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Manager Robotics Engineer Localization Jobs in Stanford, CA

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Manager Robotics Engineer Localization information

See Stanford, CA salary details

$34.1K

$124.1K

$198.6K

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

As of Aug 9, 2026, the average yearly pay for manager robotics engineer localization in Stanford, CA is $124,081.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $149,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a manager robotics engineer 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?

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 the most commonly searched types of Robotics Engineer Localization jobs in Stanford, CA? The most popular types of Robotics Engineer Localization jobs in Stanford, CA are:
What cities near Stanford, CA are hiring for Manager Robotics Engineer Localization jobs? Cities near Stanford, CA with the most Manager Robotics Engineer Localization job openings:
Manager Robotics Engineer Localization jobs near you

Helix AI Engineer, Localization and Mapping

Figure

San Jose, CA • On-site

$200K - $400K/yr

Full-time

Posted 26 days ago

Job description

Figure is on a mission to develop and deploy general purpose humanoid robots for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are looking for passionate and motivated superstars to grow our world-class team. We are based in Sunnyvale, CA and require 5 days/week in-office collaboration. It's time to build.
Figure's vision is to deploy autonomous humanoids at a global scale. Our AI team is looking for Localization and Mapping Engineers to empower Figure humanoid robots to perform highly dynamic operations in demanding real-world environments.
Responsibilities:
  • Architect and implement real-time localization, ego-motion tracking, and state estimation systems by fusing multi-modal sensor data (cameras, IMUs, encoders, magnetic sensors).
  • Build and maintain scalable, offline pose-tracking pipelines to process large-scale training data from diverse sources.
  • Develop and optimize multi-sensor calibration systems for humanoid robotics and data collection platforms.
  • Partner with cross-functional teams to build comprehensive, data-driven evaluation and testing frameworks.
  • Design, engineer, and deploy high-quality, reliable software solutions for real-world robotics applications.

Required Qualifications:
  • Deep technical expertise in solving complex estimation and nonlinear optimization problems.
  • Strong command of 3D geometry, visual-inertial SLAM, and computer vision techniques, including feature matching/tracking, and Structure from Motion (SfM).
  • Experience writing performant C++ software.
  • Hands-on experience with sensor calibration (e.g., multi-camera and IMU intrinsics/extrinsics).
  • Ability to thrive in a fast-paced, ambiguous environment that requires rapid exploration and iteration.
  • Passion for advancing humanoid robotics technology.

Bonus Qualifications:
  • Experience implementing visual-inertial SLAM systems on legged robotic platforms.
  • Background in estimation problems related to human motion capture or AR/VR applications.
  • Experience applying state-of-the-art Deep Learning approaches to SLAM, 3D reconstruction, or human pose estimation.

The US base salary range for this full-time position is between $200,000 - $400,000
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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