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AI Infrastructure Engineer 5 days, Mon - Fri 8.30am to 5.30pm Salary: $5,000 to $7,000 Location: Kaki Bukit Operating Systems: Deep expertise in Linux systems administration, kernel tuning, and shell scripting…
Job Summary : As a Senior Forward Deployed Engineer FDE) at Rackspace Technology, you will be embedded directly with our most strategic enterprise customers to architect, build, and deploy high-impact AI solutions.…
Business Area: IT Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers,…
University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks…
Votre rôle sera d'être expert technique au sein de l'équipe ISA (HPC Installation & System Acceptance.MissionsPrésentation générale et contexte du posteEn tant qu'Ingénieur Système HPC Confirmé, vous…
Architects SoC networking engines, SmartNIC/NIC designs, and interconnect fabrics for custom AI servers at a US-Israeli startup in Raanana: defining scale-up/scale-out topologies, RDMA/RoCEv2 transport offloads, and hardware acceleration of AI collective operations, collaborating across silicon, firmware, and software teams.
Operates and secures the network and security infrastructure behind large-scale AI/GPU clusters, data centres and cloud services: configuring Juniper, NVIDIA Spectrum/Cumulus and Fortinet gear, managing incidents, firewall policies, monitoring and hardening, plus cabling/optics work, Python/Ansible automation, docs, and 24x7 on-call.
Job Description The Operations Engineering Manager will own the operational reliability of the company’s GPU ‑ accelerated HPC infrastructure and lead a team of Operations Engineers. This role combines technical…
Senior systems engineer who specifies, selects, and qualifies the server, storage, and networking hardware platforms behind VDURA's PanFS parallel file system for AI and HPC workloads — leading hardware bring-up, benchmarking (throughput, latency, IOPS), and vendor qualification. Core tech: x86 servers, SAS/SATA/NVMe, Ethernet/InfiniBand/RDMA, PCIe Gen5/6, KVM.
Builds core components of VDURA's high-performance parallel file system and distributed storage platform for AI/HPC workloads — writing C/C++ on Linux/BSD, developing metadata services and datapaths, and optimizing for NVMe/RDMA-class performance. Hybrid role based in Kraków or Warsaw, Poland, collaborating with teams across the US and Europe.
Software Architect defining the architecture of VDURA's high-performance distributed storage platform (parallel file systems, metadata services, cloud-native infra) for AI and HPC workloads. Hands-on C/C++ systems work on Linux/BSD, performance tuning, and mentoring engineering teams. Based in Kraków or Warsaw, hybrid preferred.
Cerebras is hiring a Network Systems Architect to define the scale-up (and scale-out) network architecture for its AI accelerator platforms — designing interconnects, protocols, and switching derived from real workload communication patterns. It's a hands-on principal-level role (12+ yrs) spanning fabric specs, modeling, and bring-up, grounded in Ethernet/IP/RDMA and low-latency interconnect exper
NVIDIA is hiring a software engineer for DGX Cloud AI infrastructure to bring up, benchmark, debug, and optimize large-scale distributed LLM training and inference workloads on multi-GPU, multi-node clusters. Day to day involves root-causing failures, building benchmark/automation tooling, and tuning performance with PyTorch, NeMo/Megatron, TensorRT-LLM, and CUDA.
Design, optimize, and maintain high-performance computing software for KLA's semiconductor manufacturing platforms—building parallel, GPU-accelerated, and distributed workloads on large Linux clusters while collaborating on node, storage, and rack-level hardware design. Requires strong C++/Java, Linux systems, and parallel computing (MPI/OpenMP) experience.
Principal-level engineer at NVIDIA serving as the technical focal point for rack-scale system software/firmware in cloud service provider (CSP) engagements. Day to day: aligning architecture with CSP teams across fabric management, GPU/NVSwitch error handling and recovery, health telemetry APIs, firmware update orchestration, and software-driven serviceability for fleet-scale DGX/HGX deployments.
Lead a Santa Clara-based engineering team at NVIDIA building rack-scale infrastructure software — control planes, lifecycle orchestration, health analysis, and recovery — for data center systems like GB200/GB300. A management role (12+ years experience) requiring technical depth in Go/C++/Rust, Linux, and distributed systems.
Senior systems administrator to deploy, tune, and run multi-rack GPU clusters for a mission-led, not-for-profit AI organisation in Cambridge — covering high-performance networking (InfiniBand/RDMA/RoCE), Linux hosts and VMs, storage, and infrastructure-as-code with Terraform/OpenTofu. Onsite at a Cambridge city-centre office; £80k–£100k per year.
Staff-level security engineer who defines and owns the end-to-end security architecture of Zettabyte's multi-tenant GPU cloud for AI workloads: tenant isolation, runtime/intrusion detection, supply-chain security, and SOC 2/ISO 27001 compliance. Core stack: Kubernetes, AWS/GCP/Azure, Falco/Cilium/OPA, Vault, Go/Python.
Senior SRE designing, operating, and debugging large-scale multi-provider GPU clusters used for distributed AI training and inference. Day-to-day spans GPU systems, high-speed networking (InfiniBand/RoCE/NVLink), Kubernetes/Slurm orchestration, Linux internals, automation, and GPU-specific observability, plus hands-on customer troubleshooting.
Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the…
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