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Were looking for an experienced Engineering Group Manager to join our growing R&D organization in Tel Aviv. In this role, you will lead and scale a group of teams responsible for the core of AI products. A key focus of this role is to drive the growth of the product offering, executing quickly, innovating, and continuously improving the existing product to ensure it remains production-ready, scalable, and reliable AI.

You will play a key role in shaping and executing our technical vision, driving the evolution of our conversational AI, and building a strong, high-performing engineering organization while working super closely with the product team. This role reports to the CPTO.

Responsibilities
Lead, scale, and mentor an engineering group of 15-20 engineers, delivering complex, AI-driven products at scale.
Manage Team Leads and Partner closely with the CTO to translate technical vision into execution and ensure strong alignment across teams.
Collaborate deeply with Product Managers to define and execute the roadmap for core product.
Drive continuous improvement of R&D processes, structure, and engineering culture to support rapid growth and high-throughput environments.
Foster technical excellence, mentor future leaders, and build a strong leadership pipeline within .
Own cross-functional collaboration, ensuring strong synchronization between your group and other departments across the company.

our company is at the forefront of the ai revolution, delivering latest accelerated compute platforms for global impact. our networking research group is seeking a forward-thinking engineering manager with a product leadership approach to manage a team of software engineers, ai agent developers, and researchers.
in this role, you will bridge the gap between brand-new ai research and practical engineering. you will lead the charge in integrating autonomous ai agents into the daily workflows of our architects, hardware designers, and researchers. you will be responsible for understanding internal engineering bottlenecks, researching the latest academic and industry advancements, and translating them into deployed production tools using nvidias ai stack.
what you'll be doing:
team leadership & strategy: lead and mentor a mixed team of SW engineers and researchers, balancing the agility of research with the responsibility of production software engineering.
product engineering: partner with internal engineering teams (hardware, architecture, research) to analyze their workflows, identify friction points, and architect agentic ai solutions to accelerate their work.
applied research: actively monitor the latest ai trends, academic papers, and technical blogs (llms, agents, rag). translate these insights into concrete features and tools for the team.
agent architecture: be responsible for the design of scalable frameworks for ai agent interaction, ensuring they can reason, plan, and orchestrate tasks within complex engineering environments.
sw-focused mlops: define and implement the software lifecycle for ai models - from fine-tuning to deployment - utilizing our ai deployment tools and ensuring seamless ci/cd.
production deployment: ensure reliable operation of agent fleets, optimizing for latency and resource consumption while maintaining security and access controls.