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Director, Robot Policy AI ML Job

China, Shanghai, Pudong, ZuChongzhi

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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

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Apply at Analog

What you’ll work on

Full posting
  • Prototype and deploy AI-based robot policy architectures at the edge

  • Connect planning with low-level controls and high-level semantic reasoning

  • Test and refine models on real-world and simulated sensor data

From the employer’s posting
Prototype and deploy AI based robot policy architectures that operate under tight latency and compute constraints at the Edge.
Contribute to the evolution of our Edge AI stack by connecting planning with low-level controls and high-level semantic reasoning.
Work with real-world and simulated sensor data to test and refine models

What you’ll bring

All qualifications

Core experience

  • 3+ years of experience in AI, robotics, or computer vision.
  • Experience integrating perception models with control loops, path planning, or robot operating systems (ROS2).
  • Master/PhD’s degree in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering).
  • Familiarity with industrial robotics, fixed arm robots, or autonomous systems in structured environments.
  • Proficient in Python, with practical experience using ROS, PyTorch or TensorFlow.
  • Familiarity with teleoperation and/or learning from human demonstration.
Qualification wording
3+ years of experience in AI, robotics, or computer vision.
Experience integrating perception models with control loops, path planning, or robot operating systems (ROS2).
Master/PhD’s degree in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering).
Familiarity with industrial robotics, fixed arm robots, or autonomous systems in structured environments.
Proficient in Python, with practical experience using ROS, PyTorch or TensorFlow.
Familiarity with teleoperation and/or learning from human demonstration.
Education & alternatives
- 3+ years of experience in AI, robotics, or computer vision. - Master/PhD’s degree in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering). - Knowledgeable in the areas of robot locomotion, robot kinematics and robot dynamics.

Tools in this posting

  • Python
  • Docker
  • PyTorch
  • TensorFlow
Source — Tool mentions in context
- Knowledgeable in the areas of robot locomotion, robot kinematics and robot dynamics. - Proficient in Python, with practical experience using ROS, PyTorch or TensorFlow. - Comfortable working with real-world sensor data (e.g., ToF, vision, IMU) and simulation tools like Gazebo, Isaac Sim, MuJoCo, OpenAI Gym or Unreal.
- Comfortable working with real-world sensor data (e.g., ToF, vision, IMU) and simulation tools like Gazebo, Isaac Sim, MuJoCo, OpenAI Gym or Unreal. - Experience with DevOps/MLOps tools: Docker, CI/CD pipelines, version control (Git). - Skilled at communicating technical insights, collaborating with multi-disciplinary teams, and contributing to shared architectural decisions.

About Analog

(NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge.

In the employer’s words · Read in context

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First seen by us
Oct 15, 2026 · 19 days ago
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Last seen by us
Nov 3, 2026

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Job description

View original posting ↗

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.

          

AI/ML Engineer – AI for Robotics
 

Location: Beijing/Shanghai China
Team: Edge AI Group, Analog Devices Inc. (ADI)
 

Analog Devices’ Edge AI team is reimagining how machines perceive, decide, and act in the world around them. We’re developing intelligent systems that bring together best-in-class sensing with real-time AI.

We're looking for AI/ML Engineers with expertise in learned robot policies, task planning, computer vision and decision-making under uncertainty. Your work will drive how autonomous systems reason about goals, decompose tasks, and adapt in dynamic environments.

You’ll be a core contributor to the development of robust and efficient AI-based robot policies, working alongside experts in hardware, embedded systems, and AI software. This is a hands-on role that blends applied research with production-grade engineering.

Responsibilities

  • Prototype and deploy AI based robot policy architectures that operate under tight latency and compute constraints at the Edge.
  • Develop task policies using techniques such as hierarchical planning, imitation learning, reinforcement learning or hybrid methods.
  • Contribute to the evolution of our Edge AI stack by connecting planning with low-level controls and high-level semantic reasoning.
  • Work with real-world and simulated sensor data to test and refine models; contribute to internal datasets and benchmarking tools.
  • Participate in project planning, code reviews, and architectural discussions; take ownership of technical areas and deliver high-quality, reliable implementations.
  • Stay current with trends in AI for robotics (e.g., expert and generalist policies, foundation models), and help integrate relevant advancements into our workflows.

Qualifications

  • 3+ years of experience in AI, robotics, or computer vision.
  • Master/PhD’s degree in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering).
  • Knowledgeable in the areas of robot locomotion, robot kinematics and robot dynamics.
  • Proficient in Python, with practical experience using ROS, PyTorch or TensorFlow.
  • Comfortable working with real-world sensor data (e.g., ToF, vision, IMU) and simulation tools like Gazebo, Isaac Sim, MuJoCo, OpenAI Gym or Unreal.
  • Experience with DevOps/MLOps tools: Docker, CI/CD pipelines, version control (Git).
  • Skilled at communicating technical insights, collaborating with multi-disciplinary teams, and contributing to shared architectural decisions.

Bonus Experience

  • Experience integrating perception models with control loops, path planning, or robot operating systems (ROS2).
  • Familiarity with industrial robotics, fixed arm robots, or autonomous systems in structured environments.
  • Familiarity with teleoperation and/or learning from human demonstration.
  • Contributions to open-source robotics or AI frameworks.

Why Join Us?

Join ADI’s Edge AI team to help create truly intelligent edge systems — where sensing, learning, and acting happen in real time. You’ll work in a fast-paced, collaborative environment, solving hard problems with people who care about impact, reliability, and real-world performance.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export  licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls.  As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

Job Req Type: Experienced

          

Required Travel: Yes, 10% of the time

          

Shift Type: 1st Shift/Days
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Location & working pattern

China, Shanghai, Pudong, ZuChongzhi

- Prototype and deploy AI based robot policy architectures that operate under tight latency and compute constraints at the Edge. - Develop task policies using techniques such as hierarchical planning, imitation learning, reinforcement learning or hybrid methods. - Contribute to the evolution of our Edge AI stack by connecting planning with low-level controls and high-level semantic reasoning.
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