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About the Role: As a Staff Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These…
Designs and deploys advanced AI/ML systems (LLMs, agentic workflows, multimodal models) for government/commercial clients, optimizing for production, edge, and security.
Design and build scalable, cloud-native AI infrastructure including MLOps pipelines, multi-modal feature platforms, and production-grade model training/deployment workflows using AWS, GCP, Azure, and AliCloud.
Build and deploy ML models for search relevance and recommender systems to help users discover second-hand fashion items in Vinted’s massive peer-to-peer catalog.
Builds and optimizes AI training pipelines and inference services for Fin's LLM-based customer support agent, focusing on GPU performance and scalable systems in Berlin.
Principal Data Scientist builds and scales AI/ML systems for media metadata and discovery, focusing on computer vision, generative models, and multimodal architectures.
The Senior Forward Deployed Solution Engineer will work directly with customers to design, deploy, and troubleshoot complex infrastructure architectures involving Kubernetes, AI/GPU systems, and cloud-native environments. This hands-on role requires deep technical expertise in automation and systems engineering to ensure successful customer outcomes and production readiness.
Designs and optimizes GPU-powered infrastructure for GenAI/LLM workloads, focusing on distributed training, performance tuning, and Kubernetes/OpenShift deployments.
Senior MLOps Engineer on NVIDIA's DSX Enablement team, building and deploying AI solutions on NeoCloud/NCP platforms with focus on distributed training, inference optimization, and MLOps pipelines using Python, C++/Go/Rust, Kubernetes, and the NVIDIA stack.
Lead end-to-end deep learning and graph neural network solutions on Databricks Lakehouse, driving AI strategy and mentoring teams at a major grocery retailer.
Why choose us? Are you ready to take the next step in your career? Join us for an exciting opportunity at Albertsons Companies, where innovation and customer service go hand-in-hand! At Albertsons Companies, we are…
This role involves building and optimizing OpenAI's inference stack for AWS Trainium hardware. The engineer will work across the stack, including developing high-performance kernels, improving compiler support, and optimizing model execution for frontier-scale AI systems.
Member of Technical Staff - ML Performance About Us Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from…
Senior Graphic Designer shapes Humanoid’s visual identity and brand expression, creating cohesive design systems for robotics, industrial, and consumer-facing projects while collaborating with hardware/product teams.
Наша команда разрабатывает вычислительное ядро для направления автономного транспорта. Ищем сильного CUDA-разработчика. Откликайтесь, если профессионально пишете на CUDA и C++, понимаете модель исполнения GPU и…
Build AI inference systems that serve large-scale models with extreme efficiency, optimizing GPU kernels and compilers, working with vLLM, CUDA, and other AI/ML technologies to push the frontier of accelerated computing.
Designs and optimizes large-scale LLM serving infrastructure at LinkedIn, focusing on GPU performance, cost efficiency, and latency improvements for AI models in production.
Machine Learning Engineer at Deeter Analytics building deep-learning models on market data, working end-to-end from raw data to production models using Python, PyTorch, and GPU infrastructure in a fully remote role.
Leads hands-on Developer Relations for India's AI Labs, helping researchers and teams adopt NVIDIA platforms for model development, training, optimization, deployment, and production inference; core technologies include NVIDIA AI tools like NIM, Triton, CUDA, and TensorRT.
Lead Developer Relations for NVIDIA in India, engaging AI Labs and conglomerates to adopt NVIDIA’s AI platforms through demos, workshops, and technical guidance.
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