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Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of…
Release Manager & QA Engineer owning the release lifecycle, deployment pipelines, and test architecture for an AI physics simulation platform, using Python, Playwright, Docker, and GitHub Actions in a Linux environment.
Manages and maintains Riot’s physical/virtual server infrastructure across multiple sites, ensuring stability, security, and performance for AI/HPC clients and a manufacturing subsidiary. Core focus: Windows/Linux admin, virtualization (Proxmox, Nutanix, VMware), Active Directory, Microsoft 365, and hybrid cloud environments.
- Administer Linux systems - Automate infrastructure with IaC - Develop Bash scripts - Develop Python scripts - Diagnose root cause problems - Evaluate HPC software stack - Integrate HPC systems - Lead HPC software…
WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that…
This computational scientist role involves developing machine learning models, managing scientific databases, and building data pipelines to support RNAi-based drug discovery. The position requires strong Python programming skills and experience working in Linux-based high-performance computing environments.
Leads ASIC design for AI infrastructure connectivity, focusing on Ethernet, PCIe Gen 6/7, and UALink. Sets technical direction, mentors engineers, and drives hardware/software integration for high-speed networking and AI interconnects.
Lead ASIC design for high-speed Ethernet and AI interconnect fabrics, defining architecture and RTL for controllers, NICs, and packet processing pipelines to enable rack-scale AI infrastructure.
Design and maintain high-performance storage infrastructure for Bitdeer's AI-native NeoCloud, including Kubernetes CSI drivers, GPUDirect Storage, NVMe caching, and parallel file systems to keep GPUs saturated with data.
Design and run the high-performance network connecting GPU compute clusters for a robotics company building Physical AI systems. Work with Arista, Cisco, Nvidia switches, and high-speed 800 Gbps networking to support training and simulation workloads for real-world robots in food, mining, and transport.
Design and operate high-performance networks connecting GPU and CPU compute clusters for Physical AI robots. Work with Arista/Cisco/Nvidia switches, fiber optics up to 800 Gbps, Python, and Ansible to build low-latency networking that powers training and simulation workloads.
Validates and benchmarks high-performance computing hardware for AI cloud infrastructure, ensuring reliability and scalability in Lambda's San Jose office.
Job Description Location: Hong Kong — on-site (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory…
Build low-level reinforcement learning environments targeting hardware features like GPUs, FPGAs, and vector ISAs to stress-test AI models, using C/C++/CUDA and Python.
Oversee the end-to-end delivery of a global, 10,000+ GPU AI cloud platform, coordinating data center builds, GPU clusters, and cloud software releases across regions.
Software Engineer – High-Performance Computing (HPC) / Quant Technology Location: London – Hybrid Type: Permanent, Full-time The opportunity We’re working with a highly specialised technology business that solves some…
The Presales Solutions Engineer will act as the technical point of contact for customers, designing and deploying HPC and cloud infrastructure solutions to support their simulation and computational workloads. The role involves leading technical Proofs of Concept, providing ongoing support, and collaborating with sales teams to drive project success.
Lead AI infrastructure programs at Google, coordinating hardware and software teams to build and deploy next-gen TPU clusters and AI platforms for global scale.
The Senior EDA & HPC Infrastructure Engineer will manage and optimize Linux-based EDA compute platforms and AWS cloud infrastructure to support engineering workloads. This role involves hands-on administration of job scheduling, licensing, storage, and networking to ensure high performance and cost-efficiency.
The Head of Data Center Design will lead the technical architecture and design for a large-scale 300 MW AI data center in Poland. This role involves defining power and cooling strategies, managing modular POD architecture, and overseeing multidisciplinary design reviews to ensure project execution meets reliability and capacity targets.
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