Qualifications: Bachelor’s degree in Electronics, Electrical Engineering or Electrical Autoimmunization. 7+ years of electronic product development experience. Experience in BMS for power tools is preferred. Solid understanding of BMS core technologies and principles, including lithium battery
Qualifications: Bachelor’s degree in Electronics, Electrical Engineering or Electrical Autoimmunization. 5+ years of electronic product develop experience. Experience in BMS for power tools is preferred. Solid understanding of BMS core technologies and principles, including lithium battery
Job Description: Work with cross functional teams to qualify alternate battery cells, electronic modules and other components-based battery packs along with second source development for subcomponents. Provide ongoing technical platform support for existing battery products, implement
Qualifications: Bachelor’s degree in Electronics, Electrical Engineering or Electrical Autoimmunization. 7+ years of electronic product development experience. Experience in BMS for power tools is preferred. Solid understanding of BMS core technologies and principles, including lithium battery
Qualification Bachelor’s degree or above in Mechanical Engineering. 1+ year of experience in the design or implementation of mechanical products. Good knowledge and understanding of geometric dimensioning and tolerancing. Solid understanding of mechanical design theory and
Responsibilities: New product design and development for homebase cleaning products. Work with Chief engineer to define CTQ, make Prototype and benchmark testing. Work with PMO on project schedule and Phase Gate (SBD’s New Project Development Process)
1.Qualifications 1)Bachelors degree in a related field, such as Mechanical or Electrical/Electronic Engineering 2)Minimum of 8 years of project management experience, including collaboration across the full value chain (certifications such as U.S. PMI or U.K. OGC
Job Description Come Make the World With Us MBD Sr Project Engineer , is integral part of our Software Engineering organization. This position take responsibility of Model based Design Software Platform for next Gen Product and
1.Qualifications 1)Bachelors degree in a related field, such as Mechanical or Electrical/Electronic Engineering 2)Minimum of 8 years of project management experience, including collaboration across the full value chain (certifications such as U.S. PMI or U.K. OGC
VLM Research Intern 深圳、上海 实习 互联网 / 电子 / 网游 27届AI人才专项计划（实习生专场） 职位描述 1、负责大模型 VLM: Vision-Language Model在人形机器人中的算法设计与开发，将VLM应用于人形机器人的对话、环境感知与人机交互任务；2、参与大模型的Pretrain与Mid-training（long-context training），并利用数据合成技术打造高质量的预训练/后训练数据集；3、与机器人平台团队、硬件团队紧密协作，实现模型在实际机器人系统中的高效运行；4、跟踪前沿研究，推动新技术在产品中的落地应用。 职位要求 1、计算机、人工智能、自动化等相关专业硕士及以上学历；2、具备扎实的深度学习基础，熟悉Transformer、BERT、ViT、CLIP等主流视觉-语言模型架构；3、有大模型 VLM 的训练/微调/推理优化经验，熟悉其在多模态任务中的应用；4、熟练使用Pytorch深度学习框架，具备良好的工程能力和代码实现能力；5、良好的团队协作与沟通能力，具备快速学习和解决问题的能力。【加分项】1、有使用大语言模型进行数据合成（Data synthesis）的相关经验；2、对大语言模型的预训练/后训练数据集有一定了解，有处理Trillion级别数据集的相关经验；3、有参与实际LLM预训练或后训练的相关项目经验；4、熟悉开源大模型生态（如Qwen, Llama等），对大模型的模型结构优化（如linear attention，Mixture-of-Expert等）有一定了解；5、有参与ViT预训练或后训练的相关项目经验，有多模态大规模数据集的处理经验；6、有在 CVPR、ICCV、NeurIPS 等人工智能/计算机视觉/机器学习顶级会议发表论文的经历。 投递...
