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Senior Solutions Architect, Inference Service Providers
The Senior Solutions Architect will work with strategic inference service providers to optimize large-scale AI inference pipelines and develop reference architectures using NVIDIA's stack. The role involves technical leadership, performance optimization of GPU clusters, and guiding partners on deploying disaggregated inference systems.
AI/ML Engineer III
Designs and deploys advanced AI/ML systems (LLMs, agentic workflows, multimodal models) for government/commercial clients, optimizing for production, edge, and security.
大模型Infra工程师 (VLM推理)
负责 VLM(视觉-语言模型)大规模推理服务的基础设施设计与优化。以极致吞吐与极致成本为核心目标,从服务架构到底层 Kernel 进行全栈压榨,在既定算力预算下支撑尽可能大的业务流量。 1. 推理服务架构设计与优化:主导 VLM 在线推理服务的架构设计与持续演进,深度定制 SGLang 推理框架,针对 VLM 特点(长视觉序列、Prefill/Decode 异构计算)进行系统级适配与优化。持续提升服务吞吐上限,降低单 Token…
智算平台架构师
职级:5/6级 岗位使命 面向多芯片异构算力(GPU/NPU/CPU),建设统一的云原生智算云平台:实现大规模集群的 高可用、可观测、低成本与高性能 运维;以分层解耦的方法论快速定位问题,支撑模型训练、推理与行业应用的持续交付。 核心职责 1、云原生与多云架构 1)基于 Kubernetes 规划多集群/跨可用区/多 IDC 架构,支持混合云与边缘协同;设计高可用与容灾(多活/双活)。…


Senior MLOps Engineer - DSX Enablement
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.
Member of Technical Staff - ML Performance
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…
CUDA-разработчик (инфраструктура и ускорение вычислений) в Автономный транспорт
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…


Senior Developer Relations Manager - Conglomerates
Lead Developer Relations for NVIDIA in India, engaging AI Labs and conglomerates to adopt NVIDIA’s AI platforms through demos, workshops, and technical guidance.
Campus AI Research Engineer (Full-Time)
Research engineer builds and optimizes AI/ML systems for quantitative finance, integrating models into low-latency trading pipelines using Python, C++, and GPU frameworks.
Campus AI Research Engineer (Intern)
Research intern builds and optimizes AI/ML systems for quantitative finance, working with PyTorch/JAX and CUDA on HPC clusters to push low-latency trading models from concept to production.
Старший математик-разработчик, Базовые ML Модели
Привет! Это команда Базовых ML Моделей. Мы строим единую систему оценки качества ML-решений в Озоне — от классических моделей до больших языковых моделей. Наша задача — находить лучшие ML-разработки внутри компании,…

