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Job Description: Situated in the heart of Singapore's Central Business District, Rakuten Asia Pte. Ltd. is Rakuten's Asia Regional headquarters. Established in August 2012 as part of Rakuten's global…
deciBel Research has an immediate opening for a Computer Vision Engineer in Dayton, OH. Position Description: deciBel Research is a seeking a Computer Vision Engineer to design, develop, and optimize advanced computer…
ABOUT WIND RIVER Wind River is a global leader in delivering software for mission-critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems…
Job Title: Lead AI/ML Engineer (Computer Vision) Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: None Employee Type: Regular Percentage of Travel Required: Up to 10% Type…
About Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of…
Инженер компьютерного зрения (Computer Vision) О компании Эврионика — молодая компания, специализирующаяся на разработке и внедрении современных цифровых решений для бизнеса. Мы помогаем нашим клиентам автоматизировать…
1. KVCache 核心系统研发，负责 LLM 推理场景下 KVCache 的架构设计与工程实现，优化 KVCache 的内存管理、显存分配与生命周期调度策略，研究并实现 Prefix Cache、Radix Tree Cache 等高效缓存复用机制，提升 Cache Hit Rate。 2. 设计跨机、跨节点的分布式 KVCache 共享与迁移方案，实现 KVCache 在 GPU HBM / CPU DRAM / NVMe…
A PhD internship on Apple's Ads team in Hyderabad, contributing to machine learning for Apple's advertising platforms (App Store, News, Maps ads) — developing and deploying ML models, analyzing large-scale data, and writing production code for ad relevance, forecasting, and performance. Core stack: Python/Java/Scala/C++, TensorFlow/PyTorch, Spark, and distributed systems.
Build, train, and deploy AI models for drug discovery in a co-innovation lab with NVIDIA. The role involves full-stack development, distributed training on multi-GPU infrastructure, and creating tools for scientists using Python, PyTorch, and cloud platforms.
Builds and optimizes the model-serving runtime behind River's AI API — request scheduling, continuous batching, KV-cache management, and multi-GPU execution — to deliver fast, reliable, cost-efficient inference for large transformer models and RL sampling workloads. Core stack: Python, C++/Rust, CUDA, and frameworks like vLLM/SGLang/TensorRT-LLM.
The place to find available career opportunities at NVIDIA for you and people you know. We are now looking for a Senior Performance Software Engineer for Deep Learning Libraries! Do you enjoy tuning parallel algorithms…
Senior Product Manager defines the strategy and roadmap for Efficient Computer’s developer platform, including compiler, SDK, and AI/ML tooling, to drive customer adoption and ecosystem growth.
We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your…
Build the core LLM inference runtime for an AI infrastructure startup: batching, scheduling, routing, KV-cache/prefix caching, and multi-GPU model serving in Rust, plus profiling and architecture decisions with the founding team. Full-time onsite in San Francisco or the South Bay Area; $230k-$350k base plus equity.
ABOUT THE JOB Valkyrie Aero is seeking a software engineer to develop computer vision and sensor fusion software for an airborne mission system. Software Engineers in this role develop real-time detection,…
Senior engineer in HPE's Private Cloud AI team building the model runtime of HPE AI Essentials, an enterprise LLM inference platform for on-prem and air-gapped environments. Day to day: engine integration, continuous batching, KV cache management, distributed execution, and Kubernetes orchestration for low tail latency and high GPU utilization. Hybrid, 2 days/week in an HPE office.
Leads the technical direction of the LLM inference runtime in HPE AI Essentials: engine integration (vLLM, TensorRT-LLM, etc.), continuous batching, KV cache management, distributed GPU execution, and the Kubernetes orchestration layer. Goal is low tail latency and high GPU utilization on enterprise-owned, including air-gapped, infrastructure.
Education: Bachelor’s degree in Computer Science, Engineering, Robotics, or a related field. Advanced degrees or relevant AI, machine learning, or computer vision certifications preferred. Work Experience: Substantial…
Machine learning engineer on a map-matching team building GNSS-denied navigation (MilTech): designs neural network architectures and loss functions for spatial representations, implements probabilistic state estimation (EKF, particle filters), and prototypes ideas from research papers in Python/C++ with PyTorch and NumPy. Office-based in Kyiv or Lviv.
1、负责国际支付场景专属统一模型推理平台的架构设计、模块开发与性能优化，支撑大模型/小模型、多框架（PyTorch/TensorFlow/ONNX/TensorRT）的统一部署与服务化，保障支付场景的高可用与低延迟； 2、设计并实现适配支付流量特性的推理调度机制，包括负载均衡、弹性扩缩容、多副本管理、灰度发布、流量管控，满足稳定性要求；…
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