As the AI Research Team Lead, you will lead a specialized team of researchers focused on high-performance AI systems, including GPU optimization, networking architectures, and collective communication strategies. You will define research directions, mentor the team, and collaborate closely with major industry players to align research with real-world applications and standards.
Key Responsibilities
● Lead and manage a team of AI researchers focused on GPU acceleration, networking, and collective communication.
● Define and execute research strategies aligned with company and industry goals.
● Conduct advanced research in AI infrastructure, distributed training, model optimization, and high-performance computing.
● Translate research findings into practical solutions for production-scale AI systems.
● Collaborate with leading industry companies to align research with emerging standards and real-world challenges.
● Identify bottlenecks, analysis and optimize in distributed GPU eco-system
● Participate in code reviews and technical design discussions
● 3+ years of experience in AI research or applied machine learning, with a focus on GPU optimization, networking, or collective communication.
● Proven experience leading and mentoring research teams.
● Familiarity with large-scale model training and inferencing, distributed AI, and collective communication libraries (e.g., NCCL, MPI).
● Experience collaborating with major industry partners and integrating research with production systems.
● Excellent communication skills, with the ability to convey complex concepts to technical and non-technical stakeholders.
● 5+ years of experience in distributed system programming
● Expert-level programming with focus on performance optimization (C / C++ / Python)
● Experience with performance profiling, benchmarking and optimization tools
● Fast learner, highly organized, detail-oriented with high motivation
DriveNets is a rapidly growing software company that has created a radical new way for service providers and hyperscalers to build their networking infrastructure. DriveNets Network Cloud and DriveNets Network Cloud-AI are new innovative networking solutions that apply the cloud architectural approach to high-scale networking. They bring together the scalability of standard Ethernet Clos architecture with the high performance and reliability of service provider networking, delivering optimal networking performance, scale and cost structure for service providers and hyperscalers.
Founded by Ido Susan and Hillel Kobrinsky, two successful telco entrepreneurs, DriveNets Network Cloud is the leading open disaggregated networking solution based on cloud-native software running over standard white boxes.
Over three funding rounds, DriveNets raised $587 million. Its solutions are used by tens of service providers globally and are in proof-of-concept and lab trials at dozens of operators and hyperscalers, consistently ranking #1 in trials for breadth of capabilities and solution quality. AT&T, the largest backbone in the US, deployed DriveNets Network Cloud across its core network, and DriveNets is currently transporting more than 52% of AT&T’s core network traffic. DriveNets is engaged with over 100 Tier-1 operators and cloud-providers on large projects in North America, Asia and Europe.
