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Robotics Perception Jobs in Foley, AL (NOW HIRING)

Persona AI

Robotics Simulation Engineer

Pensacola, FL · On-site

Integrate all autonomy subsystems (locomotion, manipulation, perception, hands, navigation, welding ... Prototype and mock-test robot behaviors (welding, navigation, manipulation) in simulation before ...

All JobsRobotics Perception JobsRobotics Perception Jobs in Foley, AL

Robotics Perception information

See Foley, AL salary details

$71.9K

$82.2K

$99.7K

How much do robotics perception jobs pay per year?

As of Jun 28, 2026, the average yearly pay for robotics perception in Foley, AL is $82,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $87,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in Robotics Perception roles when integrating perception systems with real-world robotics applications?

A key challenge in Robotics Perception is ensuring that perception algorithms—such as object detection, mapping, and localization—operate reliably in dynamic, unstructured environments. Professionals often need to address sensor noise, variable lighting conditions, and occlusions that can impact data quality. Integrating perception systems with robotic hardware requires close collaboration with mechanical, software, and controls engineers to ensure real-time performance and robustness. Adapting solutions to different platforms and continuously validating them in field tests is also an essential, ongoing responsibility.

What is robotics perception?

Robotics perception refers to the ability of robots to interpret and understand their environment using sensors such as cameras, LIDAR, and radar. This field combines elements of computer vision, machine learning, and sensor fusion to help robots identify objects, navigate spaces, and interact with the world safely and effectively. Robotics perception is crucial for autonomous systems like self-driving cars, drones, and industrial robots, enabling them to make decisions based on real-time data from their surroundings.

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

AspectRobotics PerceptionRobotics Software Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or related fields; experience with perception algorithmsBachelor's or Master's in Computer Science, Software Engineering, or related; programming skills in C++, Python
Work EnvironmentResearch labs, R&D departments, industry settings focused on sensor data processingDevelopment teams, industrial or research settings, focusing on software development for robots
Industry UsageUsed in autonomous vehicles, drones, and robotic systems for environment understandingDevelops the software that enables robotic functionalities, including perception modules

Robotics Perception specialists focus on developing algorithms that interpret sensor data to understand the environment, while Robotics Software Engineers build the overall software systems that incorporate perception modules. Both roles often collaborate but differ in their core focus and skill sets.

What are the key skills and qualifications needed to thrive as a Robotics Perception Engineer, and why are they important?

To thrive as a Robotics Perception Engineer, you need a solid background in computer vision, machine learning, and robotics, typically supported by a degree in computer science, engineering, or a related field. Experience with tools like ROS (Robot Operating System), OpenCV, and programming languages such as Python or C++ is essential, along with familiarity with sensor technologies and perception algorithms. Strong problem-solving skills, teamwork, and clear communication are crucial soft skills for addressing complex challenges and collaborating effectively. These abilities ensure robust perception systems, enabling robots to interpret and interact safely and efficiently with their environments.
Robotics Perception jobs near you

Robotics Software Engineer, Manipulation

Persona AI

Pensacola, FL • On-site

Full-time

Posted 17 days ago

Job description

We're looking for exceptional people who dream big, thrive on challenges, and love seeing their designs come to life. We are primarily interested in candidates who have shipped products in the fields of autonomy, robotics, consumer products, medical devices, automotive, or aerospace. We also value advanced degrees and deep expertise.
As an inaugural engineer at Persona, you will have an incredible opportunity to shape the design of Persona's humanoid robots, while also helping set the culture of the company. If you're passionate about cutting-edge technology and want to be part of a world-class team we'd love to hear from you.
Your Role:
  • Design and implement advanced, dexterous manipulation algorithms for humanoid robots with high DOF and multi-fingered hands.
  • Develop and optimize the manipulation pipeline, encompassing perception, grasping, trajectory optimization, motion planning, and control. Tackle complex tasks such as precise grasping, dual-arm manipulation, and in-hand object manipulation.
  • Implement robust control strategies for precise and dexterous manipulation, including force/motion control and visual/tactile servoing.
  • Integrate the manipulation pipeline with the humanoid robot's whole-body controller and contribute to loco-manipulation development.
  • Develop digital-twins of the manipulation scenes for algorithm development. Utilize simulators such as MuJoCo and Isaac Sim.
  • Conduct rigorous testing in both simulated and real-world environments.
  • Work closely with the machine learning team to help train and deploy models for advanced manipulation tasks.
  • Stay informed about the latest research and advancements in manipulation, leveraging both traditional methods and deep learning-based approaches.

We're Looking For:
  • BS, MS, or PhD in Robotics, Computer Science, or a related field.
  • 7+ years of experience (5+ with advanced degree) in robotics with a strong emphasis on control and manipulation of robotics/humanoid arms.
  • Strong background in motion planning, control theory, and optimization.
  • Demonstrated expertise in implementing advanced manipulation algorithms for tasks such as pick-and-place, bin picking, door opening, etc.
  • Proficiency in C++, Python, and relevant robotics libraries (e.g., MoveIt!, Drake, OpenRAVE).
  • Experience with trajectory optimization libraries (e.g., IPOPT, SNOPT, qpOASES).
  • Proficiency with modern deep learning techniques for manipulation.
  • Experience with computer vision algorithms, sensors, point clouds, segmentation and object detection.
  • Familiar with ROS, LCM, or other middleware for robotic systems.

Preferred or Bonus Qualifications:
  • Experience in developing algorithms for contact modeling and force/torque estimation with a focus on tactile sensing and feedback for dexterous tasks.
  • Experience with machine learning for dexterous manipulation, including learning-based grasp strategies, behavior cloning and reinforcement learning.
  • Publications in top-tier robotics conferences focusing on dexterous manipulation.
  • Experience in a humanoid robot startup environment.

Apply