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Manager Robotics Engineer Localization Jobs in Milpitas, CA

Exhibits effective communication, leadership, organizational, engineering, program management, and ... Robotics Manipulation Engineer Responsibilities: * Partner with server hardware and operations ...

Senior C++ Robotics Engineer

Mountain View, CA ยท On-site

$144K - $190K/yr

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

Senior C++ Robotics Engineer

Mountain View, CA ยท Remote

$198K - $225K/yr

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

Senior C++ Robotics Engineer

Mountain View, CA ยท On-site

$144K - $190K/yr

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

Robotics Manipulation Engineer

Fremont, CA ยท On-site

$208K - $289K/yr

The Robotics Engineer is responsible for driving the integration of robotics, electromechanical ... Exhibits effective communication, leadership, organizational, engineering, program management, and ...

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Autonomous Robotics Software Engineer (Robotics / Autonomy / C++) Advanced Robotics Group, LLC is ... for localization, mapping, path planning, and navigation ยท Integrate perception, sensing, and ...

Sourcing Manager, Robotics Location: Fremont, CA On-site Nextpower About Nextpower Nextpower ... Partner with engineering, manufacturing, and quality teams to ensure DFM/DFA readiness * Support ...

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Showing results 1-20

Manager Robotics Engineer Localization information

See Milpitas, CA salary details

$33.8K

$123.1K

$196.9K

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

As of Jul 19, 2026, the average yearly pay for manager robotics engineer localization in Milpitas, CA is $123,069.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $148,000.00 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 the most commonly searched types of Robotics Engineer Localization jobs in Milpitas, CA? The most popular types of Robotics Engineer Localization jobs in Milpitas, CA are:
What are popular job titles related to Manager Robotics Engineer Localization jobs in Milpitas, CA? For Manager Robotics Engineer Localization jobs in Milpitas, CA, the most frequently searched job titles are:
What job categories do people searching Manager Robotics Engineer Localization jobs in Milpitas, CA look for? The top searched job categories for Manager Robotics Engineer Localization jobs in Milpitas, CA are:
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Re-posted 26 days ago


Job description

About Noble Machines

Noble Machines (formerly Under Control Robotics) builds multipurpose robots to support human workers in the world's toughest jobs-turning dangerous work from a necessity into a choice. Our work demands reliability, robustness, and readiness for the unexpected-on time, every time. We're assembling a mission-driven team focused on delivering real impact in heavy industry, from construction and mining to energy. If you're driven to build rugged, reliable products that solve real-world problems, we'd love to talk.

Position Overview

At Noble Machines, building is a team sport. As a machine learning engineer, you'll take ownership and lead the development of advanced machine learning and AI systems powering multipurpose humanoid robots in the real world. You'll design, implement, and optimize learning algorithms that enable robots to move fluidly across diverse environments while performing complex manipulation tasks.

Responsibilities
  • Create and optimize learning pipelines for training locomotion policies that generalize across environments
  • Develop and implement machine learning models for robot perception, decision-making, and motion planning
  • Create and optimize computer vision systems for environmental awareness and object recognition
  • Collaborate with the hardware team to integrate learning systems with the physical platforms
  • Design simulation environments for training and testing learning algorithms
  • Collect, process, and analyze field data to improve learning systems continuously
  • Develop metrics and benchmarks to evaluate robot learning performance
  • Stay current with the latest research and innovations in robotics and machine learning
Requirements
  • Master's or PhD in Robotics, Computer Science, Machine Learning, or related field
  • 3+ years of experience developing machine learning applications for robotics systems
  • Strong programming skills in Python, C++, and relevant ML frameworks (TensorFlow, PyTorch)
  • Experience with reinforcement learning, computer vision, and motion planning algorithms
  • Familiarity with ROS (Robot Operating System) or similar robotics frameworks
  • Knowledge of control systems and robot kinematics
  • Strong mathematical background in linear algebra, calculus, and statistics
  • Experience with simulation tools for robotics (Gazebo, MuJoCo, Isaac Sim, etc.)
  • Proven track record of implementing ML solutions in robotics applications
  • Experience with legged robot locomotion and dynamic stability control
Nice to Have
  • Experience with humanoid robots or complex multi-joint robotic systems
  • Knowledge of model predictive control (MPC) for locomotion
  • Familiarity with trajectory optimization for legged robots
  • Knowledge of industrial environments (construction, energy, mining, or manufacturing)
  • Understanding of safety considerations for learning-based robotic systems
  • Experience with edge computing and deploying ML models on embedded systems
  • Familiarity with human-robot interaction paradigms
  • Background in imitation learning or learning from demonstration
  • Experience with SLAM (Simultaneous Localization and Mapping) techniques
  • Publications in relevant conferences (ICRA, IROS, NeurIPS, etc.)

The base salary range for this full-time position is $170,000 - $400,000, in addition to bonus, equity and benefits.

To apply, submit your resume here or email people@noblemachines.ai.ย To increase your chances of being selected for an interview, we encourage you to include up to TWO examples of your most representative work featuring hardware demonstrations.