{"id":2766094,"url":"https://alion.io/job/trunk-technology-xiaozhaodingweisuanfagongchengshi-ganxian","title":"（校招）定位算法工程师-干线","company":{"id":180730,"name":"Trunk Technology","domain":"trunk.tech","url":"https://alion.io/company/trunk-technology","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Moka","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Beijing, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"FAST-LIO","optional":false},{"name":"Gaussian Splatting","optional":false},{"name":"GitHub","optional":false},{"name":"GTSAM","optional":false},{"name":"Linux","optional":false},{"name":"LIO-SAM","optional":false},{"name":"LOAM","optional":false},{"name":"NeRF","optional":false},{"name":"ORB-SLAM3","optional":false},{"name":"Python","optional":false},{"name":"ROS2","optional":false},{"name":"SLAM","optional":false},{"name":"TensorRT","optional":false},{"name":"VINS-Fusion","optional":false}],"status":"live","first_seen_at":"2026-09-03T18:27:54Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-11-05T14:42:54Z","board_verified":true,"closed_at":null,"days_open":63,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":63},"description":"定位算法工程师（校招）| SLAM & 多源融合定位\n一、岗位职责\n1. 融合定位算法开发（核心）\n- 参与 GNSS/RTK + IMU + 轮速 + 视觉/激光的多源融合定位算法开发，基于 ESKF 或因子图优化框架，输出高精度、高频率、带置信度的车辆位姿\n- 参与定位模块的工程化实现与实车验证\n2. SLAM 与感知定位模块\n- 参与视觉/激光 SLAM 子模块研发：特征提取与匹配、位姿估计、点云配准、回环检测、局部建图\n- 参与基于车道线、交通标牌、路面标识等语义特征的地图匹配算法开发，跟进轻地图/无图定位技术方案\n3. 退化场景鲁棒性优化\n- 参与 RTK 失锁场景（隧道、高架、城市峡谷、林荫道）与视觉退化场景（长直道、逆光、雨雪雾、施工区）的补位与抑漂策略优化\n- 参与定位健康度/置信度评估机制建设，支撑系统分级安全降级\n4. 标定、优化与部署\n- 参与相机内外参、Camera-LiDAR-IMU 联合标定与 IMU/轮速误差建模补偿\n- 参与算法在嵌入式平台（Orin / J6）上的移植、实时性优化与算力压缩\n5. 前沿技术预研\n- 跟踪学术前沿，参与深度学习特征、NeRF、3D Gaussian Splatting、端到端定位/建图等方向的可行性探索\n二、任职要求\n基础要求（必备）\n1. 硕士及以上学历，计算机视觉、机器人、自动化、导航工程、车辆工程、测绘、电子工程等相关专业，2026/2027 届应届毕业生\n2. 扎实的数学基础：线性代数、概率论、最优估计、刚体运动与李群李代数\n3. 熟练使用 C++（了解 C++11/14 常用特性）与 Python，具备良好的代码习惯; 熟悉 Linux 开发环境，了解 ROS/ROS2\n4. 具备下列任一方向的项目经历（实验室课题、竞赛、实习、开源项目均可）：\n方向 A：SLAM / 里程计（视觉、激光不限）\n- 理解 SLAM 系统的整体框架与核心环节：前端里程计、后端优化、回环检测、建图，具备其中至少一条完整链路的实践经历\n- 读过并跑通过至少一个开源 SLAM 框架，视觉、激光、视觉惯性、激光惯性方向任选其一即可，例如：\n- 激光/激光惯性：A-LOAM、LeGO-LOAM、LIO-SAM、FAST-LIO、KISS-ICP\n- 视觉/视觉惯性：ORB-SLAM2/3、VINS-Mono/Fusion、DSO、MSCKF\n- 掌握下列几何基础中的至少一类：\n- 点云侧：ICP / NDT / GICP 配准、点云特征提取（线面特征、法向量）、体素/KD-Tree 数据结构\n- 视觉侧：多视图几何、对极几何、三角化、BA 光束法平差\n- 了解 IMU 预积分、滑动窗口、边缘化等紧耦合优化技术，用过 Ceres / g2o / GTSAM 之一\n- 加分：了解 SuperPoint、SuperGlue、LoFTR 等学习型特征匹配方法; 了解多传感器（Camera-LiDAR-IMU）联合标定\n方向 B：视觉/语义地图匹配定位\n- 核心要求：有基于视觉的定位或地图匹配相关实践，例如：\n- 基于车道线、交通标牌、路面箭头/停止线等语义要素与地图（高精地图 / 轻图 / 自建局部地图）的匹配定位\n- 基于视觉特征或语义地图的重定位、位置识别（Place Recognition）、地图先验约束下的位姿求解\n- 视觉观测的特征关联、异常值剔除（RANSAC / 鲁棒核函数）与位姿优化\n- 了解高精地图车道级语义元素与拓扑结构，理解地图匹配的基本算法思路\n- 配套要求（服务于视觉定位，非独立方向）：掌握 EKF/ESKF 滤波理论并具备代码实现能力，了解 GNSS/RTK 定位原理与主要误差来源、IMU 与轮速计误差特性，理解视觉观测如何作为量测接入融合框架\n- 加分：做过 RTK 失锁或视觉退化场景下的鲁棒性优化; 了解无图/轻图定位的技术趋势\n说明：A、B 两个方向不要求同时具备，我们看重的是你在其中一条路线上的深度与工程动手能力，入职后会有系统的交叉培养。\n加分项（满足任意一条即可突出）\n- 在 CVPR / ICCV / ECCV / ICRA / IROS / RA-L 等会议或期刊发表过相关论文\n- 有开源 SLAM/定位项目贡献，或个人 GitHub 项目有一定影响力\n- 有智能驾驶、机器人、无人机公司的定位/SLAM 相关实习经历\n- 熟悉 CUDA / TensorRT，有算法嵌入式部署或性能优化经验\n- 有实车/实机数据采集、日志分析、问题复现与闭环调试的经历\n- 参加过 RoboMaster、智能车、RoboCup、自动驾驶挑战赛等竞赛并有定位相关贡献\n- 了解 NeRF、3D Gaussian Splatting 等神经隐式表达技术","description_format":"text","description_chars":1989,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Chinese","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Commerce"],"lifecycle":[{"event":"open","at":"2026-10-17T04:02:45Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.272,"p_room":0.28,"age_days":62,"expected_fill_days":25,"reasons":["conf:1","stale_co","win:tail","crowd:"],"computed_at":"2026-11-05T05:54:30Z"},"pay":null,"html_url":"https://alion.io/job/trunk-technology-xiaozhaodingweisuanfagongchengshi-ganxian","json_url":"https://alion.io/job/trunk-technology-xiaozhaodingweisuanfagongchengshi-ganxian.json","meta":{"generated_at":"2026-11-05T19:00:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":25397,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":180730},"rest":"https://alion.io/mcp/rest/get_company?id=180730"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftrunk-technology-xiaozhaodingweisuanfagongchengshi-ganxian"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftrunk-technology-xiaozhaodingweisuanfagongchengshi-ganxian"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftrunk-technology-xiaozhaodingweisuanfagongchengshi-ganxian"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/trunk-technology-xiaozhaodingweisuanfagongchengshi-ganxian\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftrunk-technology-xiaozhaodingweisuanfagongchengshi-ganxian"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2766094}},{"tool":"search_jobs","arguments":{"company":"trunk.tech","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2766094},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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