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Robot Phd Jobs (NOW HIRING)

Excellent Master's or PhD degree in computer science, robotics, or a related field * 3+ years of relevant experience in building robust perception stacks for dynamic, human-centered environments

... PhD in Computer Science, Electrical Engineering, Robotics, Math or related field Strong software engineering background Ability to break down large features and implement practical solutions ...

Sr. Robot ML Engineer

Cupertino, CA · On-site

$128K - $177K/yr

MS/PhD in Computer Science, Electrical Engineering, Robotics, Math or a related field * Strong software engineering background * Strong proficiency with modern ML approaches such as LLMs, VLMs, and ...

PhD or equivalent expertise in Robotics, Machine Learning, Computer Science, or a related field. * Significant experience building robot learning systems for real-world robotic manipulation. * Deep ...

PhD preferred; MS acceptable with strong relevant experience. What makes this role exciting * Join a new, well-resourced effort at the intersection of foundation models and robotics. * Work on ...

PhD preferred; MS acceptable with strong relevant experience. What makes this role exciting * Join a new, well-resourced effort at the intersection of foundation models and robotics. * Work on ...

PhD or equivalent expertise in Robotics, Machine Learning, Computer Science, or a related field. * Significant experience building robot learning systems for real-world robotic manipulation. * Deep ...

... PhD in Computer Science, Electrical Engineering, Robotics, Math or related field Strong software engineering background Ability to break down large features and implement practical solutions ...

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Robot Phd information

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How much do robot phd jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for robot phd in the United States is $28.24, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $32.93 per hour, depending on experience, location, and employer.

What are popular job titles related to Robot Phd jobs?

For Robot Phd jobs, the most frequently searched job titles are:

Robot Perception Expert (human)

On-site

Other

Posted 23 days ago


Job description

Your mission & challenges

You’ll join the AI/Perception team to enable our robots to see, understand and interact with dynamic, human-occupied environments. You’ll be responsible for both designing deep-learning perception models and building the full sensor fusion and perception stack for humanoid and collaborative robots.

  • Help us architect and build the full perception pipeline: from raw sensor input (cameras, LiDAR, IMU, force/torque, joint sensors) through sensor-fusion, object detection and tracking, 3D reconstruction, scene understanding, up to producing actionable world models and supplying necessary information to downstream modules (navigation, manipulation, interaction).

  • Research the state-of-the-art in robot perception and deep learning and bring breaking results from academia to the real robot

  • Design, train and finetune neural networks and deploy them both in the cloud and on embedded robotic hardware

  • Implement real-time perception software in modern C++ and Python as needed; leveraging classical computer vision and GPU acceleration

  • Use ROS2 and DDS frameworks for high data-throughput sensor pipelines, and validate modules both in simulation (e.g., Gazebo, Isaac Sim) and on real robot platforms, ensuring safety and robustness.

  • Collaborate with hardware, control, planning and manipulation teams: define perception requirements, integrate sensor hardware, calibrate and optimize systems, develop diagnostics and performance tools, produce documentation and support CI/CD practices.

What we can look forward to
  • Excellent Master's or PhD degree in computer science, robotics, or a related field

  • 3+ years of relevant experience in building robust perception stacks for dynamic, human-centered environments

  • Strong programming skills in Python or modern C++, experience with CUDA is a plus

  • Practical experience with deep-learning frameworks (PyTorch, TensorFlow) applied to perception tasks in robotics; deployment on robotics hardware (e.g., NVIDIA Jetson) is a plus

  • Solid background in computer vision and sensor fusion: 3D geometry, multi-view geometry, cameras/LiDAR/IMU fusion, point-cloud processing (PCL), and classical vision libraries (OpenCV)

  • Excellent problem-solving skills and the ability to work independently and as part of a team

  • Excellent English-language communication skills

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