ai&

About ai& ai& is a new global AI technology company dedicated to meeting the world's growing demand for AI. Our vision is twofold: to serve as a premier AI lab specializing in localization, and to act as a global infrastructure and compute provider. We are building a unified, optimized global platform that integrates next-generation data centers and infrastructure, heterogeneous compute serving, and advanced model services. We believe that the most effective way to build and scale AI is to own the stack from top to bottom. At ai&, we empower small teams with the autonomy needed to tackle significant challenges. Our approach is to deconstruct large problems into manageable components and solve complex issues collaboratively. We seek highly motivated, mission-driven individuals who demonstrate strong personal agency. We value curiosity as the foundation of talent, and we are looking for people eager to develop alongside our evolving technology and expanding business. We are actively hiring worldwide, with presence in Tokyo, SF, Austin, and Toronto. We are more than happy to meet exceptional talent where they are. Role overview As a Network Engineer at ai&, you are the domain expert on the lossless networking fabrics that tie our GPU fleet together. AI at scale lives and dies on the network. Collective communication operations, AllReduce, AllGather, ReduceScatter, are on the critical path of every distributed training and inference workload we run. Your job is to make sure the fabric is fast, lossless, and never the bottleneck. You will work across RoCE v2 and InfiniBand fabrics, tune NCCL and network interfaces, and own the end-to-end network performance of our compute clusters. You will work closely with the systems, kernel, and inference teams to ensure that what gets built at the physical layer translates directly into performance at the workload layer. Responsibilities - Lossless Fabric Design & Operations Design, deploy, and operate lossless networking fabrics across our data centers. Own RoCE v2 and InfiniBand (NDR/XDR) deployments end to end. - NCCL & Interface Tuning Tune NCCL, NICs, and DPUs to guarantee maximum bandwidth and zero packet loss for distributed AI workloads. Own the performance of collective communication operations across the fleet. - Network Architecture Design the network architecture for new data center deployments. Make topology, switch, and cabling decisions that scale from current clusters to future multi-site deployments. - Performance Monitoring & Optimization Instrument the network for observability. Proactively identify and eliminate bottlenecks before they affect workloads. Own network performance benchmarks and drive continuous improvement. - Cross-Team Collaboration Work closely with the systems, storage, and ML infrastructure teams to ensure the network fabric supports the demands of distributed training and inference at every scale. You may be a fit if you have the following skills - AI Networking Expertise Deep experience designing and operating lossless AI networking fabrics. You have worked with InfiniBand and RoCE v2 at scale and you understand the trade-offs between them. - NCCL & Collective Communications Hands-on experience tuning NCCL for distributed AI workloads. You understand how collective communication patterns interact with network topology and you know how to optimize for both bandwidth and latency. - NIC & DPU Proficiency Experience configuring and tuning high-performance NICs and DPUs from vendors including NVIDIA ConnectX and Bluefield series. - Network Architecture Judgment You make network design decisions that hold up at scale. Fat-tree topologies, rail-optimized designs, congestion control — you have an informed view on all of it. - Great Team Spirit A mission-driven approach to engineering, valuing clear communication, hands-on execution, and collective success over individual silos.

About ai& ai& is a new global AI technology company dedicated to meeting the world's growing demand for AI. Our vision is twofold: to serve as a premier AI lab specializing in localization, and to act as a global infrastructure and compute provider. We are building a unified, optimized global platform that integrates next-generation data centers and infrastructure, heterogeneous compute serving, and advanced model services. We believe that the most effective way to build and scale AI is to own the stack from top to bottom. At ai&, we empower small teams with the autonomy needed to tackle significant challenges. Our approach is to deconstruct large problems into manageable components and solve complex issues collaboratively. We seek highly motivated, mission-driven individuals who demonstrate strong personal agency. We value curiosity as the foundation of talent, and we are looking for people eager to develop alongside our evolving technology and expanding business. We are actively hiring worldwide, with presence in Tokyo, SF, Austin, and Toronto. We are more than happy to meet exceptional talent where they are. Role overview As our IP Strategy expert, you will build and manage ai&'s intellectual property portfolio across our model research, infrastructure technology, and software stack. AI is one of the most contested IP landscapes in the world right now and we need someone who understands both the legal and strategic dimensions of building and protecting IP in this environment. You will work closely with the research, engineering, and product teams to identify patentable innovations, develop a filing strategy, and manage our global patent portfolio. You will also advise on IP risks, freedom-to-operate questions, licensing, and competitive IP landscape analysis. This is a role that requires both legal depth and genuine understanding of the technology we are building. You will be reporting to our Head of Legal. Responsibilities - IP Portfolio Development Build and manage ai&'s patent portfolio across model architecture, training methods, inference optimization, kernel technology, and infrastructure. Develop a filing strategy that reflects our competitive priorities. - Invention Identification Work directly with research and engineering teams to identify patentable innovations. Build processes that surface IP opportunities early in the development cycle rather than after the fact. - Freedom to Operate & Risk Management Advise on IP risks across ai&'s technology stack. Conduct and commission freedom-to-operate analyses. Identify and manage exposure to third-party IP claims. - Licensing & Agreements Negotiate and manage IP licensing agreements, technology transfer arrangements, and open source compliance. Advise on IP provisions in commercial contracts and partnerships. - Competitive IP Intelligence Monitor the competitive IP landscape across AI research, infrastructure, and model serving. Keep leadership informed about relevant patent activity and emerging IP risks. - Global IP Strategy Develop and execute an IP strategy across multiple jurisdictions including Japan, the US, and key international markets. Work with external counsel globally to manage filings and prosecution. You may be a fit if you have the following skills - IP Law Expertise Qualified attorney or patent agent with substantive IP law experience. Deep knowledge of patent prosecution, portfolio management, and IP strategy in a technology context. - AI or Deep Tech Background Understanding of AI, machine learning, or semiconductor technology at a level that allows you to have credible technical conversations with researchers and engineers. A technical undergraduate degree is a strong signal. - Strategic IP Thinking You think about IP as a business asset, not just a legal obligation. You understand how to build a portfolio that creates real competitive value and how to prioritize limited resources across a large innovation surface. - Multi-Jurisdictional Experience Experience managing IP across Japan, the US, and international markets. Familiarity with JPO processes and Japanese IP law alongside USPTO experience. - Great Team Spirit A mission-driven approach to legal work, valuing clear communication, pragmatic advice, and collective success.