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Manager Robotics Engineer Localization Jobs in Orlando, FL

Varsity Tutors

Robotics Tutor

Orlando, FL · Remote

$40/hr

Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides ... managing team-based design projects. Adapts instruction using hands-on building activities ...

Autonomi Robotics

Mechanical Engineer

Orlando, FL · On-site

Strong CAD proficiency SolidWorks, CATIA, or equivalent with a structured, well-managed approach to ... Experience with autonomous mobile robots or wheeled platforms * Background in medical device or ...

Autonomi Robotics

Operations Lead

Orlando, FL · On-site

Feed field learnings back to engineering and product What we're looking for * 35 years in field ... Experience with robotics, autonomous systems, or fleet management * Background in logistics ...

Unusual Machines

Equipment Engineering Manager

Orlando, FL · On-site

$120K - $150K/yr

Lead the design and build of custom machines and tooling, including industrial robotics, conveyors ... Prior experience leading and managing an engineering team responsible for building equipment * Deep ...

Unusual Machines

Equipment Engineering Manager

Orlando, FL · On-site

$120K - $150K/yr

Lead the design and build of custom machines and tooling, including industrial robotics, conveyors ... Prior experience leading and managing an engineering team responsible for building equipment * Deep ...

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All JobsRobotics Engineer Localization JobsManager Robotics Engineer Localization JobsManager Robotics Engineer Localization Jobs in Orlando, FL

Manager Robotics Engineer Localization information

See Orlando, FL salary details

$27.1K

$98.6K

$157.8K

How much do manager robotics engineer localization jobs pay per year?

As of Jun 14, 2026, the average yearly pay for manager robotics engineer localization in Orlando, FL is $98,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,900.00 and $118,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a Manager Robotics Engineer specializing in Localization, and how can they be addressed?

Managers in robotics engineering localization often encounter challenges such as integrating localization algorithms with real-world sensor data, ensuring robust performance in diverse environments, and managing cross-functional teams with varied expertise. Addressing these challenges requires strong communication skills, proactive problem-solving, and fostering close collaboration between software developers, hardware engineers, and research scientists. Regular team meetings, continuous testing in different scenarios, and investing in professional development can help ensure successful project outcomes and innovation in localization solutions.

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

To thrive as a Manager Robotics Engineer Localization, you need expertise in robotics, localization algorithms (such as SLAM), and a relevant engineering degree, often paired with experience in project or team management. Familiarity with ROS (Robot Operating System), C++/Python programming, and simulation tools like Gazebo, as well as certifications in robotics or project management, are commonly required. Strong leadership, effective communication, and problem-solving abilities help you lead teams and coordinate complex, multidisciplinary projects. These skills ensure the successful development and deployment of accurate localization solutions in robotics systems, driving innovation and team performance.

What does a Manager Robotics Engineer Localization do?

A Manager Robotics Engineer Localization leads teams that develop and refine the technology enabling robots to determine their precise position and orientation in various environments. This role involves overseeing projects focused on algorithms and systems for mapping, navigation, and sensor fusion. The manager collaborates with engineers and cross-functional teams to ensure robust and efficient localization solutions for robotic applications, such as autonomous vehicles or warehouse automation. Responsibilities also include mentoring staff, setting technical direction, and ensuring projects meet performance and safety standards.

What is the difference between Manager Robotics Engineer Localization vs Robotics Engineer Localization?

AspectManager Robotics Engineer LocalizationRobotics Engineer Localization
CredentialsBachelor's/Master's in Robotics, Engineering, or related; leadership experienceBachelor's/Master's in Robotics, Mechanical, Electrical Engineering
Work EnvironmentTeam leadership, project management, strategic planningDesign, development, testing of localization systems
Employer & Industry UsageRobotics companies, tech firms, manufacturingRobotics development, research labs, automation firms

The Manager Robotics Engineer Localization oversees localization projects, manages teams, and aligns strategies with company goals. In contrast, the Robotics Engineer Localization focuses on technical development and implementation of localization systems. Both roles require engineering expertise, but the manager role emphasizes leadership and project oversight.

What are popular job titles related to Manager Robotics Engineer Localization jobs in Orlando, FL? For Manager Robotics Engineer Localization jobs in Orlando, FL, the most frequently searched job titles are:
What job categories do people searching Manager Robotics Engineer Localization jobs in Orlando, FL look for? The top searched job categories for Manager Robotics Engineer Localization jobs in Orlando, FL are:
What cities near Orlando, FL are hiring for Manager Robotics Engineer Localization jobs? Cities near Orlando, FL with the most Manager Robotics Engineer Localization job openings:
Manager Robotics Engineer Localization jobs near you

Two Interns: Robotics Software Engineer (Orlando, Florida)

Planate Management Group

Orlando, FL • On-site

Full-time

Posted 13 days ago

Job description

Risen Line Solutions is seeking two Robotics Software Engineer Interns to support the development of an advanced, AI-enabled mailroom screening and automation platform.

This internship is designed to provide hands-on experience in real-world robotics system development, bridging the gap between academic theory and operational deployment. As an intern, you will work with experienced engineers contributing to system integration, software development, and testing of robotics and AI-enabled screening technologies.

Key Responsibilities:

  • Assist in developing and testing software modules supporting robotic inspection workflows
  • Support integration of vision systems, sensors, and robotic components
  • Participate in system testing, validation, and performance evaluation efforts
  • Help document system behavior, configurations, and test results
  • Contribute to debugging and troubleshooting
  • Assist in prototyping and refining automation workflows for mailroom screening
  • Observe and support field-oriented concepts such as calibration, deployment readiness, and system configuration

Qualifications to be successful in the role:

  • Currently pursuing a Bachelor’s or Master’s degree in Robotics Engineering, Computer Engineering, Computer Science, Mechanical Engineering, Electrical Engineering, or a closely related field preferably at least in a junior level
  • Programming experience in Python and/or C++
  • Basic understanding of software development fundamentals
  • Exposure to robotics, embedded systems, or hardware–software integration concepts
  • Familiarity with version control systems (e.g., Git)
  • Exposure to ROS/ROS2 or similar robotics frameworks (preferred)
  • Experience with computer vision tools such as OpenCV (preferred)
  • Hands-on experience with sensors, cameras, or embedded hardware systems (preferred)
  • Participation in robotics labs, research projects, internships, or competitions (preferred)
  • Strong interest in robotics, automation, AI-enabled systems, or applied engineering
  • Willingness to work across software, hardware, and system integration layers
  • Ability to learn quickly in a structured engineering environment
  • Strong communication and documentation skills 
Employment Type: FULL_TIME

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