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Linux Network Jobs In Beijing (Peking) - 5 Job Positions Available

1 – 5 of 5 jobs
Nvidia jobs

NVIDIA is seeking for an experienced Software Engineer with a strong background in networking and virtualization technologies. This full-time position requires close collaboration with other NVIDIA SW and SW architecture teams, pre-sale teams and different industry

Nvidia  28 days ago
NXP Semiconductors jobs

Role Summary As a Robotics Senior Field Application / Solution Manager, you will serve as a customer-facing technical owner for robotics-related opportunities, covering humanoid robots, AGV/AMR platforms, drones, and other intelligent mobile robotic systems. This role

NXP Semiconductors  19 days ago
小米科技 Xiaomi Technology jobs

足式机器人运动控制算法工程师实习生(强化学习) 北京 校招 实习 算法类 职位描述 1. 开发基于强化/模仿学习的机器人行走及全身控制策略;2. 开发复杂地形下基于视觉的强化学习行走策略;3. 负责算法策略的训练与移植部署,实现算法sim-to-real在机器人实机上落地应用;4. 持续跟踪国内外前沿研究成果,并进行相关算法复现;5. 编写相关技术文档,推动团队技术沉淀与知识共享。 职位要求 1. 硕士及以上学历,机器人、计算机、机械工程、人工智能、应用数学等专业,数学、英语能力扎实,具有较强的学习与研究能力;2. 掌握主流的强化学习算法,如:PPO、DQN、DDPG、SAC等;3. 掌握机器人学习中的广泛使用的训练方法和模型架构,如:教师学生模型(Teacher-Student Network),课程学习(Curriculum Learning),域随机化(Domain Randomization),混合专家模型(MoE)等;4. 熟悉Mujoco、IsaacGym、IsaacLab等机器人仿真平台;5. 有足式机器人强化学习算法的实机调试和sim-to-real经验者优先,有基于模型/优化等传统控制经验者优先;6. 扎实的C++、Python编程能力,熟悉Pytorch等机器学习框架,熟悉Linux,Git,ROS等开发环境和工具。 投递...

小米科技 Xiaomi Technology  2 days ago
Ericsson jobs

Join our Team AI & Automation Intern About this opportunity Ericsson’s Technical Service organization is seeking a highly motivated AI & Automation Intern to support digital transformation and operational excellence initiatives. In this role, you will

Ericsson  2 days ago
Xiaomi jobs

足式机器人运动控制算法工程师(强化学习) 北京 社招 全职 职位 ID:A200582 职位描述 1. 开发基于强化/模仿学习的机器人行走及全身控制策略; 2. 开发复杂地形下基于视觉的强化学习行走策略;3. 负责算法策略的训练与移植部署,实现算法sim-to-real在机器人实机上落地应用; 4. 持续跟踪国内外前沿研究成果,并进行相关算法复现;5. 编写相关技术文档,推动团队技术沉淀与知识共享。 职位要求 1. 硕士及以上学历,机器人、计算机、机械工程、人工智能、应用数学等专业,数学、英语能力扎实,具有较强的学习与研究能力;2. 掌握主流的强化学习算法,如:PPO、DQN、DDPG、SAC等;3. 掌握机器人学习中的广泛使用的训练方法和模型架构,如:教师学生模型(Teacher-Student Network),课程学习(Curriculum Learning),域随机化(Domain Randomization),混合专家模型(MoE)等; 4. 熟悉Mujoco、IsaacGym、IsaacLab等机器人仿真平台;5. 具备足式机器人强化学习算法的实机调试和sim-to-real经验,有基于模型/优化等传统控制经验者优先; 6. 扎实的C++、Python编程能力,熟悉Pytorch等机器学习框架,熟悉Linux,Git,ROS等开发环境和工具。 投递...

Xiaomi  19 hours ago

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