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AI Platform Support Engineer (APAC)
Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production…
Software Engineer II
Software Engineer II on Microsoft's AI Infrastructure team, building and operating hyperscale GPU infrastructure that powers training and inference for Copilot and Azure AI Foundry. Day to day: developing distributed services in Go, Rust, Python, C++ or C# on Kubernetes, plus automation and tooling for GPU fleet operations.
Senior Engineering Manager, Kernel and Virt
Senior Engineering Manager leading DigitalOcean's Inference Orchestration team: managing engineers while owning strategy, architecture, and delivery of Kubernetes-based AI infrastructure for large-scale GPU inference, fine-tuning, and training workloads. Core tech: Kubernetes at scale, GPU scheduling (NVIDIA/AMD), and LLM serving.
Forward Deployed Engineer, AI and GenAI Inference Optimization
Customer-facing Forward Deployed Engineer optimizing GenAI/LLM inference workloads on AMD Instinct GPUs and data center CPUs: tuning vLLM/SGLang pipelines, writing Triton/HIP/CUDA GPU kernels, profiling bottlenecks, and shipping performance and accuracy improvements to strategic customers. Requires 8+ years' experience with Python, C++, and GPU optimization.
Senior Forward Deployed Engineer, AI and GenAI Inference Optimization
Customer-facing senior engineer on AMD's Forward Deployed team in Riyadh, enabling and optimizing GenAI/LLM inference on AMD Instinct GPUs for strategic customers: tuning vLLM/SGLang pipelines, writing GPU kernels (Triton/HIP), and profiling to hit performance targets. Core stack: Python, C++, ROCm/CUDA.
Senior Graphics Machine Learning Engineer
Senior ML engineer at AMD developing and optimizing machine learning models for graphics, rendering, and visual computing on GPUs, collaborating with the Applied Research and Engineering team. Core tech: Python, C++, ML frameworks, neural networks, real-time 3D graphics pipelines, and GPU-accelerated workloads.
Computer Vision Engineer
Builds and deploys industrial 2D/3D computer vision and LiDAR systems for factories, warehouses, and robotics — covering object detection/tracking, measurement, camera-LiDAR calibration and fusion, and real-time edge deployment. Stack: Python, C++, OpenCV, PyTorch/TensorFlow, YOLO, point cloud processing, NVIDIA Jetson.


