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Embedded Software Engineer III
GROW WITH US AND STAY EXTRAORDINARY: Launch your career to new heights with Innoflight—one of San Diego’s fastest-growing Aerospace and Defense innovators. Here, visionary minds engineer the future of space technology…
ML Engineer (Middle+/Senior)
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 доставка…
Data Engineer/Machine Learning Engineer
Realtà aziendale Realtà tecnologica internazionale specializzata in soluzioni per Embedded, IoT, Edge Computing e Intelligenza Artificiale . Opera in un ambiente altamente innovativo, con focus su Machine Learning,…


Software Engineer - Inference Performance
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.

Staff / Senior Machine Learning Engineer, AV Core
Senior/Staff ML engineer on Wayve's Core Model Safety team (AV Core) in Sunnyvale, leading learned emergency manoeuvre prediction and collision detection for autonomous vehicles — training and deploying end-to-end AV models with Python and PyTorch on large-scale fleet data, from research through evaluation to deployment evidence.
Machine Learning Engineer — Pre-training (LLM)
This engineer extends and scales distributed LLM pre-training infrastructure at a foundation-model research lab: modifying frameworks like DeepSpeed/FSDP, implementing distributed optimizers from math specs, and building launch, monitoring, and checkpointing systems across multi-node GPU clusters using PyTorch or JAX.
Machine Learning Engineer — GPU Kernel
Optimizes GPU/CUDA kernel performance for foundation-model training and inference at a dedicated AI research lab: profiling deep-learning workloads, building benchmarks and automation tools, and integrating high-performance kernels with PyTorch using C++ and Python.
Senior and/or Principal Software Engineer - AI Frameworks
Build and optimize AI frameworks, compilers, and runtimes to run large language models efficiently at cloud scale, profiling and benchmarking across GPUs and Microsoft silicon.

Member of Technical Staff - Inference Runtime
Systems engineer on Modal's Inference Runtime team building and optimizing the container runtime stack used to run ML inference and training workloads — working deep in Linux, containers, filesystems, GPU drivers, and distributed systems, with production code in Rust and Go.
Infrastructure Support Engineer
The Role As Infrastructure Support Engineer, you are the first technical point of contact for our customers when something goes wrong with their VMs or GPUs. You dig into logs, find the root cause, fix what you can,…
Sr Software Developer
VP-level senior engineer in Morgan Stanley's Machine Learning Research group: works with ML researchers to productionize and deploy ML solutions, maintains production systems, and builds MLOps tooling to manage and reuse ML models firm-wide. Core stack: Python, Java/C/C++, Docker/Kubernetes, AWS/Azure/Terraform, Linux.
