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Simbe is looking for a Senior Computer Vision / Applied AI Engineer to build production AI systems that turn store imagery into trusted retail intelligence This role will work across dense product detection, price tag…
Build and optimize distributed systems that run large language models efficiently across Intel hardware, focusing on inference performance, parallelism, and communication.
Design and implement advanced image-processing and computer-vision algorithms (CNNs/SNNs) for next-gen EO/IR camera systems, integrating them into embedded hardware from concept to production.
Build and deploy quantized large language models for in-vehicle AI, focusing on PTQ, QAT, and low-bit inference to ensure numerical consistency and performance on XPENG’s Turing AI chip.
Build and deploy quantized large language models for in-vehicle AI, focusing on PTQ, QAT, and low-bit inference to optimize performance on XPENG’s Turing AI chip.
Builds and optimizes inference stacks for large-scale Apple foundation models, enabling AI features across services like Siri and Photos with low latency.
About Replay We are building the first-ever bank for enterprise data. There are over 35 million businesses in the US alone, many of which are sitting on an asset they don’t know they have. At Replay, we help businesses…
The Company: Faraday Future is a California-based technology company focused on the design, engineering, and development of intelligent, connected electric vehicles and related artificial intelligence–enabled…
Senior ML engineer builds NLP and computer-vision models to automate returns, disputes and call-center reviews for a large marketplace.
岗位职责 端侧模型部署与加速：对接算法/数据团队产出的原始模型，负责模型向端侧算力平台的移植、模型剪枝、INT8/FP4 量化与 TensorRT / ONNX 编译加速；压测端侧推理帧率与延迟，打包为标准部署镜像。 低时延接管与 Corner Case 捕获：优化 WebRTC / UDP / QUIC /其他自有协议 的远程接管链路，保障端到端控制与多路高码率视频传输时延 ；搭建现场 Corner…
Build and optimize ML deployment platforms and inference pipelines for autonomous-vehicle software, shipping PyTorch models to GM’s Super Cruise fleet with real-time latency and safety constraints.
Own the AI inference performance roadmap at NVIDIA, turning deep optimization techniques into products that improve latency, efficiency, and cost per token across the inference stack for LLM deployments.
Develop low-power, high-performance AI system software for Apple’s Neural Engine, optimizing ML models for devices like Vision Pro and iPhone.
Engineer and optimize GPU clusters for AI training and inference, build scheduling/orchestration systems, and improve performance, cost, and reliability of AI infrastructure.
Responsibilities Team Introduction TT-Search Algorithm & Applied AI is the algorithm team behind the search business built on TikTok (TikTok Search), with the goal of becoming the search engine of choice for users…
Optimize AI model inference for low-latency production deployment, manage Kubernetes-based ML infrastructure, and collaborate with data-science teams to scale and automate systems handling thousands of concurrent requests.
Musashi AI North America, Inc. is a growing hardware and software focused company that builds smart vision solutions for quality assurance in manufacturing environments. Based in Waterloo, Ontario, Musashi AI North…
负责AI编译器及相关工具链的测试全流程工作，独立完成测试计划制定、测试方案设计、测试用例开发、自动化测试框架建设、缺陷跟踪和质量评估，保障编译器交付质量。 负责深度学习模型及常见算子的功能正确性测试、数值精度测试与误差分析、性能测试与性能回归监控、多数据类型（FP16/BF16/INT8等）覆盖测试，构建完备的测试矩阵。 基于Triton编程模型编写或修改Triton Kernel测试代码，深入理解线程块、warp、block…
Principal engineer leading backend and ML infrastructure at a Series-C conversational AI company, scaling real-time speech/NLP systems, GPU fleets, and inference pipelines for enterprise contact centers.
业务方向： 1、开发高性推理引擎及相关核心组件，根据硬件特性和 AI 模型的特点，不断迭代和完善，持续提升推理性能。 2、开发分布式 KVCache 存储组件，负责 KVCache 生命周期管理，包括显存、内存、SSD 的分层和缓存策略优化。 3、分析和优化推理阶段的性能瓶颈，进行系统级调优，建设并完善性能剖析和优化工具链，沉淀性能优化方法论。 工作范式： 我们正在打造一个 AI-Native（原生 AI） 的研发环境，将 AI…
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