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Designs and sells high-performance server and AI computing solutions for government and finance clients, translating business needs into scalable hardware architectures and technical proposals.
Oversees end-to-end data centre construction and commissioning in Southeast Asia, managing design, procurement, site delivery, and handover for high-density AI/GPU infrastructure projects.
Research and develop post-training methods (RLHF, SFT, PEFT, reward-based optimization) for Enchant, Iambic's large multimodal transformer model used in drug discovery, using Python and PyTorch at scale.
Research and develop post-training methods for a large multimodal transformer model (Enchant) in drug discovery, focusing on fine-tuning, reinforcement learning, and evaluation frameworks to advance AI-driven therapeutic development.
DevOps Engineer leading AI infrastructure in Madrid, focused on containerized deployments and LLMOps using Docker, Kubernetes, Ollama, LangChain, and CUDA Toolkit with Python and Java.
Lead the architecture and development of Anthropic's accelerator-agnostic inference runtime, optimizing performance and reliability for Claude across GPUs, TPUs, and Trainium while mentoring engineers and driving cross-team technical alignment.
YOUR IMPACT As an Enterprise AE covering Automotive, Industrial or Semiconductor you own Luminary's revenue motion across a diverse set of engineering-intensive industries — automotive OEMs and Tier-1 suppliers,…
YOUR IMPACT As an Enterprise AE for Aerospace & Defense, you are Luminary's primary revenue driver into aerospace OEMs, eVTOL/UAM companies, space launch providers, propulsion manufacturers, and defense prime…
Data Scientist designing and developing data pipelines, quantitative models, and analytics on large datasets using Python, Pandas, and SQL databases for an AI-powered defense and national security startup.
About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our…
Architect large-scale distributed simulation environments and perform big data analysis for aerospace/constellation-level challenges using Python/C++ on HPC infrastructure.
Build production agentic AI systems and data pipelines on AMD Instinct GPU infrastructure, including agent orchestration, memory/context databases, skills frameworks, and evaluation infrastructure using Python, Kubernetes, and LLM serving stacks like vLLM and SGLang.
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies…
Embedded Cloud & Customer Solutions Engineer at AMD’s AI team, owning end-to-end deployment and production support of AMD Instinct GPU clusters for AI customers. Focuses on cluster bring-up, performance tuning, incident resolution, and transferring operational expertise to customers while contributing field insights to AMD’s open-source and product teams.
The Senior Linux System Administrator will lead IT infrastructure efforts at the CDC, managing Linux environments, virtualized systems, and HPC clusters. The role involves automating configurations with Ansible, ensuring security compliance, and mentoring junior staff.
About DriveNets DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of…
Design and optimise FPGA-based systems for low-latency, high-throughput data processing and custom hardware acceleration in a small hardware engineering team focused on performance-critical infrastructure.
Careers at Keel Keel Infrastructure is a publicly traded energy and digital infrastructure company that develops and owns data centers and power assets across North America. At Keel, you’re not just joining a company,…
The Senior Software Engineer in Build Engineering will develop internal tools and processes to manage the build, test, and release of Graphcore's machine learning software stack. This role involves working closely with development and QA teams to ensure reproducible builds and efficient dependency management within Linux-based environments.
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