特斯拉2026届-自动化控制工程师
任职要求
MSc/ MS student of Computer Science or equivalent degree Enrolled in undergraduate or graduate degree program in computer science or a related field Enrolled in undergraduate or graduate degree program in control theory a related field Proficient with database application (MySQL preferred) Proficient with programming in Golang, Pytho…
工作职责
About Tesla Motors Tesla Motors is an aggressive young company. We design and manufacture advanced electric vehicles, battery packs, and drive systems that are changing the future of transportation. We are building technically strong, fast-moving teams that pride themselves on superior execution. Job Summary Tesla is looking for an amazing graduate who is passionate about computer engineering, machine learning and latest technological solutions and desires to work with automation controls development team (CAE – Core Automation Engineering). The candidate will have the opportunity to take part in innovative projects which will be directly connected with advanced manufacturing at Tesla factories. CAE team creates elegant software and automation solutions to build and assemble Tesla products in all manufacturing areas of the factory (Body in White, Paint, Casting, General Assembly, Drive unit, Battery workshops). The candidate will apply academical knowledge about computer science, databases, data collecting and processing in industrial area and be involved in digitalization and development of Tesla’s production lines. CAE team provides a valuable experience at Tesla by joining projects that are critical to their future successes Responsibilities Develop advanced software solutions supporting next-generation control systems Leveraging machine learning, or advanced analytics in production environment Manufacturing equipment integration with factory systems like MES, MFS, FM, PDM, etc. Design systems with future scalability in mind, ensuring they can adapt to new technologies, production increases, or evolving operational demands Drive Continuous Innovation by connecting Tesla needs with latest industrial trends Comply with company rules and regulations, strictly follow work instructions, actively identify safety hazards, promptly report safety hazards and accidents, propose safety improvement suggestions, and continuously improve to create a safe and healthy working environment.
结合业务通过AIGC提效，主导系统的服务化架构设计、AI 模型编排、交互接口整合等核心模块，深度参与从模型能力对接到业务场景落地 的全过程，推动 AIGC的持续进化。 1.设计与开发 AIGC 系统核心后端服务，包括模型接入、能力编排、上下文调度、插件系统等 2.实现对主流大模型（如 GPT、Claude、Qwen、LLaMA 等）以及工具型能力的封装与统一调用接口 3.构建和维护面向多模态/多 Agent 的 MCP（Model Control Plane） 编排框架 4.接入向量数据库、知识库、RAG 检索链路，提升推理效果，如有能力，参与前端开发（主控台、可视化模型调度界面等），提升开发者交互体验 5.推动系统性能优化、监控告警、灰度发布等工程稳定性建设
团队由国内外知名高校及主流互联网企业的资深专家组成，在顶尖期刊（如KDD、NeurIPS、ICLR、ICML、AAAI等）发表过多篇论文，是国内理论与应用实践相结合、应用算法创新的顶尖和超一流团队。 职位描述： 围绕高德的核心业务场景，研究大模型与推荐结合提升业务效果并落地，不限于LLM、多模态大模型SFT、RLHF、多模态理解、内容表征、推荐算法、行为序列建模、搜索算法。
1. 参与设计、开发和优化足式机器人全身运动控制算法，提升动态性能与稳定性； 2. 推动机器人全身运动控制算法的系统集成、仿真验证和硬件部署； 3. 优化控制算法在嵌入式系统中的性能，满足实时性和低功耗需求； 4. 探索机器人全身运动控制在工业、服务或特定场景中的技术应用和落地机会； 5. 跟踪机器人运动控制领域的最新研究，探索解决该领域关键问题的创新技术。
1.基于优化算法的全场景自动驾驶控制算法研发，涵盖结构化道路/非结构化场景的轨迹优化与动态避障。 2.支持主线研发和量产项目规控算法交付任务，解决非凸优化、高维状态空间下的运动规划问题。 3.实时闭环的算法架构设计与实现，工程软件规范化与质量效率提升。 4.高效自动化算法开发迭代工具设计与实现，建立自动化评测体系，量化评估控制算法的舒适性、安全性及动态场景适应能力。