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Night Shift Robotics Engineer Localization Jobs in Riverside, CA

FieldAI

Robotics System Engineer

Irvine, CA

Strong understanding of autonomy systems including perception, localization, planning, controls ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

FieldAI

Robotics System Engineer

Irvine, CA · On-site

$170K - $190K/yr

Strong understanding of autonomy systems including perception, localization, planning, controls ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

FieldAI

Robotics System Engineer

Irvine, CA

$170K - $190K/yr

Strong understanding of autonomy systems including perception, localization, planning, controls ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

Anduril Industries

Software Engineer, Robotics

Irvine, CA · On-site

$166K - $282K/yr

ABOUT THE ROLE We're looking for a Staff Software Engineer specializing in Robotics to join our ... Experience in one or more of the following: motion planning, perception, localization, mapping ...

FieldAI

Software Engineer, ROS Developer

Irvine, CA · On-site +1

$70K - $300K/yr

As a ROS Developer , you will play a critical role in developing advanced robotic applications ... into complex robotic systems. * Solid understanding of localization, SLAM, sensor fusion, and ...

FieldAI

Software Engineer, ROS Developer

Irvine, CA · On-site

$70K - $300K/yr

As a ROS Developer , you will play a critical role in developing advanced robotic applications ... into complex robotic systems. * Solid understanding of localization, SLAM, sensor fusion, and ...

FieldAI

Software Engineer, ROS Developer

Irvine, CA · On-site +1

$70K - $300K/yr

As a ROS Developer , you will play a critical role in developing advanced robotic applications ... into complex robotic systems. * Solid understanding of localization, SLAM, sensor fusion, and ...

FieldAI

Senior Software Engineer, Mapping Platform

Irvine, CA · On-site

$131.50K - $173.40K/yr

You will work closely with robotics engineers, mapping and localization specialists, and cross-functional deployment teams to evolve complex software systems into scalable, production-ready platforms ...

FieldAI

Robotics QA / QC Engineer

Irvine, CA · On-site

$30 - $45/hr

We are looking for a Robotics QA/QC Engineer to own hands-on validation and testing of robotic ... Our Field Foundational Models™ raise the bar for perception, planning, localization, and ...

FieldAI

Robotics QA / QC Engineer

Irvine, CA

$30 - $45/hr

We are looking for a Robotics QA/QC Engineer to own hands-on validation and testing of robotic ... Our Field Foundational Models raise the bar for perception, planning, localization, and ...

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All JobsNight Shift Robotics Engineer Localization JobsNight Shift Robotics Engineer Localization Jobs in Riverside, CA

Night Shift Robotics Engineer Localization information

See Riverside, CA salary details

$30.3K

$110.2K

$176.3K

How much do night shift robotics engineer localization jobs pay per year?

As of May 31, 2026, the average yearly pay for night shift robotics engineer localization in Riverside, CA is $110,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,100.00 and $132,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Night Shift Robotics Engineer specializing in 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 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 does a Night Shift Robotics Engineer specializing in 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 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 are popular job titles related to Night Shift Robotics Engineer Localization jobs in Riverside, CA? For Night Shift Robotics Engineer Localization jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Night Shift Robotics Engineer Localization jobs in Riverside, CA look for? The top searched job categories for Night Shift Robotics Engineer Localization jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Night Shift Robotics Engineer Localization jobs? Cities near Riverside, CA with the most Night Shift Robotics Engineer Localization job openings:
Night Shift Robotics Engineer Localization jobs near you

Robotics Autonomy Engineer-Planning and Control (Federal)

FieldAI

Irvine, CA • On-site, Remote

$70K - $300K/yr

Full-time

Posted 21 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

Field AI is building the future of autonomy, from rugged terrain to real-world deployment. We are on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. 

As our Robotics Autonomy Engineer - Planning and Control, you will design, implement, and deploy advanced motion planning and control algorithms that enable our robots to move with precision, robustness, and efficiency across diverse environments. You will work on navigation, trajectory generation, and motion control for robotic platforms ranging from wheeled and legged systems to complex humanoid architectures. If enabling robots to navigate challenging, dynamic environments excites you, and you want to work where your code works in the physical world - this is your role. This is Field AI.

What You'll Get To Do

1. Develop Robust Motion Planning Algorithms

  • Design, develop, and refine motion and navigation planning algorithms for challenging real-world scenarios such as narrow passages, dynamic obstacles, and complex environments.

  • Design optimization-driven approaches for path and trajectory generation that ensure smooth, reliable, and efficient robot navigation across modalities.

  • Ensure scalability, reusability, and adaptability of planning approaches across diverse deployment contexts.

2. Advance Control and Planning Integration

  • Develop and tune control algorithms that ensure precise trajectory tracking and stable operation across different robotic systems.

  • Collaborate across autonomy layers to ensure seamless coordination between perception, planning, and control for robust real-world performance.

3. Validate and Test Across the Stack

  • Build and maintain testing pipelines from unit-level validation to full robot deployment.

  • Utilize simulation and testing environments for algorithm evaluation, benchmarking, and regression validation.

  • Analyze real-world telemetry to diagnose issues, identify improvements, and enhance algorithm robustness.

4. Diagnose and Improve Field Performance

  • Investigate and resolve issues arising from field deployments through structured data analysis and debugging.

  • Deliver targeted improvements that address specific challenges while maintaining general-case reliability and performance.

What You Have

  • Master's degree or higher in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field (PhD a plus).

  • Strong understanding of motion planning, trajectory generation, and control systems.

  • Experience developing algorithms for one or more robotic systems (wheeled, legged, wheeled-legged, humanoid).

  • Familiarity with motion planning libraries like OMPL, MoveIt, Nav2 stack etc

  • Solid programming skills in C++ and Python on Linux-based systems.

  • Familiarity with robotics middleware such as ROS/ROS 2.

  • Experience with robot sensors including LiDARs, stereo/depth cameras, IMUs, GPS, wheel encoders.

  • Ability to work on US government project

The Extras That Set You Apart

  • Exposure to real-world deployment of autonomous systems.

  • Background in optimization, control, or numerical methods for trajectory planning.

  • Familiarity with learning-based or hybrid planning approaches.

  • Contributions to open-source planning or control frameworks.

  • Familiarity with safety-critical autonomy and industrial robotics use cases.

$70,000 - $300,000 a year
This position is for our FieldAI Federal Team.  This team works on projects connected to the U.S. government which requires U.S. Person eligibility.  A U.S. Person as defined by 22 C.F.R  120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee. 
 
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. 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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