Ethernet Jobs

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. We are seeking a GPU Cluster Architect to drive the design of our next-generation AI infrastructure. In this high-impact, hands-on role, you will make end-to-end architectural decisions across compute, networking, and storage, ensuring our platforms can meet the massive scale, performance, and reliability requirements of modern AI workloads. You will define how tens of thousands of GPUs are interconnected, cooled down, powered, and optimized across multiple data center sites.

$184k - $318k

Cerebras Systems is seeking a senior front-end design engineer to join the world-class team designing and developing the next generations of the Cerebras Wafer Scale Engine (WSE). This role involves deep expertise in RTL design and integration, focusing on high-performance, power-efficient, and scalable solutions. You will collaborate closely with verification, physical design, software, and system teams to bring innovative semiconductor architectures from concept to production, tackling the unique challenges of building WSE systems. The company's architecture enables industry-leading AI training and inference speeds, transforming AI applications and unlocking real-time iteration and agentic computation.

$200k - $290k

Together AI

As a Customer Success Engineer at Together AI, you will be the named technical owner for one of our most strategic customer relationships. You will serve as the primary technical point of contact across all infrastructure domains, including compute, networking, storage, and facilities, ensuring the flawless delivery and operational health of large-scale GPU deployments. This role is crucial for driving both customer success and company growth by combining deep infrastructure expertise with high-stakes customer partnerships.

$260k - $290k

Lightmatter is seeking a Principal Machine Learning Infrastructure Researcher to join our Machine Learning team. This team is focused on inventing novel hardware systems using Lightmatter technology and modeling the performance of Lightmatter-enabled systems on both training and inference workloads. This is primarily a creative role where you need to think outside the box to push the boundaries of systems research with the power of silicon photonics at your fingertips. This role will work closely with our product, solutions architecture, and engineering teams to generate impactful performance analysis, create high-performance rack-scale designs, and publish cutting-edge ML systems research.

$300k - $350k