职位&公司对比
职位详情
- 广州
- 5-10年
- 硕士
- 强化学习
- 图像算法
- 模型加速/性能优化
- 多模态算法
- 大数据处理工具(Spark/Hadoop/Hive)
- 团队管理经验
- 算法工程化经验
- 发表算法相关优秀论文
- 参加算法相关竞赛/获奖
- 自动驾驶
- BEV
- VLM
- 检测跟踪
- 画质生成
工作职责 1. 负责NN视觉算法在硬件部署的性能优化和相关工具链设计: a. 联合网络结构、量化和编译的优化算法设计和规划,效果持续对标业界SOTA; BOSS直聘b. 相关优化、量化、编译算法的工具链的设计和规划,性能/效率/质量持续对标业界。 2. 负责面向未来的NN芯片规格/AI编译器架构规范制定,效果持续对标业界SOTA。 任职要求 1. 硕士及以上学历,5年及以上NN图像处理相关工作经验boss; 2. 具备业界前沿AI加速器联合设计/算法性能BOSS直聘联合优化经验; 3. 具备NPU/DSP/GPU等异构计算平台开发和调优经验; 4. 具备良好的沟通协调、组织BOSS直聘能力和技术项目管理能力。
职位详情
- 广州
- 不限
- 硕士
- 发表算法相关优秀论文
- C/C++
- 团队管理经验
- 深度学习
- 算法工程化经验
- 强化学习
- 其他
- 模型加速/性能优化
- Python
-We have an exciting opportunity on our Perception team for a senior engineer/researcher with exceptional development/researcBOSS直聘h skills in the field of Computer Vision and Deep Learning. The primary responsibility of the role is to research and develop CV algorithms on PoiBOSS直聘ntcloud and RGB data for robotics manipulation tasks. For example, 6DoF poses estimation for industrial automation and other core computer vision components. Qualified candidates will be driven self-starters, robust thinkers, strong collaborators, effective leaders, and adept at operating in a highly dynamic environment. We look for colleagues that are passionate about our product and working hard to deliver exceptional quality. 【Responsibilities】 1. Research and development of advanced product-critical computer vision components such as instance segmentation, 6DoF pose estimation, point cloud completion, mesh reconstruction, and camera calibration. 2. Provide leadership and mentoring to the research and development team within the Computer Vision group. 3. Support overall research, engineering, and architecture efforts of computer vision and machine learning components. 4. Write maintainable, reusable code, leveraging test driven principles to develop high quality modules. 5. Troubleshoot and resolve software defects and other technical issues. 6. Review individual developer's code in the team to ensure highest code quality in Computer Vision components. 【Qualifications】 1. 5+ years of working or research experience in Computer Vision. 2. 3+ years experience in Deep Learning with TensorFlow or PyTorch. 3. Expert knowledge in Deep Learning/Computer Vision with specialization in at least one of the following domains: Object Detection/Instance Segmentation, Vision Transformers, 6DoF Pose Estimation (i.e. 3D object detection), Few/Zero-shot learning, Camera Calibration 4. Required: Published in a top-tier CV or robotics conference (e.g. CVPR, ICCV, ECCV, ICRA) or an AI conference with a relevant paper (e.g. ICLR, NIPS, ICML) 5. Expert level in Python (Experience in C/C++ is a plus). 6. Experience shipping bossan AI algorithm to production is直聘 a plus. 7. Experience working with OpenCV. 8. Knowledge of parallel直聘 computing, OpenCL, CUDA is a plus. 9. Knowledge of software optimization is a plus. 10. Experience with robotics is a plus. 【Education】 1. MS in Computer Science or a related field (with a minimum of 5 years of relevant industry experience). 2. Ph.D. is preferred (relevant industry experience is a plus).
技能解析
- 视觉算法
- 管理能力
- 图像处理
- 项目管理能力
- 性能优化
- 优化算法
- 项目管理
- 沟通协调
- 算法设计
- 好的沟通
- 组织能力
- 良好的沟通协
数据来自CSL职业科学研究室
技能解析
- CUDA
- C/C++
数据来自CSL职业科学研究室
工作时间
公司福利
- 五险一金
- 定期体检
- 年终奖
- 股票期权
- 带薪年假
- 员工旅游
- 通讯补贴
- 节日福利
- 零食下午茶
备注
职位发布者未明确表明公司信息,具体可咨询职位发布人进行确认。