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Principal engineer optimizing large-language-model inference at a major bank, designing quantization, speculative decoding, and benchmarking strategies to cut cost and latency for production AI workloads.
Build high-performance C++ SDKs for computer vision, deploy and optimize ML models across diverse hardware (Qualcomm SoCs, Intel CPUs, NVIDIA GPUs), and maintain Python-based CI/CD automation pipelines at Zebra Technologies in London.
Design and deliver production-grade generative AI solutions for enterprise customers, focusing on LLM training/deployment, RAG workflows, and agentic inference using NVIDIA's software and hardware ecosystem (CUDA, TensorRT-LLM, NeMo).
Lead a Developer Relations team covering Higher Education and Research, championing NVIDIA's accelerated computing stack (CUDA, NeMo, BioNeMo, Omniverse, etc.) across academic labs and driving AI for science adoption.
Solution Architect at NVIDIA focused on designing and optimizing large-scale LLM and Agentic AI inference systems for cloud service providers, leveraging NVIDIA accelerated computing platforms and tools like TensorRT-LLM.
At the National Robotics Engineering Center (NREC), it is our engineers and technicians who drive the breakthroughs that define our success. The members of our technical staff collaborate closely with leadership and…
At JPMorganChase, we are building the infrastructure that powers the next generation of enterprise AI — and we need the best minds in LLM inference to help us do it. This is your opportunity to work at the intersection…
As a Senior GPU & AI Infra Expert focusing on Cloud Service Providers (CSPs) in China, you will be a core technical pillar in NVIDIA’s CSP SA team, responsible for driving GPU/AI Infra technical strategy,…
Research and implement hardware-aware neural network optimization techniques (quantization, pruning, NAS) and optimize ML inference pipelines and compilers/runtimes (TVM, MLIR, TensorRT, ONNX Runtime) for edge devices at Huawei's Software-Hardware System Optimization Lab in Edmonton.
Type: Full-Time (W2) On-Site/Hybrid, Arlington, VA DeepSig Inc. is a venture backed and product centric technology startup building revolutionary wireless processing software solutions using cutting edge machine…
Take the next step in your career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services to the U.S. Federal Government and…
Senior AI/backend engineer builds and scales Python-based FastAPI services, RAG pipelines, and LLM agent systems on AWS/Azure, with cloud-native tooling and security best practices.
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9…
The Lead AI Engineer will design and deploy production-grade computer vision and speech processing pipelines for Digital Green's multilingual agricultural advisory platform, FarmerChat. This role involves building optimized inference systems, defining evaluation frameworks, and mentoring junior engineers to support smallholder farmers globally.
Optimize LLM/VLM inference performance on NVIDIA GPUs—profiling workloads, building/tuning CUDA kernels, and improving open-source inference engines like TensorRT-LLM and vLLM.
Develops AI/ML compiler tools for embedded processors, optimizing models for ARM/RISC-V hardware using C++ and LLVM to enable high-performance inference across NXP’s semiconductor platforms.
The ML/AI Compiler Engineer will design and implement compiler technologies to optimize AI/ML models for embedded automotive SOCs. The role involves working with C++, LLVM, and MLIR to improve inference performance on ARM and RISC-V architectures.
Data Scientist building and maintaining enterprise AI infrastructure—agentic AI frameworks, low-latency LLM inference stacks, and MLOps/DevOps pipelines—primarily on AWS for OCBC Bank in Singapore.
The Principal Software Engineer will architect and build a Retail and CPG platform using NVIDIA's full-stack AI technologies, including Agentic AI, NeMo, and cuOpt. This role involves hands-on development and cross-functional collaboration to deliver production-ready AI solutions for digital commerce and supply chain optimization.
About Owl AI Owl AI is the world's first end-to-end AI platform built to bring fairness, clarity, and immersion to judged and referee-influenced sports. Founded by Olympic athlete and X Games CEO Jeremy Bloom…
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