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About Nunchux AI Nunchux AI builds infrastructure that makes multimodal generative AI faster and cheaper to serve, and easier to build on. Founded by MIT PhDs Muyang Li, Yujun Lin, and Zhekai Zhang with CMU Professor…
Build and optimize Triton’s distributed GPU communication and execution stack for AMD Instinct accelerators, enabling scalable multi-GPU AI training and inference.
Senior software engineer (10+ years) providing cloud-native, full-stack software and web development for a government customer in Dayton, OH. Work spans JavaScript/TypeScript, Python, Angular/React frontends and Kubernetes/cloud-native infrastructure, with AI/ML tooling experience and ability to obtain a TS/SCI clearance.
Location: Must be based in or within a commutable distance to Melbourne (VIC), Brisbane (QLD) or Sydney, NSW Work Authorization for Australia: Must be authorised to work in Australia without requiring sponsorship now…
Build and run cloud-native CI/CD, MLOps, and GPU infrastructure for Bitcoin mining and AI workloads using Kubernetes, Terraform, and observability stacks.
Inference runtime engineer working at the core of vLLM, optimizing LLM and diffusion model serving across diverse hardware and model architectures (MoE, multimodal, agentic). Day-to-day is systems/ML engineering in Python and PyTorch to make AI inference cheaper and faster.
负责设计、实现、维护 AI 和高性能计算所需要的高性能网络通信框架和大模型推理场景的性能优化，聚焦模型通信场景的能力建设，完善集合通信、点对点通信等通信方式与推理框架的联合方案设计，追求极致的推理性能。 1. 精通 cpp 语言编程，熟悉 python 编程，具备优秀的系统开发、调试、优化能力和经验； 2. 具备扎实的计算机理论基础，对数据结构及算法有较强的功底，有高性能通信框架相关经验优先； 3. 有通信库如…
Owns the performance and energy benchmarking numbers for Neurophos' T100 optical AI inference accelerator, producing results at every fidelity level: roofline/limiter models, architecture performance models, RTL simulation, and measured competitor GPUs. Daily work centers on Python benchmark harnesses, GPU profiling (Nsight), and LLM inference stacks like vLLM and TensorRT-LLM, onsite in Austin or
Senior Software Engineer at Maersk in Bengaluru building network automation, observability, and AI-driven operations tooling — Python-based platform engineering (FastAPI, microservices, PostgreSQL) combined with LLM/agentic AI (LangChain/LangGraph, RAG, vector stores) to intelligently automate Maersk's global network and perimeter infrastructure.
Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to…
Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging…
Line of Service Advisory Industry/Sector FS X-Sector Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging…
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Senior ML engineer on Moveworks' ML infrastructure team (ServiceNow) who builds, optimizes, and scales end-to-end infrastructure for training, evaluating, and serving LLMs in production. Core technologies include PyTorch/Hugging Face, LLM serving frameworks like vLLM and TensorRT-LLM, Python plus C++/Go, and distributed training and inference pipelines.
Research Engineer at Lightning AI to optimize AI training and inference workloads on PyTorch Lightning infrastructure, improving performance and scalability for production systems.
Build and optimize PyTorch-based training and post-training pipelines for large language models, improving model quality and training efficiency while collaborating with research and infrastructure teams.
Senior DevOps/MLOps Engineer at VinFast (EV maker) who builds and runs the infrastructure behind its Agentic AI and VoiceAI systems: deploying LLM model serving on AWS EKS with GPU optimization (vLLM, Triton), plus IaC, CI/CD, auto-scaling and observability for ultra-low-latency production AI services.
VinFast is hiring a Foundation AI Engineer to research, pretrain, and post-train LLMs/SLMs powering its robot and virtual assistant products, including Vietnamese-language domain adaptation, RLHF/DPO alignment, distributed training on GPU clusters, and model distillation for on-device deployment.
AI Engineer at EV maker VinFast building an in-vehicle conversational AI assistant: fine-tuning and evaluating LLMs (SFT, LoRA, RLHF/DPO), building RAG and multi-agent orchestration, optimizing models for on-device edge inference, and running production MLOps/LLMOps. Core stack: Python, PyTorch, HuggingFace, vLLM, TensorRT/ONNX/TFLite.
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