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Remote Robotics Engineer Localization Jobs in Pennsylvania

... robotic systems, user interfaces, workflows, operational procedures, and common failure modes in order to act as a system super user. * Coordinate with remote teams, including engineering, operations ...

Manager Data Engineering

West Chester, PA · On-site +1

$108K - $130K/yr

... and robotics and digital surgery. Your unique talents will help patients on their journey to ... Remote work may also be considered in certain situations. What's in it for you? As a Data ...

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Remote Robotics Engineer Localization information

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.

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.

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 the most commonly searched types of Robotics Engineer Localization jobs in Pennsylvania? The most popular types of Robotics Engineer Localization jobs in Pennsylvania are:
What are popular job titles related to Remote Robotics Engineer Localization jobs in Pennsylvania? For Remote Robotics Engineer Localization jobs in Pennsylvania, the most frequently searched job titles are:
What cities in Pennsylvania are hiring for Remote Robotics Engineer Localization jobs? Cities in Pennsylvania with the most Remote Robotics Engineer Localization job openings:
Infographic showing various Remote Robotics Engineer Localization job openings in Pennsylvania as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution.

Senior / Staff Software Engineer, Localization

Waabi

Pittsburgh, PA • On-site, Remote

$141K - $242K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 20 days ago


Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
The Localization team at Waabi is responsible for answering one of the most critical questions in autonomous driving: exactly where is the vehicle right now? As a Senior or Staff Software Engineer on the Localization team, you will be a domain expert architecting the highly precise, robust state estimation systems that keep our robotaxis and 80,000lb trucks safely on the road. You will design algorithms that seamlessly fuse data across a complex sensor suite to provide real-time, centimeter-accurate pose estimation, even in degraded or GPS-denied environments. You will collaborate with world-renowned engineers and scientists to merge traditional robotics state estimation with Waabi's AI-first approach.
You will...
- Act as a deep domain expert in state estimation, pushing the boundaries of what is possible in real-time vehicle localization.
- Design, implement, and optimize robust algorithms for multi-sensor fusion leveraging IMU, LiDAR, Radar, Camera, GNSS, wheel encoders, etc.
- Architect and develop mathematical models to be used in factor graph optimization, Kalman filters, etc.
- Develop highly optimized, low-latency Rust code that runs directly on the vehicle's various compute devices in real-time.
- Partner with the Perception and Mapping teams to tightly couple map data and semantic landmarks into the localization pipeline.
- Build rigorous evaluation frameworks to measure localization accuracy, integrity, fault tolerance across millions of miles in Waabi World (our simulation platform) and on physical test tracks.
Qualifications:
- BS, MS, or PhD in Robotics, Computer Science, Aerospace/Electrical Engineering, or related field, with a minimum for 5 years of industry experience.
- Deep, rigorous domain expertise in probabilistic robotics, state estimation, and 3D geometry (Gaussian estimation, filtering, smoothing, and mapping).
- Proven experience building and optimizing online and/or offline Simultaneous Localization and Mapping (SLAM) systems, including deep knowledge of point-cloud registration algorithms (e.g. ICP).
- Extensive hands-on experience processing and fusing data from physical sensors (IMU, LiDAR, Radar, GNSS, etc.).
- Exceptional systems-level programming skills in modern C++ and/or Rust, with a strong understanding of memory management, concurrency, and real-time computing constraints.
- Proficiency in python for data analysis, prototyping, and tooling.
- Strong mathematical foundation in linear algebra, calculus, and probability theory.
- A proven track record of deploying complex state estimation algorithms onto physical robots or autonomous vehicles operating in the real world.
Bonus/nice to have:
- Familiarity with industry-standard optimization libraries (e.g., GTSAM, Ceres Solver, g2o).
- Experience with "learned localization" - applying deep learning and AI/ML models to improve traditional state estimation and feature matching.
- Experience with high-speed highway autonomous driving constraints.
The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
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.