דרושים » תוכנה » Experienced R&D Manager

The SaaS and AI Security field is complex and challenging. Therefore, we're looking for super-talented people, who are not afraid of technical challenges and breaking down barriers to achieve good solutions.

About the Role
We are looking for an experienced full-stack team lead to join our R&D organization, lead the design and development of large-scale, data-oriented applications.
In this role, you will manage a talented team of full-stack engineers while remaining hands-on and technically involved in building our core SaaS security platform.
You will play a key role in shaping system architecture, driving technological innovation, and ensuring the delivery of robust and scalable solutions in a fast-paced, dynamic environment.

Key Responsibilities
Lead and mentor a team of full-stack engineers, guiding them in design, development, and delivery of complex projects.
Drive the architecture and implementation of data-centric applications using modern technologies and cloud infrastructure.
Lead a fast-moving development team, ensuring strong execution and teamwork in a dynamic environment
Collaborate with QA, Product, Design, and DevOps teams to ensure system scalability, reliability, and performance.
Conduct code reviews, enforce best practices, and foster a high-quality engineering culture.
Research and integrate new technologies to overcome technical challenges and improve productivity.
Own full project lifecycle, from requirement gathering and design to deployment and monitoring in production.

Were looking for an experienced Engineering Group Manager to join our growing R&D organization in Tel Aviv. In this role, youll lead and scale a group of teams responsible for the heart of AI platform, including our AI team, Chat AI product team, and Incubation team. A major focus of this role is to lead and grow the Data Science team, including machine learning research, ML model development, and MLOps practices to ensure production-ready, scalable, and reliable AI solutions.

You will play a key role in shaping and executing our technical vision, driving the evolution of our conversational AI and voice solutions, and building a strong, high-performing engineering organization. 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 two Team Leads and provide direct leadership to specialized teams, including the AI team and Data Science team, working closely with a dedicated AI Architect.
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 AI engine and chat experiences.
Oversee the development and deployment of machine learning models, including model design, evaluation, optimization, and production integration.
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.

We are looking for a Group Lead to architect our System Verification & Simulation efforts. This is not a traditional QA role. We are seeking a veteran Software Engineer or Systems Architect to build the "adversarial" distributed system that pushes our platform to its theoretical limits.
Your mandate is twofold:
Build a validation platform capable of simulating massive-scale AI workloads.
Transform the group into an AI-native engineering force. You will leverage Generative AI and LLMs to multiply engineering velocity, automate complex scenario generation, and achieve 1000x the coverage of traditional teams.
What You Will Build & Lead:
Engineering, Not Scripting: You will lead a team of 20+ engineers who write production-grade code (Python, Go, C++) to create a validation ecosystem.
Your team operates with the same rigorous code reviews, design docs, and architectural standards as the Core Kernel team.
Lead the AI-Native Transformation: You will pioneer the integration of AI agents and LLMs into the engineering workflow. This means using AI for synthetic workload generation, automated root-cause analysis of crash dumps, and intelligent test code generation, making your team an ultra-productive powerhouse.
Architecting "The Breaker": Design and build a massive-scale distributed validation framework. You will focus on orchestrating millions of concurrent IO operations to hunt down race conditions, memory leaks, and network partition behaviors that only appear at extreme scale.
Simulation & Chaos: Evolve our infrastructure to simulate real-world entropy. You will champion the development of tools that inject latency, packet loss, and hardware failures into the cluster to prove resilience (Chaos Engineering).
Deep-System Telemetry: Move beyond "Pass/Fail." You will build the observability pipelines that track P99 latency, jitter, and recovery times, providing deep feedback loops to the Core team on architectural bottlenecks.