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Night Shift Robotics Engineer Localization Jobs in California

Robotics Engineer

Sunnyvale, CA · On-site

$171.92/hr

We are seeking a highly specialized Robotics Engineer to join our team. This role focuses on the ... Familiar with robotic perception, including camera‑based object detection and visual localization.

Robotics engineer

Van Nuys, CA · On-site

$120K - $150K/yr

Vision insurance Schedule: * 8 hour shift * Monday to Friday * Weekends as needed Ability to ... Mechanical or Robotics engineering: 5 years (Required) Work Location: In person

Vision insurance Schedule: * 8 hour shift * Monday to Friday * Weekends as needed Ability to ... Mechanical or Robotics engineering: 5 years (Required) Work Location: In person

Robotics engineer

Los Angeles, CA · On-site

$120K - $150K/yr

Vision insurance Schedule: * 8 hour shift * Monday to Friday * Weekends as needed Ability to ... Mechanical or Robotics engineering: 5 years (Required) Work Location: In person

We are seeking a highly specialized Robotics Engineer to join our team. This role focuses on the ... Familiar with robotic perception, including camera-based object detection, and visual localization.

Robotics Engineer

Sunnyvale, CA · On-site

$60 - $85/hr

We are seeking a highly specialized Robotics Engineer to join our team. This role focuses on the ... Familiar with robotic perception, including camera-based object detection, and visual localization.

We are seeking a highly specialized Robotics Engineer to join our team. This role focuses on the ... Familiar with robotic perception, including camera-based object detection, and visual localization.

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Night Shift Robotics Engineer Localization information

What does a night shift robotics engineer localization do?

A Night Shift Robotics Engineer specializing in Localization is responsible for ensuring that robots can accurately determine their position and orientation within a given environment during overnight hours. This involves working with sensors, mapping algorithms, and navigation systems to help robots move and operate autonomously. Night shifts are often required in facilities that operate 24/7, such as warehouses, manufacturing plants, or research labs. The role also includes monitoring robotic systems, troubleshooting localization issues, and performing maintenance or updates as needed during off-peak hours.

What are some common challenges faced by night shift robotics engineer localization professionals, and how are they typically addressed?

Night Shift Robotics Engineer Localization professionals often encounter challenges such as troubleshooting localization errors in real-time with limited support staff available, maintaining high system uptime during off-peak hours, and ensuring seamless handovers with the day team. To address these, clear documentation practices, robust remote support protocols, and regular communication with cross-functional teams are essential. Additionally, night shift engineers often develop strong problem-solving skills and autonomy, which are highly valued for career advancement within robotics and automation fields.

What are the key skills and qualifications needed to thrive as a night shift robotics engineer localization, and why are they important?

A Night Shift Robotics Engineer in Localization requires strong proficiency in robotics systems, localization algorithms (such as SLAM), and a relevant engineering degree or equivalent experience. Familiarity with tools like ROS (Robot Operating System), sensor fusion frameworks, and programming languages like Python or C++ is commonly expected. Excellent problem-solving skills, attention to detail, and the ability to work independently during off-hours are crucial soft skills for this role. These competencies ensure reliable robot operation, effective troubleshooting, and smooth system performance during night shifts when immediate team support may be limited.

What is the difference between Night Shift Robotics Engineer Localization vs Night Shift Robotics Engineer Perception?

AspectNight Shift Robotics Engineer LocalizationNight Shift Robotics Engineer Perception
Required CredentialsBachelor's in Robotics, Electrical, or Mechanical Engineering; experience with localization algorithmsBachelor's in Robotics, Computer Vision, or related field; experience with perception systems
Work EnvironmentRobotics labs, manufacturing plants, or warehouse settings during night shiftsSimilar environments focusing on sensor data processing and object detection at night
Employer & Industry UsageAutonomous vehicle companies, logistics, and warehouse automationAutonomous vehicles, robotics research, and industrial automation

While both roles involve working with robotics during night shifts, Localization engineers focus on determining the robot's position within an environment, whereas Perception engineers work on interpreting sensor data to identify objects and surroundings. Both roles require similar technical backgrounds but differ in their core focus areas within robotics systems.

What cities in California are hiring for Night Shift Robotics Engineer Localization jobs?

Cities in California with the most Night Shift Robotics Engineer Localization job openings:

Infographic showing various Night Shift Robotics Engineer Localization job openings in California as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Robotics Mapping & Localization Engineer (SLAM + LiDAR)

Medium

Irvine, CA • On-site

$140K - $180K/yr

Other

Posted 3 days ago

New


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 Mapping & Localization
  • Improve ICP/GICP/NDT registration workflows
  • Support SLAM and localization pipelines across mapping systems
  • Improve scan stitching accuracy and mapping robustness
  • Optimize point cloud registration and alignment workflows
  • Improve localization performance across large‑scale operational environments
Point Cloud Processing & Optimization
  • Improve point cloud processing performance and scalability
  • Support geometric optimization and scan matching workflows
  • Debug and improve existing mapping and localization systems
  • Contribute to mapping quality and operational reliability improvements
Cross‑Functional Collaboration
  • Partner closely with mapping, robotics, and deployment teams
  • Support downstream processing and operational deployment workflows
  • Help improve deployment readiness and mapping scalability
  • Contribute to debugging and operational problem‑solving across mapping systems
What You Bring
  • Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field
  • 3–5 years of industry or applied robotics experience
  • Strong experience with SLAM and localization systems
  • Experience with ICP/GICP/NDT registration techniques
  • Strong understanding of point cloud registration and scan matching
  • Strong modern C++ engineering skills
  • Experience working within production robotics or mapping environments
  • Strong debugging and systems‑thinking capability
  • Ability to operate effectively in fast‑moving startup environments
  • Ownership mentality with strong execution and problem‑solving instincts
What Sets You Apart
  • Experience with LiDAR‑based mapping systems
  • Experience with robotics middleware
  • Background in robotics, autonomy, industrial scanning, or localization systems
  • Familiarity with PCL (Point Cloud Library)
  • Experience balancing research ideas with production engineering realities
  • Strong operational and deployment‑oriented mindset

$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 statu

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