岗位职责

1、负责计算机视觉和深度学习算法的研发与优化，涵盖图像/视频目标检测与跟踪、语义实例分割、动作识别等领域；

2、推动算法轻量化、迁移学习等技术研究，并在实际产品中落地应用；

3、负责开发和管理研究所需的工具与基础设施，支持算法的高效实现与落地；

4、在嵌入式平台和实际产品中进行算法优化与调试，确保算法的高效运行与稳定性。

任职要求

1、具有扎实的计算机视觉与深度学习基础，具备丰富的工程实践经验，尤其在目标检测、图像分割、动作识别等领域有较深造诣；

2、熟练掌握 Python、C++、CUDA 编程，精通 PyTorch、TensorFlow、Caffe 等深度学习框架，熟悉 OpenCV、Eigen、g2o、Ceres、PCL 等开源库

3、具备良好的算法设计与实现能力，能够独立进行问题分析和解决，确保算法的高效实现与优化；

4、有在顶级期刊或会议上发表过相关论文者优先，具有专利申请经验者更佳；

5、具有较强的沟通与团队合作能力，能够与跨部门团队合作推动项目进展；

6、对技术充满热情，具备持续学习的动力，能够适应快速变化的工作环境。

岗位职责

1、设计开发基于 IEEE 802.15.4 标准的软件协议栈，包括：

a) 新兴的 Thread 网络层和 Matter 应用层协议

b) 已广泛应用于智能家居行业的 Zigbee 协议栈

2、参与 IoT 芯片设计，开发软件框架与接口，验证芯片功能（PHY/MAC 层）；

3、AIoT 终端产品技术方案设计，并提供简单易用的 SDK。

任职要求

1、本科及以上学历，通信/电子/计算机/自动化等相关专业；

2、精通 C/C++ 语言，并掌握至少一门脚本语言，例如 python；

3、熟悉计算机网络模型，有 Thread/Zigbee 等低功耗 Mesh 网络协议栈，有相关开发经验者优先；

4、熟练掌握嵌入式系统开发与调试方法，有 ESP-IDF/FreeRTOS/ThreadX 等平台开发经验者优先；

5、自我驱动，对新技术有追求，对 IoT 行业有激情。

About Espressif Systems

Espressif Systems is a leading provider of IoT and edge AI solutions, specializing in wireless technologies and embedded systems. We are committed to pushing the boundaries of innovation to empower developers and businesses in creating connected devices for a smarter world.

Job Description

Espressif Systems is seeking a talented and motivated Software Engineer to join our team and work on RISC-V compiler and toolchain aspects. The successful candidate will be responsible for developing and optimizing compiler toolchains to support custom instructions required for AI (Artificial Intelligence) and NPU (Neural Processing Unit) accelerators, among other responsibilities.

Responsibilities

1. Develop and maintain compiler toolchains for the RISC-V architecture, focusing on supporting custom instructions required for AI and NPU accelerators.

2. Run benchmarks to analyze CPU performance/code density and make compiler optimizations.

3. Enhance GCC/LLVM compiler for RISC-V CPU ISA custom extensions to support DSP/Vector or other specialized accelerators.

4. Work on the design and implementation of AI instruction extensions within the compiler toolchain.

5. Collaborate with hardware engineers to define and implement custom instruction sets for AI applications.

6. Collaborate with the AI software team to ensure seamless integration and compatibility of AI instruction extensions within the toolchain.

7. Conduct FPGA tests for AI instructions to verify functionality and performance.

8. Perform end-to-end performance testing and functional verification using the PIE custom toolchain.

Qualifications

1. Master's degree in Computer Science, Electrical Engineering, or related field.

2. Solid understanding of compiler theory, computer architecture, and RISC-V instruction set architecture.

3. Proficiency in programming languages such as C/C++/Assembly and experience with compiler development.

4. Experience in FPGA testing, including test case development and execution.

5. Familiarity with AI concepts and technologies, including neural networks and deep learning frameworks.

6. Familiarity with SIMD/Vector/AI hardware accelerators.

7. Experience with open-source toolchain GCC/LLVM contributions will be a plus.