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Remote Robotics Engineer Localization Jobs in Colonia, NJ

Adobe Experience Manager

Manhattan, NY · Remote

$62.80K - $79.40K/yr

NYC area. 3 days onsite, 2 days remote. Qualifications: Education: Bachelor's degree in Marketing ... and localization processes. · Inform the configuration and customization of the client's AEM ...

Power Platform Developer The role is for someone who's excited about improving workflows through ... tools incl RPA, OCR & AI/ML. 3+ years of experience with UiPath and RPA development (e.g ...

Sr. Engineer, Dot Net Developer

New York, NY · On-site +1

$52.75 - $69.75/hr

... Management, Robotic Process Automation, Storytelling, Technical Support, Unix Shell Scripting ... Type - Remote Work Shift - Day Job (United States of America) The approximate annual base ...

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Remote Robotics Engineer Localization information

See Colonia, NJ salary details

$29.5K

$107.4K

$171.9K

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

As of Jun 1, 2026, the average yearly pay for remote robotics engineer localization in Colonia, NJ is $107,406.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,900.00 and $129,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Robotics Engineer specializing in Localization, and why are they important?

To excel as a Remote Robotics Engineer in Localization, you need a solid background in robotics, computer science, and mathematics, often supported by a relevant degree and experience in localization algorithms. Proficiency with tools like ROS (Robot Operating System), SLAM (Simultaneous Localization and Mapping) frameworks, and simulation environments such as Gazebo is typically required. Strong problem-solving, communication, and self-management skills are essential for collaborating effectively across distributed teams. These competencies ensure accurate robot navigation, successful project execution, and seamless remote teamwork in this technically demanding field.

How does a Remote Robotics Engineer specializing in Localization typically collaborate with cross-functional teams to ensure accurate robot navigation?

As a Remote Robotics Engineer focused on localization, you’ll frequently collaborate with software developers, hardware engineers, and data scientists to integrate and refine localization algorithms. Communication often involves regular virtual meetings, code reviews, and collaborative troubleshooting sessions to align system updates and deployment strategies. You’ll also work closely with QA teams to validate performance in diverse environments and may contribute to documentation to facilitate seamless integration across the robotics platform. This cross-functional teamwork is essential to ensure that robots can accurately determine their position and navigate reliably in real-world scenarios.

What are Remote Robotics Engineer Localization jobs?

Remote Robotics Engineer Localization jobs involve developing and implementing algorithms and systems that enable robots to determine their position and orientation within an environment, all while working remotely. These engineers typically work on projects related to autonomous vehicles, drones, or industrial robots, focusing on technologies such as SLAM (Simultaneous Localization and Mapping), GPS, and sensor fusion. Their responsibilities can include software development, simulation, data analysis, and integration of localization solutions into robotic platforms. The remote aspect allows these professionals to collaborate with teams and deploy code from anywhere, often using virtual environments and remote access to robotic systems.

What is the difference between Remote Robotics Engineer Localization vs Remote Robotics Technician?

AspectRemote Robotics Engineer LocalizationRemote Robotics Technician
CredentialsBachelor's or higher in Robotics, Engineering, or related fields; certifications like ROS or embedded systemsTechnical diploma or associate degree; certifications in robotics or automation
Work EnvironmentDesign, development, and testing of robotic systems remotely; collaboration with engineering teamsMaintenance, troubleshooting, and installation of robotic systems remotely or on-site
Industry UsageUsed in robotics development companies, research labs, and manufacturingCommon in manufacturing plants, automation services, and technical support

Remote Robotics Engineer Localization focuses on designing and developing robotic systems remotely, requiring advanced engineering skills. In contrast, Remote Robotics Technician handles installation, maintenance, and troubleshooting, often with more hands-on tasks. Both roles are essential in the robotics industry but differ in responsibilities and required expertise.

Infographic showing various Remote Robotics Engineer Localization job openings in Colonia, NJ as of May 2026, with employment types broken down into 2% Locum Tenens, 2% Internship, 34% Full Time, 5% Part Time, 55% Contract, and 2% Nights. Highlights an 81% Physical, 16% Hybrid, and 3% Remote job distribution, with an average salary of $107,406 per year, or $51.6 per hour.
Staff Machine Learning Engineer, Prediction & Planning, System Architecture

Staff Machine Learning Engineer, Prediction & Planning, System Architecture

Waymo

Manhattan, NY • On-site, Remote

$251K - $310K/yr

Other

Posted 14 days ago


Job description

Staff Machine Learning Engineer, Prediction & Planning, System Architecture

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently.

The system architecture team handles the onboard contract of the model with the system, including kinematics, interfaces and representations. Our team's mission is to work across the stack, building the best setup for the model to drive. We tackle this through projects in data, modeling, metrics, and the overall planner system.

In this hybrid role, you will report to a Technical Lead Manager.

You will:

  • Tackle challenging real-world problems with ML and engineering solutions.
  • Use state of the art techniques to design and build ML models, deploy them in the real world on production vehicles
  • Design and build the necessary architectures, algorithms, pipelines and evaluation systems on Google's extensive data infrastructure
  • Collaborate with researchers, product area owners and engineers to develop safe, smooth planning behavior for all road users & deliver product requirements.

You have:

  • Bachelors in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience
  • Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch)
  • Proficient programming skills (eg: Python, C/C++)
  • Strong analytical and problem solving skills
  • 7+ years of experience in Machine Learning modeling and/or Autonomous Vehicles systems

We prefer:

  • MS or PhD in Computer Science, Machine Learning, Robotics, or a related field
  • Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP
  • Prior software development or ML research industry experience (including internships)
  • General software engineering experience solving motion planning or related robotics problems
  • Experience applying or evaluating ML-based systems in production environments
  • Experience with performance optimization of deep models, including with respect to specific hardware architectures

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range $251,000—$310,000 USD