Top Artificial Intelligence Jobs in Israel

As a Senior System Software Architect, you will enhance AI workload acceleration, design hardware features, lead architectural efforts, and evaluate new technologies.

Lead development of AI-driven verification tools and environments, integrate ML/LLM agents into verification flows, automate testbench generation and debugging, collaborate with EDA and design teams, and train teams on human-in-the-loop AI methodologies.

Design and develop RDMA protocols for AI networking, collaborate with teams to innovate solutions, and build proofs-of-concept.

As a Senior Dev Platform Engineer, you will build infrastructure for AI-assisted software development, focusing on workflow automation, collaboration platforms, and enterprise tool integrations.

As a Senior HPC and AI Cluster Administrator, you'll deploy and manage HPC/AI clusters, maintain CI/CD pipelines, and troubleshoot across software and hardware.

Manage a team of engineers and researchers to integrate AI agents into workflows. Oversee product engineering, applied research, and deployment of AI tools, ensuring collaboration across teams while optimizing performance and operational standards.

The Senior AI Researcher will develop clinical AI models, design data pipelines, and translate AI research into production systems within the healthcare sector.

The AI Solution Manager will design and build AI agents and workflows, manage AI initiatives, collaborate with stakeholders, drive innovation and optimize solutions for better efficiency and impact.

Design, build, and maintain scalable backend microservices and large data pipelines (primarily Python). Collaborate with product, own features end-to-end, optimize performance, integrate AI components, work with cloud platforms, databases, and message brokers, participate in code reviews, and mentor teammates to ensure reliable, production-ready systems.

As an AI Engineer, you will design and develop LLM-based intelligent agents, integrate tools, collaborate with teams, and improve AI models.

The candidate will define and implement best practices for the R&D platform, collaborate with stakeholders, and participate in all SDLC phases, ensuring high ROI on deliverables.

Design scalable architectures for LLM inference, optimize performance, collaborate with teams, and develop infrastructure for AI model deployment.

As a Senior AI Networking Application Engineer at NVIDIA, you will support supercomputers, resolve customer issues, and collaborate with R&D teams.

Lead design, development, and enterprise roll-out of GenAI applications and autonomous agents. Drive build-vs-buy analyses, integrate secure AI platforms, run enablement, and manage adoption, performance, and roadmap across IT, Legal, and Data teams.

You will research and develop solutions for networking challenges on NVIDIA supercomputers, implementing protocols and algorithms for high-performance communication frameworks.

Lead end-to-end performance strategy, benchmarking, and root-cause analysis for next-generation NICs, DPUs, switches, and AI cluster networking. Define test plans, build telemetry and dashboards, collaborate across architecture, design, firmware, and software teams, and drive GA readiness for AI training and inference workloads.

Develop AI and LLM-based solutions to enhance design and verification processes, collaborating with cross-functional teams for efficiency.

The role involves leading feature development for web applications, ensuring quality through collaboration, testing, and deployment while leveraging AI tools and DevOps practices.

As an AI Product Manager, you will own the product roadmap, utilize AI tools to prototype and innovate, and collaborate across teams to enhance e-commerce features.

Lead the AI Research Group to build autonomous security solutions, manage ML projects, and drive strategic decisions for AI controls.

As an AI Engineer, you will build core intelligence infrastructure, automate security operations, and collaborate with researchers to deploy AI features.

The Director of Product, AI will lead AI strategy, manage AI product initiatives, mentor teams, and collaborate across departments to drive innovation in software delivery.

Lead research in SOC automation, develop benchmarks, create prototypes, mentor teams, and present findings at conferences to advance AI in security operations.

The AI Workforce Consultant accelerates AI fluency and adoption within organizations by designing training, enabling leaders, and integrating AI tools into workflows to foster responsible usage and drive business outcomes.

Design and build secure, scalable backend services to manage AI agent identities, secrets, and access. Implement authentication flows, real-time access policies, and verifiable audit trails. Collaborate across platform, AI, and security teams to deliver high-performance, production-ready systems and drive platform architecture and implementation.