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Open nowPosted 99 days ago

惯导融合算法工程师-2027校招

arashivision/campus358 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
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Your applicationOpen now惯导融合算法工程师-2027校招arashivision/campus · Shenzhen, Guangdong, Chinese Mainland
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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. arashivision/campus postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 99 days ago

arashivision/campus median: 2 days open

The posting

1、负责无人机及手持设备的多传感器惯导融合算法研发,完成 IMU 与 GPS、磁力计、气压计、视觉等多源传感器的融合方案设计、代码实现与性能优化,适配不同终端的算力约束与应用场景; 2、设计并实现高准确率的传感器异常检测与故障诊断算法,针对传感器数据失效、冲击扰动、噪声漂移等异常工况设计鲁棒性适配方案,保障导航系统在复杂环境下的稳定性与可靠性; 3、承担算法从原理仿真、嵌入式移植到真机 / 实设备落地的全流程工作,配合完成测试数据采集、问题定位与参数调优,持续优化姿态估计精度、航向稳定性与抗干扰性能; 4、撰写算法设计文档、测试报告与技术规范,维护算法模块的代码版本与迭代优化,保障代码的规范性与可维护性; 5、配合硬件、测试团队完成传感器选型、标定方案设计与跨模块系统联调,推动产品功能落地与性能迭代。

1、硕士及以上学历应届毕业生,自动化、控制科学与工程、导航制导与控制、航空航天、电子信息、计算机等相关专业; 2、具备扎实的理论基础,熟练掌握惯性导航原理、线性系统、随机过程与卡尔曼滤波(EKF / 互补滤波等)算法,具备独立推导与代码实现能力; 3、熟悉 IMU、GPS、磁力计、气压计、视觉等多类传感器的工作原理与融合方案,有多源信息融合的相关项目实践经验; 4、熟练掌握 C/C++ 编程语言,代码风格规范,熟练使用 Eigen 等矩阵运算库进行数值计算与算法开发; 5、熟练使用 Simulink 等软件进行算法仿真建模与数据分析,能够独立完成算法验证与性能评估; 6、熟悉 PX4、ArduPilot 等主流开源飞控的软件架构与导航融合框架,有基于开源飞控的二次开发、算法移植或真机调试经验; 7、具备较强的逻辑分析能力与动手排查能力,做事严谨细致,有良好的团队沟通意识与协作精神。

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