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Manager Robotics Engineer Localization Jobs in Texas

Graphcore

Staff Robotics Engineer

Austin, TX · On-site

Help build scalable software infrastructure, device management systems, and fleet coordination ... Familiarity with 3D localization or VLM-based object detection (e.g., perception/ segmentation)

Graphcore

Staff Robotics Engineer

Austin, TX · On-site

Help build scalable software infrastructure, device management systems, and fleet coordination ... Familiarity with 3D localization or VLM-based object detection (e.g., perception/ segmentation)

FANUC America Corporation

Robotics Engineer

Houston, TX · On-site

Manage and support systems integration at FANUC West locations and at customer sites * Comply with ... FANUC robot programming experience It's Your Move At FANUC America, we are driven by a deep respect ...

FANUC America

Robotics Engineer

Houston, TX

Manage and support systems integration at FANUC West locations and at customer sites * Comply with ... FANUC robot programming experience It's Your Move At FANUC America, we are driven by a deep respect ...

Daifuku

Robotics Engineer III

Fort Worth, TX · On-site

Prepares robot programming and configuration documentation ... Maintains a progress schedule that meets project milestones and effectively time manages and ...

Nimble Robotics

Robotics Support Engineer

Haslet, TX

$100K - $130K/yr

We are a hardcore and obsessed team of the world's best engineers and operators. If you are ... Preference for hands-on experience with robotics fleet management and autonomous logistics.

Nimble Robotics

Robotics Support Engineer

Haslet, TX

$100K - $130K/yr

We are a hardcore and obsessed team of the world's best engineers and operators. If you are ... Preference for hands-on experience with robotics fleet management and autonomous logistics.

Nimble Robotics

Robotics Support Engineer

Haslet, TX · On-site

$100K - $130K/yr

We are a hardcore and obsessed team of the world's best engineers and operators. If you are ... Preference for hands-on experience with robotics fleet management and autonomous logistics.

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Manager Robotics Engineer Localization information

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.

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Manager Robotics Engineer Localization jobs near you

Software Engineer - Localization & Mapping

Avride

Austin, TX

Other

Posted 12 days ago

Job description

About the team

Avride is a rapidly developing company in the autonomous vehicle and delivery robot industry. We develop autonomous vehicle technology from scratch, leveraging the strong technical background of our core team and over seven years of experience in autonomous vehicle development. The Localization team is responsible for providing precise rover location to all the components of the autonomous rover pipeline, like perception, behavior layer, and control. We calculate the position and the orientation of the rover with centimeter and fraction-of-a-degree accuracy, dozens of times per second, and in all conditions. Our most valuable asset is people, each with many years of experience in robotics, EKF, ICP, SLAM algorithms, distributed data processing, software architecture, and machine learning, working together as a motivated, effective, and friendly team.

About the role

We are looking for an experienced software engineer to help us build Avride's Localization and Mapping subsystems. You will design and implement on-board localization algorithms and cloud mapping algorithms, improve the precision and reliability of rover localization in hard-to-navigate environments, and improve and speed up cloud mapping SLAM-based processes of lidar map building. You will be able to make data-driven decisions and innovate at one of the exciting frontiers of technological advancement.

What you'll do
  • Develop the cloud mapping subsystem with graph optimization at its core.
  • Develop the Sensor Fusion Localization subsystem, which combines the measurements of multiple sensors (LiDAR, IMU, GNSS, etc.) to calculate rover position to centimeter precision and orientation to 0.1-degree precision.
  • Support sister development and operation teams on issues related to localization.
What you'll need
  • 3+ years of professional software engineering experience
  • Strong C++ programming skills
  • Solid understanding of algorithms, data structures, and software design patterns
  • Solid soft skills - intra- and inter-team collaboration, business-driven development focus, planning and getting-things-done, effective and respectful communication
Nice to have
  • Experience in robotics. Good knowledge of EKF, localization, calibration, and point cloud processing algorithms is welcome.
  • Strong mathematical knowledge and skills, especially in optimization, probability theory, and mechanics. Ability to turn ideas into formulas and formulas into algorithms.
  • Relevant publications or achievements in hackathons / programming contests
  • Eagerness to track recent advancements in the field and implement the best ideas to keep algorithms' performance state-of-the-art and beyond

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