About FWD Group FWD Group (1828.HK) is a pan-Asian life and health insurance business that serves approximately 40 million customers across 10 markets, including BRI Life in Indonesia. FWD’s customer-led and tech-enabled approach aims to deliver
You’ll be part of our Asia Design Center team. You’ll get to: Own Platform Architecture in Coordination with Chief & Product Management (CGO) to Define Product Roadmap Define Modules to be Used in New Product Prior
Littelfuse (NASDAQ: LFUS) is a diversified industrial technology manufacturing company shaping solutions for the safe and efficient transfer of electrical energy. Headquartered in Chicago, Illinois, USA, we serve customers across industrial, transportation, and electronics markets worldwide.
Were looking for outstanding AI systems software engineers to develop groundbreaking technologies across the inference systems software stack. Our team builds core AI systems software that accelerates high-impact workloads on NVIDIA GPUs, from deep learning primitives
About Analog Devices Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into
Build a career with confidence Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, weve
Senior CAE Engineer (Fatigue & Wear) Position Overview Responsible for using professional software such as nCode for fatigue life prediction and data analysis. The role also involves designing experiments and benchmarking simulation results against actual test
Senior Project Engineer – System Simulation (Mechanical) Position Overview Mainly responsible for multi-body dynamics simulation modeling and load mathematical modeling of mechanical systems. Collaborate with other teams to complete system-level integration, including the development and integration
大语言模型预训练算法工程师 深圳、上海 全职 智能机器人板块 职位描述 职位描述我们正在寻找对大语言模型（LLM）的底层原理、性能优化和高效预训练充满热情的顶级算法工程师。您将加入我们的核心研发团队，主要负责LLM预训练阶段的算法设计、优化与实现，包括模型架构的探索、训练稳定性的提升、大规模分布式训练的优化等。我们的目标是基于业务需求，设计并训练对硬件计算友好的语言模型，从根本上突破模型的性能和训练效率极限，加速LLM在人形机器人、自动驾驶、多模态等前沿领域的落地。工作职责1. LLM预训练算法研发与实现：负责1~7B参数级别的Dense/MoE模型以及其他前沿架构在预训练阶段的设计、实验与优化，以提升模型的基础能力和效率。2. 基准测试与性能优化：负责模型训练过程中的关键性能指标监测与优化，针对小模型特性优化标准化测试流程。通过算法迭代，持续提高模型在理解、推理和泛化能力方面的分数。3. 训练稳定性与效率提升：负责分析和解决大规模训练过程中的数值不稳定、梯度爆炸/消失等问题，引入和实现如混合精度训练、梯度裁剪、学习率调度等优化策略。4. 前沿技术追踪与转化：紧密追踪全球LLM预训练、Scaling Law、新型优化器（如AdamW、Lion、Muon）等最新研究进展，评估并将业界顶尖的算法创新快速转化为我们的核心竞争力。5. 跨团队协作：与数据工程师紧密合作，分析数据对预训练效果的影响，并与系统/硬件工程师协作，共同调优底层计算资源以实现最高训练吞吐。 职位要求 1. 教育背景：计算机、人工智能、数学、物理等相关专业硕士及以上学位，有顶级会议（如NeurIPS, ICML, ICLR, AAAI等）论文发表经验者优先。2. 核心算法理解：深入理解Transformer、GPT、DeepSeek、Qwen等主流模型架构的底层数学原理与训练细节，对Linear attention、RMSNorm、DynamicTanh (DyT)、Mixture of Experts (MoE)等LLM底层模块有独到见解。3. 分布式训练实战经验：具备主导或深度参与LLM预训练的实际经验，熟悉PyTorch、DeepSpeed、Megatron-LM等分布式训练框架。4. 专业素养：具备严谨的实验设计和结果分析能力，能够主动发现并解决训练过程中的复杂算法问题。5. 沟通协作：具备优秀的沟通能力和团队合作精神，能够与数据、系统、硬件等不同背景的团队高效协作。6. 加分项：有使用过大于128张GPU进行LLM预训练、大规模预训练数据合成、硬件友好模型结构设计等相关经验。 投递...
Company Description Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance