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Manager Robotics Engineer Localization Jobs in Los Angeles, CA

Multiply Labs

Robotics Field Engineer

Los Angeles, CA

$90K - $160K/yr

About the Role As a Robotics Field Engineer, you will be the on-site operational lead for our ... You will collaborate daily with internal and external teams to coordinate operations, manage ...

Multiply Labs

Robotics Field Engineer

Los Angeles, CA · On-site

About the Role As a Robotics Field Engineer, you will be the on-site operational lead for our ... You will collaborate daily with internal and external teams to coordinate operations, manage ...

FieldAI

Robotics Autonomy Engineer - Federal

Irvine, CA · On-site

$140K - $160K/yr

Experience using Jira or Wrike or Confluence or other program management software tools * Ability ... Our Field Foundational Models™ set a new standard in perception, planning, localization, and ...

FieldAI

Robotics Autonomy Engineer - Federal

Irvine, CA · On-site

$140K - $160K/yr

Experience using Jira or Wrike or Confluence or other program management software tools * Ability ... Our Field Foundational Models set a new standard in perception, planning, localization, and ...

FieldAI

Robotics Autonomy Engineer - Federal

Irvine, CA

$140K - $160K/yr

Experience using Jira or Wrike or Confluence or other program management software tools * Ability ... Our Field Foundational Models™ set a new standard in perception, planning, localization, and ...

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Manager Robotics Engineer Localization information

See Los Angeles, CA salary details

$31.2K

$113.8K

$182.1K

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

As of Aug 7, 2026, the average yearly pay for manager robotics engineer localization in Los Angeles, CA is $113,790.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $136,800.00 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 Los Angeles, CA? The most popular types of Robotics Engineer Localization jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Manager Robotics Engineer Localization jobs? Cities near Los Angeles, CA with the most Manager Robotics Engineer Localization job openings:
Manager Robotics Engineer Localization jobs near you

Internship - Robot Control Systems (Fall 2026)

FieldAI

Irvine, CA • On-site

$47 - $53/hr

Full-time, Internship

Re-posted 19 days ago

Job description

Who are We?

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.

Learn more at https://fieldai.com.

About the Job

At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We're looking for a Robotics Controls Intern to join our autonomy team and work directly alongside our senior engineers to tackle complex control challenges for large-scale, off-road vehicles. In this highly impactful internship, you will help bridge the gap between advanced control theory and field-deployable products. You will dive into system dynamics modeling, optimize GPU-accelerated control libraries, and develop computationally constrained control schemes for heterogeneous platforms, ranging from massive off-road vehicles to smaller, resource-limited robotic systems. Furthermore, you will play a critical role in designing and implementing low-latency safety layers that protect our robots in both tele-operated and fully autonomous modes. This is a hands-on role for a driven researcher or engineer who wants to see their code running on real vehicles in extreme, unstructured environments.

What You Have 

  • Currently pursuing a Ph.D. or Master's degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a highly related field with a focus on control systems.

  • Deep theoretical understanding and practical experience with advanced control methodologies, particularly predictive and sampling-based control (e.g., MPPI, MPC).

  • Strong proficiency in GPU programming (specifically CUDA) with a track record of accelerating and optimizing complex algorithms for real-time execution.

  • Hands-on experience taking control algorithms out of simulation and deploying them onto physical robots in real-world environments.

  • Experience with system dynamics modeling, system identification, and training learning models for robotic platforms.

  • Strong software engineering skills in C++ and Python, with the ability to write clean, deployable code for robotics applications.

  • Hands-on experience with Linux, ROS1/2 and  Docker

The Extras That Set You Apart

  • Experience working with large-scale, off-road, or high-speed autonomous wheeled vehicles in unstructured environments.

  • Experience designing and implementing low-latency safety layers or safety controllers for autonomous or tele-operated systems.

  • Demonstrated ability to reduce compute costs and adapt computationally heavy control schemes for hardware-constrained systems.

  • Experience maintaining or significantly contributing to open-source robotics control libraries.

  • Familiarity working within established, fast-paced autonomy engineering teams and seamlessly integrating with existing software stacks.

  • Knowledge of containerization (Kubernetes) and modern DevOps practices.

$47 - $53 an hour

Compensation

The salary range for this role is $47.00-$53.00/hr. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. 

 
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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