特斯拉嵌入式软件实习生,能源产品 Embedded Software Intern, Energy Products
任职要求
MUST • Proficiency in C, familiarity with C++ a plus. • Comfortable with hands-on lab work (including the use of scopes/logic analyzers, CAN tools, soldering irons, etc as needed). • Proficient in English (both verbal and written communications). PREFERRED • Fluent in software fundamentals including clean software design and maintainability. • Experience in embedded development in robotics, real-time controls, or system software. • Ability to collaborate and communicate complex technical concepts concisely. • Ability to break down high level requirements into specific, actiona…
工作职责
THE ROLE: As a member of the off-board firmware development team, you will support our embedded software engineer on writing code for our superchargers, adapters, and various other types of charging equipment. Come join a team of knowledgeable engineers to build the next generation of robust EV charging infrastructure using cutting edge software development tools and practices. RESPONSIBILITIES: • Implement high-quality C/C++ code in a real-time embedded environment. • Specify embedded software requirements and design firmware algorithms. • Integrate and debug features at both component and system level. • Develop tests to validate functionality (unit tests, SIL, and system level). • Support with certification efforts as needed. • Bring up new hardware and debug issues. • Refactor code as needed to maintain a clean and efficient codebase. • Actively participate in team discussions to make performance and optimization trade-offs. • Respond to problems in the field and support the service team with practical, quick solutions to issues that affect the live supercharger fleet.
AI搜索和智能体产品后端系统研发: 1. 设计并实现AI搜索Agent应用,包括Query理解、记忆存储、环境感知等模块的集成与优化。 2. 负责Agentic Search(搜索智能体)技术探索和架构研发,支持多模态(文本、图像、视频)检索与应用创新。 3. 抽象并开发企业级别的AI应用平台,支持Agent相关应用的接入与扩展,确保平台的高可用性和可扩展性。 4. 实现平台的模块化设计,支持快速迭代与功能扩展,满足AI时代本地生活服务领域智能体应用快速发展需求。 5. 与业务部门(如产品、运营团队)协作,将AI搜索能力嵌入现有工作流(如智能问答、个性化推荐)。 6. 负责AI系统的日常运维,包括异常监控、接口优化及用户培训,确保生产环境高效运行。
1、嵌入式AI系统开发: • 负责RTOS系统平台上多模态AI终端产品的研发,包括方案评估、软件架构设计、核心功能模块(如人脸/手势识别、行为分析)开发与部署; • 主导端侧AI模型轻量化、跨平台推理框架适配(TensorFlow Lite/MNN/NCNN)及NPU芯片的性能优化(如内存、功耗、实时性); • 结合硬件特性设计轻量化模型架构,完成从算法训练到嵌入式端侧部署的全链路开发。 2、多模态算法工程化: • 优化计算机视觉算法在嵌入式设备(IoT/AR硬件/AI机器人)的落地效果,解决低算力、高延迟、多干扰场景下的工程挑战; • 开发芯片算子库适配方案,参与芯片选型、AI工具链优化及端云协同架构设计; • 探索多模态交互(视觉+语音+传感器)在智能终端的创新应用,如AI玩偶、陪伴机器人等。 3、跨团队协作与交付: • 与芯片厂商、算法团队、硬件团队协同开发,主导端侧SDK集成及性能调优,确保产品按时交付; • 支持产品量产落地,保障系统稳定性与用户体验。