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Lead AI infrastructure sales engineering for a high-performance inference platform, bridging customer needs with technical and commercial realities. Focus on team leadership, strategic PoC-to-production transitions, and aligning engineering resources with revenue goals.
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at…
Вы будете брать готовые нейросети и заставлять их быстро работать на реальном оборудовании клиента. Ваша задача - сделать так, чтобы сложная модель искусственного интеллекта не «тормозила», укладывалась в лимиты памяти…
Builds and prototypes AI integrations for Nebius’s cloud platform, shaping reference architectures and product requirements while collaborating with partner engineering teams.
Build and optimize GPU infrastructure for AI workloads, profiling performance across hardware and frameworks to guide platform decisions and hardware development.
Senior ML Engineer builds and optimizes low-level GPU inference kernels and runtime components for a large-scale AI cloud platform, focusing on performance tuning and hardware integration.
Senior ML Engineer at Nebius builds and optimizes high-performance inference and fine-tuning platforms for large language models across tens of thousands of GPUs, focusing on throughput, latency, and cost-per-token.
The Senior ML Solutions Architect will help customers design and implement optimized LLM inference and fine-tuning workflows using the Nebius Token Factory platform. This role involves architecting scalable AI applications, providing technical expertise in RAG and prompt engineering, and collaborating with internal engineering teams to improve the platform.
Senior ML Solutions Architect designs and optimizes serverless LLM inference and fine-tuning workflows for customers using Nebius Token Factory, focusing on production deployment and scalability.
Nebius is seeking a Senior Sales Engineer to act as a technical partner for customers using their AI inference platform. The role involves leading technical discovery, validating PoC architectures, and ensuring that customer AI workloads are scalable and economically viable on their GPU-backed infrastructure.
Senior Sales Engineer at Nebius designs and validates scalable AI inference architectures for enterprise customers, bridging technical feasibility with commercial growth in a global AI cloud platform.
Builds and optimizes low-level GPU kernels and runtime components for an AI inference platform, integrating new hardware and collaborating with ML teams to improve performance at scale.
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through…
Early-career ML Solutions Architect builds and tests LLM-based applications, benchmarks models, and optimizes inference on a serverless AI platform, learning scalable AI deployment with mentorship from senior architects.
Principal ML Solutions Architect designs and optimizes serverless LLM inference and fine-tuning workflows for enterprise customers, using frameworks like vLLM and TensorRT-LLM on Nebius's AI cloud platform.
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.
Nebius is seeking a Senior Software Engineer to build and scale their GPU-native Serverless AI platform. You will design core components like schedulers and runtimes, optimize for low-latency performance, and lead technical architecture for AI infrastructure.
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