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Robotics Lab Manager Jobs in California (NOW HIRING)

The Training Lab Associate supports the daily operations of the training laboratory by coordinating ... Administrative * * Assist in managing Intuitive Surgical Robotic Platforms and supplemental ...

Automation Engineer

Menlo Park, CA · On-site

$200K - $250K/yr

Build and maintain services that connect instruments and robots to lab information systems ... Hands-on experience with information management and execution systems, such as LIMS or MES.

Showing results 41-60

Robotics Lab Manager information

What is a robotics lab manager?

Robotics Lab Managers are professionals responsible for overseeing the daily operations of robotics laboratories. They manage lab staff, maintain equipment, ensure safety protocols are followed, and support research and development activities. Their role often includes budgeting, scheduling, inventory management, and sometimes hands-on work with robotics systems and software. Robotics Lab Managers also facilitate collaboration between researchers, students, and external partners to drive innovation and achieve project goals.

What are the key skills and qualifications needed to thrive as a robotics lab manager, and why are they important?

To thrive as a Robotics Lab Manager, you need a solid background in robotics engineering, project management, and laboratory safety protocols, typically supported by a relevant engineering degree. Familiarity with robotic hardware, programming languages (such as Python or ROS), and lab management software is crucial, and certifications in project management or safety can be advantageous. Strong leadership, organizational, and communication skills help foster team collaboration and maintain efficient lab operations. These skills and qualifications are essential to ensure innovative research, safe environments, and successful project outcomes in a robotics lab setting.

What are some common challenges a robotics lab manager faces and how can they be addressed?

Robotics Lab Managers often encounter challenges such as coordinating diverse research projects, maintaining and upgrading complex equipment, and ensuring safety compliance in a dynamic environment. Balancing administrative duties with hands-on technical support can be demanding, especially when juggling multiple deadlines and project priorities. Proactive communication with team members, regular maintenance checklists, and clear documentation practices can help address these challenges and keep the lab running smoothly.

What are the most commonly searched types of Robotics Lab jobs in California?

The most popular types of Robotics Lab jobs in California are:

What are popular job titles related to Robotics Lab Manager jobs in California?

For Robotics Lab Manager jobs in California, the most frequently searched job titles are:

What job categories do people searching Robotics Lab Manager jobs in California look for?

The top searched job categories for Robotics Lab Manager jobs in California are:

What cities in California are hiring for Robotics Lab Manager jobs?

Cities in California with the most Robotics Lab Manager job openings:

Infographic showing various Robotics Lab Manager job openings in California as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Senior Robotics Software Engineer, 3D Mapping

FieldAI

Irvine, CA • On-site

$140K - $180K/yr

Full-time

Re-posted 25 days ago


Job description

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
What You'll Do
FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
We're looking for a Robotics Software Engineer, SLAM & 3D Mapping to design and deploy advanced robot perception and 3D mapping systems at FieldAI. Based in our Irvine office, this is a true robot-in-the-loop role where you will work hands-on with physical robots, real sensors, and real field environments.
FieldAI's Irvine team sits at the center of Southern California's robotics ecosystem, building risk-aware, reliable, and field-ready AI systems that operate outside the lab. In this role, you will develop scalable, production-grade point cloud and mapping pipelines that power customer deliverables and globally deployed robotic systems.
You will own workflows spanning data capture through documentation, integrating laser scanners, validating mapping performance in realistic environments, and continuously improving reliability through rigorous engineering.
What You Get To Do:
  • Design and develop scalable LiDAR mapping algorithms to support autonomous robot operations.
  • Improve the accuracy, robustness, and scalability of point cloud processing pipelines used in online and offline mapping systems.
  • Deploy large-scale mapping systems and data processing pipelines in production and ensure efficient and quality customer deliverables.
  • Validate mapping systems and algorithms through testing on real robots and in large-scale unstructured environments.
  • Collaborate cross-functionally to meet project-specific documentation requirements and customer expectations.
What You Have:
  • Master's degree or Ph.D. in Computer Science, Engineering, or a related field, with expertise in robotics and 3D computer vision.
  • Proficiency in C++ and Python, with a proven ability to write maintainable and efficient code in production.
  • Solid theoretical knowledge of 3D geometry, computer vision and robot kinematics.
  • Solid understanding of point cloud data structure and related algorithms (e.g., ICP, NDT).
  • Experience with LiDAR SLAM algorithms and optimization tools such as Ceres, GTSAM, or g2o.
  • Hands-on experience with tools and libraries such as PCL, Open3D, Autoware.
  • Familiarity with Robot Operating System (ROS) and software development practices in Ubuntu.
  • Familiarity with LiDAR systems and 3D data formats (e.g., PCD, PLY, E57, LAS).
  • 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:
  • Research experience with publications in top-tier robotics, computer vision, or machine vision venues
  • Familiarity with tools such as CloudCompare, Leica Cyclone, Faro Scene, or Trimble RealWorks
  • Familiarity with geospatial data, georeferencing, and coordinate systems
  • Experience with survey control, calibration workflows, or on-site measurement tools (e.g., total stations)

$140,000 - $180,000 a year
Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, 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.