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Job Description Role Overview As a Senior Software Engineer on the Rendering Infrastructure team, you will build the systems that turn a GPU-accelerated, physically-based sensor simulator into a production platform —…
Define and drive the architecture of next-generation AI/HPC SoCs, focusing on scalable interconnects, power delivery, and high-performance data movement from concept to silicon.
Build and maintain a cloud-like HPC ML platform, automating data pipelines and model deployment with CI/CD and Ansible for researchers.
Designs and maintains high-performance networking for an AI data center, focusing on GPU clusters, VXLAN, EVPN, BGP, Linux, and automation to support large-scale AI and HPC workloads.
Designs and maintains an OpenStack-based private cloud and Kubernetes environments for AI/HPC workloads, focusing on GPU-driven distributed storage and high-performance infrastructure in Turin.
Design and operate a private cloud and storage infrastructure for AI/HPC workloads using OpenStack, Kubernetes, and distributed storage to support GPU-intensive AI training and inference.
DevOps Engineer Skills: Deep Linux, Scripting - Python, DevOps, Kubernetes Salary: $400k Plus SGD Location: Singapore The ideal candidate comes from a top-tier tech environment (FAANG, elite trading, hyperscale infra).…
Design and operate high-performance networking for an AI data centre, deploying VXLAN/EVPN/BGP and automating with Ansible, Python, and monitoring tools.
At Cornelis we're building the future of AI and HPC networking with an AI-first approach to silicon and software development. We're seeking engineers who are energized by working on cutting-edge ASIC design and…
About The ePlane Company The ePlane Company is at the forefront of India's urban air mobility revolution. Incubated at IIT Madras, we are a deep-tech startup dedicated to designing and building the world's most…
Designs and secures high-performance computing (HPC) environments for research, ensuring compliance with HIPAA, NIST 800-171, and AI governance while enabling secure data workflows and collaborative research.
Build platform infrastructure for AI-driven scientific discovery, spanning distributed systems, HPC, and agentic coding tools to unlock new physics at scale.
Build platform infrastructure for an AI startup discovering new physics at scale, spanning distributed systems, HPC, and scientific computing.
Build and optimize AI infrastructure to measure and maximize compute efficiency for training and inference workloads, ensuring accurate capacity planning and performance at scale.
Own and harden GPU cloud infrastructure for AI workloads, including Kubernetes, OpenStack, and observability stacks, while leading incident response and automation toil reduction.
Design and run Absa’s multi-cloud AI platform (AWS Bedrock, Databricks, Azure AI Foundry) that powers 43 live AI projects across ten countries, focusing on FinOps, zero-trust security, agentic AI infrastructure, and enterprise-grade observability.
Design and maintain data systems to ensure stability and compliance for a high-performance computing project in energy infrastructure, using SQL, Python, Databricks, and PowerBI.
Builds and maintains a cloud-like HPC ML platform for researchers, focusing on data tokenization, model validation, and scalable infrastructure. Automates CI/CD, manages secrets, and ensures platform observability.
Design and run CI/CD, MLOps, and Kubernetes-based cloud infrastructure for a Bitcoin-mining and AI-cloud company, ensuring high availability and security across global datacenters.
Leads a team building a high-performance simulation platform for space systems, coordinating engineering disciplines and managing delivery in an HPC environment.
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