customer engagements.

What you will bring:

• Previously managed a group of 25+ engineers in a technical domain involving hardware-software integration.

• Proven track record of successfully delivering complex technical solutions involving multiple stakeholders and engineering teams.

• Strong proficiency in Linux systems, networking and infrastructure

• Understanding of container runtime and orchestration technologies

• Experience in building and maintaining strategic technical partnerships with major technology vendors.

• Strong organizational capability including building and executing on aggressive plans, leading the everyday activities of a global engineering team.

• Expertise in container technologies, Kubernetes, and cloud-native infrastructure.

• Demonstrated ability to translate complex technical requirements into actionable engineering deliverables.

Additional Desired Skills:

• Familiarity with NVIDIA's software stack, including CUDA, Triton Inference Server, and other AI frameworks.

• Knowledge of Red Hat Enterprise Linux, OpenShift, and other Red Hat platforms.

• A passion for staying updated with the latest in AI, computing, and cloud technologies.

What you will do:

• Play an active role applying RHEL, Kubernetes and Red Hat OpenShift to customer use cases, mostly focusing on AI and Edge

• Work closely with partners and key customers to integrate their workloads on Red Hat’s platforms

• Integrating software that leverages hardware accelerators (e.g., DPUs, GPUs, AIUs..)

• Collaborate with hardware and software engineers to ensure optimal integration between Red Hat portfolio and accelerators

• Contribute to the design and implementation of new features

• Perform performance analysis and optimization of AI workloads with accelerators

• Stay up-to-date on the latest advancements in AI frameworks, hardware accelerators and more

What you will bring:

• 5+ year of relevant technical experience

• Strong experience with RHEL or other Linux distributions

• Advanced level of experience with Kubernetes

• Technical leadership acumen in a global team environment

• Excellent written and verbal communication skills; fluent English l

The following is considered a plus:

• Recent hands on experience with distributed computation, either at the end-user or infrastructure provider level

• Experience with AI/ML technologies and frameworks (classifiers, pytorch, tensorflow etc)

• Background in DevOps or site reliability engineering (SRE)

• Experience with hardware accelerators (e.g., GPUs, FPGAs) for AI workloads

• Experience with performance analysis tools

• Experience with Linux kernel development