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Senior Applied Scientist at Nebius designs and optimizes efficient LLM/VLM inference methods, turning research into production systems using PyTorch, CUDA, and Triton.
Senior Machine Learning Engineer at Nebius in Palo Alto optimizing LLM inference systems for performance, cost, and reliability using frameworks like vLLM and PyTorch.
Designs and implements cloud infrastructure and MLOps solutions for AI teams, advising on GPU orchestration, Kubernetes, and IaC tools like Terraform.
The Principal Solutions Architect will lead technical presales and solution design for strategic customers in Japan, focusing on large-scale AI/ML infrastructure and GPU-accelerated cloud workloads. The role involves acting as a trusted advisor to executive stakeholders and collaborating with internal product and engineering teams to drive adoption of the Nebius AI cloud platform.
Overview The AI Infrastructure team is responsible for building and operating large-scale, highly reliable, and efficient GPU infrastructure that powers Microsoft’s AI ecosystem. We host the training and inference…
Develop C++, Python, and HIP software modules for datacenter GPU systems within the ROCm team, optimizing performance and resolving technical issues.
Company Qualcomm Technologies, Inc. Job Area Engineering Group, Engineering Group > Machine Learning Engineering LLM Serving Engineer (Cloud AI Engineering) Qualcomm is utilizing its traditional strengths in digital…
Senior Deep Learning Engineer builds and deploys advanced perception models for cloud and edge devices, focusing on 3D vision, video/temporal behavior, or vision-language models using PyTorch, CUDA, and NVIDIA stacks.
The Senior DIC Software Development Engineer will design and optimize 2D and 3D Digital Image Correlation algorithms for video extensometer products. The role involves high-performance C++ development, algorithm validation, and integration with imaging hardware to deliver real-time measurement solutions.
AI Infrastructure Engineer 5 days, Mon - Fri 8.30am to 5.30pm Salary: $5,000 to $7,000 Location: Kaki Bukit Job scopes: Compute & Cluster Management Architect, configure, and maintain high-density multi-GPU compute…
AI Infrastructure Engineer 5 days, Mon - Fri 8.30am to 5.30pm Salary: $5,000 to $7,000 Location: Kaki Bukit Operating Systems: Deep expertise in Linux systems administration, kernel tuning, and shell scripting…
London | £250k-£700k+ TC | Quant Trading / Systematic Funds I'm working with several of the world's leading quantitative trading firms and systematic investment managers looking for exceptional engineers to…
This is one of the world's leading algorithmic trading firms, looking for engineers with large-scale Linux expertise to take on a high-impact role with broad scope, covering everything from HPC/AI cluster design…
The role We are looking for an early-career engineer who enjoys understanding how modern AI systems actually work. You will work across model experimentation, inference, evaluation, deployment, and ML systems…
About Centific Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe,…
NVIDIA is seeking a Senior MLOps Engineer to join our DSX Enablement team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads. We partner with the world's most…
We are seeking a Senior Software Engineer to help build and improve AI Developer Tools connected through web APIs, SDKs, CLIs, and Agents. Apply your expertise with delivering user-focused cloud products that enable…
NVIDIA is looking for a Machine Learning Engineer to join the GPU accelerated Apache Spark team. Apache Spark is the most popular data processing engine in data centers for running massive scale workloads for ETL, SQL,…
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next…
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