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Robot Perception Jobs in Michigan (NOW HIRING)

... for perception, communication, and motion coordination. * Integrate vision sensors and depth cameras for feature detection, pose estimation, and real-time tracking. * Program and optimize robot ...

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

You'll collaborate daily with ML researchers, software engineers, robotics engineers, and hardware teams to design, build, and deploy perception and world-understanding systems that directly ...

Lead Perception Engineer

Ann Arbor, MI

$100K - $132K/yr

You'll collaborate daily with ML researchers, software engineers, robotics engineers, and hardware teams to design, build, and deploy perception and worldunderstanding systems that directly influence ...

Solid understanding of robotic systems, perception, and control Education Required: Master's degree in Robotics, Mechatronics, ME, EE or a related field. Location: Position will be at located in ...

Solid understanding of robotic systems, perception, and control Education Required: Master's degree in Robotics, Mechatronics, ME, EE or a related field. Location: Position will be at located in ...

Develop and implement autonomous systems for ground, air, or maritime defense platforms (e.g., navigation, perception, decision-making algorithms). * Design, integrate, and test software for robotics ...

Develop and implement autonomous systems for ground, air, or maritime defense platforms (e.g., navigation, perception, decision-making algorithms). * Design, integrate, and test software for robotics ...

Load and run robot welder - Load and run robot welder in auto and make needed repairs on assemblies ... perception, and ability to adjust focus * Comfortable working in a manufacturing environment with ...

Load and run robot welder - Load and run robot welder in auto and make needed repairs on assemblies ... perception, and ability to adjust focus * Comfortable working in a manufacturing environment with ...

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Robot Perception information

What is robot perception?

Robot perception refers to the ability of robots to interpret and understand their environment using sensors and algorithms. This field involves processing data from cameras, lidar, radar, and other sensors to recognize objects, map surroundings, and make decisions. Effective robot perception is essential for tasks like navigation, object manipulation, and autonomous operation in dynamic environments. It combines elements of computer vision, machine learning, and sensor fusion to enable robots to function reliably and safely.

What are the key skills and qualifications needed to thrive in a Robot Perception role, and why are they important?

To excel in Robot Perception, you need a strong background in computer vision, machine learning, and sensor data processing, typically backed by a degree in computer science, robotics, or a related field. Familiarity with tools like ROS (Robot Operating System), OpenCV, PCL, and deep learning frameworks such as TensorFlow or PyTorch, as well as experience with LiDAR and camera systems, is highly valued. Creative problem-solving, adaptability, and effective teamwork are crucial soft skills for addressing complex perception challenges in dynamic environments. These competencies enable the development of robust perception systems, which are essential for safe and autonomous robotic operation.

What is the difference between Robot Perception vs Robot Software Engineer?

AspectRobot PerceptionRobot Software Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or related fields; knowledge of perception algorithmsBachelor's or Master's in Software Engineering, Computer Science; programming skills in C++, Python
Work EnvironmentResearch labs, robotics companies, industrial settings focusing on sensor data processingSoftware development teams, robotics companies, embedded systems environments
Industry UsageUsed in autonomous vehicles, service robots, industrial automation for sensor data interpretationDevelops robot control software, integrates perception modules, and ensures system functionality

Robot Perception specialists focus on processing sensor data to enable robots to understand their environment, while Robot Software Engineers develop the software systems that control robot functions, including perception modules. Both roles often collaborate but have distinct focuses within robotics development.

What are some common challenges faced by professionals in Robot Perception roles, and how can they be addressed?

Professionals in Robot Perception roles often encounter challenges such as dealing with noisy sensor data, ensuring real-time processing, and integrating data from multiple sources to create an accurate understanding of the environment. Addressing these requires strong skills in sensor fusion, robust algorithm design, and close collaboration with robotics engineers and software developers. Continuous learning and staying updated with advancements in machine learning and computer vision are also key to overcoming these challenges and contributing effectively to the team's goals.
What are popular job titles related to Robot Perception jobs in Michigan? For Robot Perception jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Robot Perception jobs in Michigan look for? The top searched job categories for Robot Perception jobs in Michigan are:
What cities in Michigan are hiring for Robot Perception jobs? Cities in Michigan with the most Robot Perception job openings:
Senior, ML Engineer - Neural Rendering

Senior, ML Engineer - Neural Rendering

Torc Robotics

Ann Arbor, MI • On-site

$102K - $140K/yr

Full-time

Posted yesterday


Job description

Job Summary:
Torc Robotics is a leader in autonomous driving technology focused on developing software for automated trucks. They are seeking a Senior ML Engineer specializing in Neural Rendering to implement cutting-edge research and develop high-quality sensor simulations for autonomous vehicles.
Responsibilities:
• Implement the latest research advances in Neural Rendering and generative models
• Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations
• Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training
• Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks
• Own development projects in the team – From research, design, to implementation, testing and deployment
• Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes.
• Work in the cloud machine learning ecosystem alongside other machine learning services existing in the company.
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation.
• Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as needed.
Qualifications:
Required:
• Proficiency in Python and deep learning frameworks such as PyTorch.
• PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical Engineering) with industry experience in shipping production software.
• Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching).
• Background in Computer Graphics, 3D Reconstruction, or 3D Computer Vision.
• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.
• Experience with VDI and cloud based machine learning development environments.
• Expected to drive alignment across team interfaces to the rest of the organization.
• Designs, maintains and owns team technical solutions and drives consensus.
• Mentors and guides engineers within the group.
Preferred:
• Experience with autonomous driving or robotics perception in production environments.
• Proficiency with CUDA programming for efficient rendering of large-scale scenes.
• Publications in top-tier CV/AI/Graphics conferences (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, SIGGRAPH) or journals.
• Experience with MLOps and infrastructure tools (Ray).
• Familiarity with 3D labeling, calibration, and sensor simulation pipelines.
• Handling of Autonomous Driving Sensors – Multiple timestamp, multiple sensor data from cameras, lidars, and radars.
Company:
Torc provides L4 end-to-end self-driving software for mobility, trucking, mining, and defense markets through strategic partnerships Founded in 2005, the company is headquartered in Blacksburg, USA, with a team of 501-1000 employees. The company is currently Late Stage.