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Manager Robotics Engineer Localization Jobs in Pomona, CA

DZYNE Technologies

Robotics Engineer

Irvine, CA · On-site

$100K - $125K/yr

Robotics Engineer Location: Irvine, CA Work Arrangement: On-site Position Description: We are ... Manage software configurations across development, test, and flight environments, including version ...

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

Manager Robotics Engineer Localization information

See Pomona, CA salary details

$29.1K

$106K

$169.7K

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

As of Jul 28, 2026, the average yearly pay for manager robotics engineer localization in Pomona, CA is $106,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $127,500.00 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 Pomona, CA? The most popular types of Robotics Engineer Localization jobs in Pomona, CA are:
What job categories do people searching Manager Robotics Engineer Localization jobs in Pomona, CA look for? The top searched job categories for Manager Robotics Engineer Localization jobs in Pomona, CA are:
What cities near Pomona, CA are hiring for Manager Robotics Engineer Localization jobs? Cities near Pomona, CA with the most Manager Robotics Engineer Localization job openings:
Manager Robotics Engineer Localization jobs near you

Robotics AI Engineer - Calibration, Localization, and Mapping

FieldAI

Irvine, CA

$70K - $300K/yr

Full-time

Posted 25 days ago

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Robotics AI Engineer - Calibration, Localization, and Mapping
 
 
About Field AI
Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact.
 
Learn more at https://fieldai.com.
 
About the Job
Field AI is seeking passionate scientists and engineers to play a vital role in the development of advanced geometric robot perception algorithms. As a member of our Calibration, Localization, and Mapping (CLAM) team, you will work with a team of high-focused individuals in a fast-paced environment to deliver production-quality code within our calibration, localization, and mapping subsystems. You will work with a variety of different sensing modalities and help streamline our calibration pipeline and/or develop environment-agnostic localization and mapping algorithms for our downstream autonomy modules. The specific project and work that you will be doing will depend on your specific skill set and area of interest. The ideal candidate will not only have a deep theoretical understanding of modern calibration, localization, and mapping algorithms, but also the practical skills to deliver high-quality and maintainable code on a small, focused team in a fast-paced environment.
 
 
What You'll Get To Do
  • Design and implement state-of-the-art calibration, localization, and mapping algorithms for our autonomous quadrupeds and humanoids
  • Develop various tools and metrics to continuously validate and benchmark the performance of our various subsystems
  • Write clean, efficient, and maintainable code in C++ and Python
  • Collaborate with cross-functional teams to integrate and deploy your algorithms into real-world systems
What You Have
  • Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field, with expertise in calibration, localization, and/or 3D mapping
  • Strong mathematical foundation in linear algebra, probability theory, numerical optimization, 3D geometry, Lie theory, and 3D kinematics
  • Strong theoretical understanding and practical experience with different linear and non-linear state estimation frameworks for sensor fusion
  • Familiarity with state-of-the-art LiDAR-inertial odometry and SLAM algorithms
  • Familiarity with state-of-the-art visual-inertial odometry and SLAM algorithms
  • Experience with sensor calibration (intrinsics and extrinsics) and time synchronization
  • Strong proficiency in C++ and Python and modern best practices, with the ability to write maintainable and efficient code
  • Strong understanding how ROS works and experience with designing, building, and deploying your own nodes into a complex robotic system
  • Strong problem-solving skills, attention to detail, and being able to work independently while managing multiple priorities
  • Strong work ethic, highly self-motivated, and excellent written and verbal communication skills
The Extras That Set You Apart
  • Publications and/or patents in calibration, state estimation, odometry, and/or SLAM
  • Experience working with noisy sensor measurements and designing outlier-resilient algorithms
  • Experience working with computationally constrained platforms and designing efficient, real-time algorithms with low computational complexity
  • Experience with other sensing modalities (e.g., radar, doppler-LiDAR, GPS, etc.)
  • Experience with modern version control and project management tools
Field AI Onsite Work Philosophy:
 
Field AI believes in-person collaboration is essential for tackling complex challenges. This is a fully onsite role based in our Irvine, CA office, with flexible hours to support work-life balance.
We are committed to fostering a diverse and inclusive workplace and encourage candidates from all backgrounds to apply.

Compensation and Benefits
Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!



We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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