Job Details: Job Description: Contributes to the design, development, and optimization of AI software solutions including algorithms, frameworks, and AI software architectures across domains such as computer vision, machine learning, and deep learning. Assists in implementing
We are now seeking a Senior Managed Runtime Compiler Engineer with strong performance engineering, compiler, virtual machine, interpreter, and runtime experience to join our Compiler Team. We craft compiler and runtime technology that realize the potential of NVIDIAs CPUs built
We are looking to hire an accomplished Senior Engineering Leader for an exciting and fun role in our Compiler and AI System Software organization. We deliver foundational technology to enable NVIDIA systems to make AI workloads run
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential
NVIDIAs invention of the GPU 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 — the next era of computing
CPU 物理设计工程师/专家 杭州、上海、北京 全职 研发 - 电子 / 半导体 职位描述 1.与CPU设计者密切合作，进行关键时序路径的分析与逻辑电路优化；2.前后端协同设计，持续提升CPU PPA性能指标；3.CPU Core的物理设计与交付，达到产品指标要求； 职位要求 1. 具有高性能CPU/GPU/AI Core物理设计及实现经验；2. 与CPU设计者密切合作，进行逻辑优化，持续提升CPU PPA指标;3. 精通后端物理实现工具的使用，如Genus/Innovus/iSpatial, DC/ICC2/Fusion Compiler等， Scripting能力（Tcl/Python/Perl）4. 熟悉低功耗策略及复杂时钟树的实现方法；5. 先进工艺（7nm/5nm/3nm） tapeout 经验优先。完整sign-off 流程，starRC, block STA，full-chip timing 收敛, ECO flow, PV (Caliber or
AI软件测试工程师/专家 上海、杭州 全职 研发 - 电子 / 半导体 职位描述 1.AI模型与工具链测试: 负责AI全栈测试，包括但不限于：大语言模型（LLM）、计算机视觉模型（CNN/Transformer等）的精度验证、性能调优与端到端测试；NPU固件通信、算子接口、多芯片互联及算力抽象层的功能与性能测试；基于openVX compiler等编译器框架的AI工具链测试（如模型编译优化、量化部署等）2.RISC-V工具链测试: 负责RISC-V架构下Debug诊断工具（如GDB扩展、Trace工具）及编译器（LLVM/GCC定制）的测试3.设计测试方案，覆盖单元测试、集成测试、系统测试全流程, 开发自动化测试用例，验证工具链的稳定性与性能 职位要求 1.本科及以上学历，优先考虑计算机科学或者电子工程相关专业；2.熟悉深度学习模型推理流程，有CNN/Transformer/LLM等模型本地部署经验者优先;3.了解AI编译器栈（ONNX Runtime等），能验证模型编译后的精度与性能损失4.熟悉编译器原理（如LLVM/Clang/RVCC），或RISC-V Debug协议5.有嵌入式工具链测试经验（如交叉编译器、性能分析工具）者优先6.具备性能调优经验（如Profiling、瓶颈分析）, 精通AI算子精度，性能等回归测试方法者优先7.有NPU/GPU等异构计算平台的测试经验者优先 投递...
Minimum qualifications: Bachelors degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. Experience in developing and deploying models
Your Key Responsibilities: Design, develop and maintain functional safety software components for automotive controllers, including ECM3 (ASIL Level 3), WDGM and SafeCom. Develop Safety Island software for SoC platforms. Cooperate with cross-functional teams to clarify software
芯片中后端设计实习工程师 上海 校招 实习 互联网 / 电子 / 网游 职位描述 1. 负责模块实现工作，包括综合和STA分析。2. 配合designer、完成sdc/timing分析与收敛。3. 开发和维护最新工艺节点的实现流程。 职位要求 1. 计算机、电子、半导体相关专业研究生，可稳定实习1年。2. 了解Synopsys SDC/Synthesis/Formal/STA工具和流程。3. 对Design Compiler 和PrimeTime STA 分析有了解者优先。4. 熟练掌握tcl/perl/shell/Makefile其中之一。5. 良好的沟通能力，快速学习实践以及团队合作能力。 投递...
NVIDIA is seeking a passionate, world-class software engineer to join its Compute Developer Technology team(DevTech). Our team has over 150 engineers across Beijing, Shanghai, Shenzhen, Taipei, Seoul, and Sydney. We understand algorithms, GPU, and real-world applications.
NVIDIA is seeking Software Performance Architects to optimize GPU kernel performance for state-of-the-art data-center platforms. We build automated, data-driven workflows to detect, explain, and prevent performance regressions across key deep learning workloads, partnering closely with kernel
As a Senior GPU & AI Infra Expert focusing on Cloud Service Providers (CSPs) in China, you will be a core technical pillar in NVIDIA’s CSP SA team, responsible for driving GPU/AI Infra technical strategy, system-level
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
Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems.
A key part of NVIDIAs strength is our sophisticated analysis / debugging tools that empower NVIDIA engineers to improve perf and power efficiency of our products and the running applications. We are looking for forward-thinking, hard-working,
Are you passionate about programming languages, compiler technology, and GPU performance? Do you want to help shape the future of high-performance kernel development for AI? We are looking for outstanding engineers to build CUTLASS DSL, a Python-native
Are you excited about building world-class quality systems for advanced GPU software? Do you enjoy combining automation, product validation, and code analysis to support fast-moving compiler and kernel innovation? We are seeking a strong test engineer to
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We are now looking for Circuit Design Engineer for Hardware team. The team designs the custom digital circuitry. The main role is to design high performance, low power, high reliability and small area SRAM compiler to support