ZipRecruiter

Log In

1

Manager Robotics Engineer Localization Jobs in Burlingame, CA

Jobtailor

ML Engineer - Robotics

Mountain View, CA · On-site

$140 - $210/hr

Collaborate with robotics and hardware engineers to deploy models in live environments ... Strong grasp of robotics concepts such as localization, SLAM, control systems, and sensor fusion.

Medium

Autonomy Engineer II - Robotics

Palo Alto, CA · On-site

$100 - $130/hr

Implement behavior planning, mission management, and autonomous decision-making frameworks ... Knowledge of state estimation, localization, SLAM, and sensor fusion techniques. * Experience with ...

Cyngn, Inc.

Senior C++ Robotics Engineer

Mountain View, CA · On-site

$198 - $225/hr

Develop and maintain critical system components including state management, health monitoring, and ... Collaborate with cross‑functional teams to integrate perception, localization, and control ...

previous pagenext page

Showing results 21-40

All JobsRobotics Engineer Localization JobsManager Robotics Engineer Localization JobsManager Robotics Engineer Localization Jobs in Burlingame, CA

Manager Robotics Engineer Localization information

See Burlingame, CA salary details

$32.7K

$119.2K

$190.8K

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

As of Sep 3, 2026, the average yearly pay for manager robotics engineer localization in Burlingame, CA is $119,240.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $143,400.00 per year, depending on experience, location, and employer.

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 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 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 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 cities near Burlingame, CA are hiring for Manager Robotics Engineer Localization jobs?

Cities near Burlingame, CA with the most Manager Robotics Engineer Localization job openings:

Manager Robotics Engineer Localization jobs near you

ML Engineer - Robotics

Jobtailor

Mountain View, CA • On-site

$140 - $210/hr

Other

Posted 16 days ago

Job description

Responsibilities
  • Develop and optimize ML models for perception, motion planning, and control.
  • Build computer vision and sensor-fusion systems using camera, LiDAR, and IMU data.
  • Integrate learning-based models with robotics software stacks (ROS/ROS2).
  • Design pipelines for data collection, simulation, and reinforcement learning.
  • Collaborate with robotics and hardware engineers to deploy models in live environments.
  • Continuously evaluate model performance and robustness across diverse scenarios.
Requirements
  • Proficiency in Python and C++, with hands‑on experience using PyTorch and/or TensorFlow to build and deploy models.
  • Experience with ROS or ROS2 and integrating ML models into robotics software stacks for live deployments.
  • 3–10 years of experience in machine learning, robotics, or computer vision.
  • Strong grasp of robotics concepts such as localization, SLAM, control systems, and sensor fusion.
  • Experience with simulation environments (e.g., Gazebo, Isaac Sim, CARLA, MuJoCo, or PyBullet) for training, testing, or validation.
  • Familiarity with reinforcement learning, imitation learning, or adaptive control techniques applicable to robotics.
  • Experience deploying ML models in real‑time or embedded environments.
  • Nice to Have: Experience with on‑board/edge deployment and optimizing models for constrained hardware.
Core Competencies

Demonstrates expertise in developing and optimizing machine learning models for robotics applications, with a strong focus on computer vision, sensor fusion, and real‑time deployment. Proficient in integrating learning‑based models with robotics software stacks and evaluating model performance in diverse environments.

#J-18808-Ljbffr

Apply