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This is an opportunity for an AI-Engineering Principal Software Engineer, AI Group to get in on the ground floor. Cohu is building the AI engineering platform for semiconductor test from the ground up: cloud and…
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping…
Обязанности: Вакансия компании: ООО "КОМБЛОК" Middle AI / LLM Engineer Ищем прикладного AI-инженера для запуска и адаптации open-source моделей под наши продукты. Наш фокус - не теоретический R D, а быстрая…
About the Role Teserac is building neuron™, a unified AI-native platform for data center observability, intelligence, and workflow automation. neuron™ processes real-time telemetry from thousands of sensors, meters,…
Sierra is hiring a Software Engineer for its Inference team in San Francisco to build and operate the systems that serve AI-agent foundation models at scale — routing traffic across self-hosted GPU models and third-party inference providers while optimizing latency, reliability, capacity, and cost.
Builds and operates the distributed runtime behind Baseten's large-scale LLM inference platform — routing, autoscaling, scheduling, and model-serving APIs on Kubernetes and GPU infrastructure — keeping every deployed model fast, reliable, and cost-efficient while improving the developer experience.
Baseten is hiring a Software Engineer (Inference Performance) in San Francisco to make LLM inference run faster and cheaper on its AI model-serving platform, working across the stack from GPU kernels and memory layout up to scheduling, serving, and routing. Core technologies: Python/C++, PyTorch, TensorRT-LLM, vLLM/SGLang, and CUDA.
RL infrastructure engineer building and scaling end-to-end reinforcement-learning training systems for foundation models: extending distributed training frameworks (DeepSpeed, FSDP), integrating rollout engines like vLLM/SGLang, and building multi-node, multi-GPU launch, monitoring, and failure-recovery systems in Python/PyTorch or JAX.
Build and scale the MLOps/LLMOps infrastructure for Anaplan’s AI-infused scenario-planning platform, automating model training, deployment, and GPU-optimized inference in Kubernetes.
Lead the ML Ops team to build, scale, and secure AI/ML and GenAI infrastructure, automate deployments, and optimize cloud costs for Anaplan’s AI-infused planning platform.
Leads ML Ops infrastructure, cloud cost optimization, and GenAI/LLM deployments for Anaplan’s AI-driven scenario planning platform, managing a DevOps team while ensuring scalability, security, and financial accountability.
Hallo, wir sind die Abteilung Data Analytics! Wir vereinen 18 Spezialistinnen und Spezialisten in den Teams Data Engineering, Analytics & Reporting (BI) sowie Data Science (AI). Gemeinsam machen wir Daten im…
Senior full-stack engineer at Sealing Technologies (a Parsons company) in Columbia, MD (hybrid, ~10% travel), co-leading development of the Zepharis product suite across UI, API, and database layers using Python/FastAPI, React/TypeScript, and PostgreSQL, with Docker-based workflows and CI/CD.
Arcade is hiring a founding/principal ML engineer to own its ML pipeline end to end — training, fine-tuning, evaluating, and shipping small models (embeddings, rerankers, classifiers) that power AI agent tool selection and routing in its MCP runtime, deployable into customer VPCs and air-gapped environments. Core stack: Python plus TypeScript or Go, with deployment via vLLM/ONNX/TensorRT/llama.cpp
Our client is seeking an experienced Python / Spark / AI Developer to help replatform legacy T-SQL workloads onto modern Spark and Delta Lake pipelines while developing robust APIs and AI-enabled capabilities. This…
Оптимизируем наши модели под форматы популярных инференсных фреймворков. Задача создание инфраструктуры для эффективного инференса наших моделях во всех популярных фреймворках: Diffusers, FastVideo, SGLang, vLLM,…
Hands-on senior engineer who builds and runs the manufacturing data platform and AI infrastructure: data pipelines, LLM serving, agentic workflows, and MLOps across factory and cloud. Core stack is Python, SQL, Docker, CI/CD, GPUs and cloud, supporting testing, yield, and cost improvements.
Intermediate-to-senior developer role replatforming legacy T-SQL workloads onto Spark/PySpark and Delta Lake pipelines, while building type-safe Python REST APIs (FastAPI) and AI-enabled features. Core stack: Python 3.12, Spark, Delta Lake, pytest, Docker, Git/CI, with optional LLM and Azure exposure.
We are a fast-growing fintech company headquartered in Singapore, on a mission to drive financial inclusion through technology. Operating across multiple markets in Southeast Asia and beyond, we build and scale…
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