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Robotics Ai Manager Jobs in California (NOW HIRING)

Divergent

Industrial Robotics Engineer

Torrance, CA · On-site

... Robotics & AI Software team. In this role, you will have the opportunity to work closely with ... Ability to work effectively with cross-functional teams, including product managers & owners ...

Infotech Sourcing

Sourcing manager III

Fremont, CA · On-site

Vendor Strategy & Management: ? Develop and nurture strategic vendor relationships through ... Specialized Requirements (Robotics/AI Sourcing Focus): Requires a Master's or Bachelor's degree (or ...

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Robotics Ai Manager information

What is a Robotics AI Manager?

A Robotics AI Manager is a professional who oversees the development, implementation, and management of artificial intelligence (AI) systems within robotics projects. They coordinate teams of engineers, data scientists, and developers to design intelligent robots that can perform tasks autonomously or with minimal human intervention. Their responsibilities include project management, strategic planning, and ensuring that AI technologies are effectively integrated into robotic systems to meet organizational goals.

What are the key skills and qualifications needed to thrive as a Robotics AI Manager?

To thrive as a Robotics AI Manager, you need a blend of expertise in robotics, machine learning, and project management, often supported by a degree in computer science, engineering, or a related field. Familiarity with programming languages (such as Python or C++), robotics platforms (like ROS), and AI frameworks (such as TensorFlow or PyTorch) is typically required, along with experience in managing cross-functional teams. Strong leadership, strategic thinking, and excellent communication skills help distinguish top performers in this role. These competencies ensure effective project delivery, innovation, and the successful integration of AI-driven robotics solutions in complex environments.

What is the difference between Robotics Ai Manager vs Robotics Engineer?

AspectRobotics Ai ManagerRobotics Engineer
Required CredentialsBachelor's or higher in Robotics, AI, or related fields; experience in AI project managementBachelor's or higher in Robotics, Mechanical, Electrical Engineering, or related fields
Work EnvironmentLeads teams, manages AI projects, collaborates with cross-functional teamsDesigns, develops, tests robotic systems and components
Employer & Industry UsageTech companies, manufacturing, research labsRobotics firms, automation companies, research institutions
Common Search & ComparisonOften compared for leadership roles in robotics AI projectsFocuses on technical development and engineering tasks

The Robotics Ai Manager oversees AI-driven robotics projects, managing teams and strategy, while Robotics Engineers focus on designing and building robotic systems. Both roles require technical knowledge, but the manager emphasizes leadership and project management, whereas engineers concentrate on technical development.

What are the main challenges Robotics AI Managers face when leading multidisciplinary teams?

Robotics AI Managers often lead teams composed of software engineers, mechanical engineers, data scientists, and robotics specialists. One common challenge is ensuring effective communication and collaboration across these diverse disciplines, each with its own jargon and methodologies. Balancing project timelines while integrating hardware and AI-driven software components can also be complex. Successful managers foster a culture of open communication, establish clear project milestones, and encourage cross-functional knowledge sharing to overcome these hurdles.
What are the most commonly searched types of Robotics Ai jobs in California? The most popular types of Robotics Ai jobs in California are:
What are popular job titles related to Robotics Ai Manager jobs in California? For Robotics Ai Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Robotics Ai Manager jobs in California look for? The top searched job categories for Robotics Ai Manager jobs in California are:
What cities in California are hiring for Robotics Ai Manager jobs? Cities in California with the most Robotics Ai Manager job openings:
Robotics Ai Manager jobs near you
Infographic showing various Robotics Ai Manager job openings in California as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Robotics AI Engineer - Sensor Calibration

FieldAI

Irvine, CA

Full-time

Posted 5 days ago

Job description

Robotics AI Engineer - Sensor Calibration
 
 
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 a Robotics AI Engineer to help advance the sensor calibration systems that power our autonomous robots. As a member of our Calibration, Localization, and Mapping (CLAM) team, you will work alongside a highly focused group of engineers developing production-grade calibration pipelines for complex multi-sensor robotic platforms. Your work will span camera, LiDAR, IMU, and other sensor modalities, contributing to intrinsic, extrinsic, and temporal calibration workflows that enable reliable perception in real-world environments. Depending on your experience and interests, you'll improve automated calibration tooling, optimize large-scale sensor data processing, and develop robust calibration algorithms that support our downstream localization, mapping, and autonomy systems. The ideal candidate combines a strong foundation in robotics, computer vision, and 3D geometry with the practical engineering skills needed to build scalable, maintainable software in a fast-paced, collaborative environment.
 
 
What You Get To Do
 
  • Develop and refine sensor calibration workflows for various sensor modalities (e.g., LiDAR, cameras, IMUs), including intrinsic, extrinsic and temporal calibration in online and offline settings.
  • Design and implement scalable systems to manage and process large sensor datasets for calibration purposes, ensuring high reliability and performance.
  • Implement and optimize algorithms in C++ and Python, maintaining a clean and organized code base.
  • Explore and integrate emerging technologies and tools to enhance sensor calibration workflows.
  • Collaborate with cross-functional teams to meet project-specific documentation requirements and deliverables.
 
What You Have
 
  • Master's degree in Computer Science, Engineering, or a related field.
  • 2+ years of work experience as a robotics software engineer, with expertise in robotics, computer vision and sensor calibration.
  • Proficiency in C++ and Python, with a proven ability to write maintainable and efficient code.
  • Solid background knowledge of 3D geometry and computer vision.
  • Solid understanding of sensor calibration techniques (e.g., camera intrinsic calibration, LiDAR-Camera calibration, multi-sensor extrinsic calibration).
  • Hands-on experience with sensor data processing tools and libraries such as PCL, Open3D, OpenCV, Kalibr, etc.
  • Familiarity with Robot Operating System (ROS) and software development practices in Ubuntu.
  • Familiarity with backend optimization tools and libraries such as Ceres, GTSAM, g2o.
  • Strong problem-solving skills, attention to detail, and 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
 
  • Ph.D. in Computer Science, Engineering, or a related field.
  • Research experience with publications in top-tier conferences or journals related to robotics, computer vision or machine vision.
  • Familiarity with factory-level calibration procedures and tooling for high-volume product lines (e.g., drones, autonomous vehicles, AR/VR devices).
  • Hands-on experience calibrating hundreds of camera intrinsics or camera-LiDAR systems at scale, including automated or semi-automated workflows.
 
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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