We are looking to staff this Supply Base Engineer position that is based in Shenzhen, China at NVIDIA Corporate. The Senior Supply Base Engineer will have the responsibility for providing end to end manufacturing and process solutions,
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionised parallel computing — with the GPU acting as the brains
NVIDIA is looking for a MDE (Manufacturing Development Engineering) team focuses on NPI mechanical assembly readiness, support all products NVIDIA develops, perform manufacturing DFA (Design for assembly) development and finding MFD (Manufacturing for design) solutions. Drive manufacturing feedback
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI
NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. For over 30 years, we have been at the forefront of research and engineering around the greatest advances in technology. Our history of innovation
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.
We are now looking for Signal & Power Integrity Engineer. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI
We are looking for a Senior Signal Integrity & PCB Quality Engineer! NVIDIA is powering the next wave of AI and accelerated computing, and our PCB technology is a critical enabler of the worlds highest-performance systems. Join
具身大模型部署与优化实习生 深圳 实习 互联网 / 电子 / 网游 职位描述 负责将大语言模型、多模态模型和具身智能模型高效部署到机器人端侧芯片和云端，实现低延迟实时推理。1、负责VLA（操作模型）等大模型在自研芯片上的端侧部署，完成模型量化（INT8/INT4/FP8）、图优化和推理加速；2、设计和优化模型推理服务（基于 vLLM/TensorRT-LLM），支撑 VLA 推理的低延迟需求；3、建立模型部署的标准化流程：模型转换→量化→性能基准测试→端侧验证→上线发布；4、模型优化，参与大模型的量化部署工作，探索模型在嵌入式端侧的高效运行；5、与算法团队协作，从模型设计阶段介入，提供部署可行性评估和性能预估。6、实验验证： 协助将算法部署至真实人形机器人平台，进行效果调试与性能评估。 职位要求 1、计算机、人工智能、自动化、机器人等相关专业在读硕士、博士、优秀本科生；2、 具备扎实的深度学习基础，熟悉 Transformer 架构，对 VLA 等主流模型有深入理解；3、熟悉 C++/Python，具备良好的代码风格和算法实现能力；4、有以下至少一项经验：-模型量化（PTQ/QAT/混合精度）与精度-速度 trade-off 调优；-CUDA 编程与 GPU kernel 优化；-嵌入式 NPU 部署（高通/联发科/NVIDIA Orin）；-熟悉至少一种推理框架：TensorRT / ONNX Runtime / vLLM / TensorRT-LLM；5、具备优秀的逻辑思维和文献阅读能力，能够快速理解并实现推理框架中的核心思想；6、实习时间：
Company Overview: Our client is a forward-thinking technology company specializing in the design and manufacturing of critical electrical infrastructure and modular data center solutions. Our products support the growing demands of high-performance computing, artificial intelligence, and