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Map Localization Jobs in Massachusetts (NOW HIRING)

Motional

Senior Engineer

Boston, MA · On-site

$113K - $155K/yr

Work with mapping team to establish API for localization-mapping interaction. * Provide technical leadership in code quality and design. * Collaborate with perception, motion planning, and controls ...

Motional

Senior Engineer

Boston, MA · On-site +1

$190K - $244K/yr

Work with mapping team to establish API for localization-mapping interaction. * Provide technical leadership in code quality and design. * Collaborate with perception, motion planning, and controls ...

Motional

Senior Engineer

Boston, MA · Remote

$190K - $244K/yr

Work with mapping team to establish API for localization-mapping interaction. * Provide technical leadership in code quality and design. * Collaborate with perception, motion planning, and controls ...

Hyphen Connect Limited

SLAM Architect (Robotics)

Boston, MA

$60 - $82.25/hr

Develop robust Visual-Inertial SLAM (Simultaneous Localization and Mapping) pipelines. * Implement dynamic obstacle avoidance and predictive path planning. * Optimize algorithms for low-compute edge ...

Advanced Robotics Group, LLC

Be Seen First

Autonomous Robotics Software Engineer

Boston, MA · On-site

... for localization, mapping, path planning, and navigation · Integrate perception, sensing, and control systems into cohesive solutions · Design and execute simulation and real-world testing to ...

Advanced Robotics Group, LLC

Be Seen First

Autonomous Robotics Software Engineer

Boston, MA · On-site

... for localization, mapping, path planning, and navigation · Integrate perception, sensing, and control systems into cohesive solutions · Design and execute simulation and real-world testing to ...

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All JobsMap Localization JobsMap Localization Jobs in Massachusetts

Map Localization information

What is the difference between Map Localization vs GIS Technician?

AspectMap LocalizationGIS Technician
Required CredentialsGPS, GIS, or mapping software certificationsGIS certifications, degree in geography or related field
Work EnvironmentFieldwork, outdoor mapping, mobile devicesOffice-based, desktop GIS software
Employer & Industry UsageNavigation apps, autonomous vehicles, outdoor mappingUrban planning, environmental management, utilities
Search & Comparison IntentUnderstanding field mapping rolesTechnical GIS data management

Map Localization focuses on real-time positioning and navigation, often in outdoor or mobile environments, using GPS and mapping tools. GIS Technicians handle spatial data analysis, map creation, and GIS software management primarily in office settings. While both roles involve geographic data, Map Localization emphasizes field-based positioning, whereas GIS Technicians focus on data processing and map development.

What is map localization?

Map localization is the process of determining a device's or vehicle’s precise position within a known map or environment. It is a crucial component in robotics, autonomous vehicles, and navigation systems, allowing them to understand their location relative to their surroundings. Accurate map localization enables systems to navigate safely, avoid obstacles, and perform tasks efficiently. This process often uses sensors like GPS, LiDAR, cameras, and algorithms such as SLAM (Simultaneous Localization and Mapping).

What are some common challenges faced by professionals working in map localization roles?

Professionals in map localization often encounter challenges such as managing the accuracy of real-time data from multiple sources and ensuring that maps remain up-to-date with constantly changing environments. Additionally, working with large volumes of geospatial data requires strong analytical and technical skills, especially when integrating information from LiDAR, GPS, and camera systems. Collaboration with cross-functional teams, such as software developers and robotics engineers, is essential to solve localization issues and to deliver reliable navigation solutions. Staying current with advances in localization algorithms and mapping technologies is also important for ongoing success in this field.

What are the key skills and qualifications needed to thrive as a Map Localization Engineer, and why are they important?

To thrive as a Map Localization Engineer, you need a strong background in robotics, computer vision, and algorithms, often supported by a degree in computer science, electrical engineering, or a related field. Proficiency with tools and frameworks such as ROS (Robot Operating System), SLAM (Simultaneous Localization and Mapping), and programming languages like C++ and Python is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating on complex projects and debugging localization systems. These skills are crucial for developing accurate and reliable localization solutions that enable autonomous navigation and mapping in real-world environments.
What are popular job titles related to Map Localization jobs in Massachusetts? For Map Localization jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Map Localization jobs in Massachusetts look for? The top searched job categories for Map Localization jobs in Massachusetts are:
What cities in Massachusetts are hiring for Map Localization jobs? Cities in Massachusetts with the most Map Localization job openings:
Map Localization jobs near you

Senior Member of Technical Staff: Navigation, Localization & Structured Perception

Walden Robotics

Cambridge, MA • On-site

$180K - $240K/yr

Full-time

Retirement, PTO

Posted 18 days ago

Job description

Position Summary:
You will own how our humanoid robots know where they are and move safely through the world. You'll build the navigation, localization, and mapping stack that lets a robot traverse a real industrial facility reliably-estimating its pose, understanding the structure of its environment, and planning safe paths through dynamic, cluttered spaces. This role blends classical, geometric methods with learned approaches, and you'll collaborate closely with the AI team to combine the best of both. Your work turns raw data from cameras, depth sensors, and LiDAR into a robot that can confidently get where it needs to go.
Core Responsibilities:
  • Localization & Mapping: Design and implement the localization and mapping stack-state estimation, SLAM, and sensor fusion-that keeps the robot accurately located in real environments.
  • Navigation & Planning: Build path and motion planning for a mobile base moving through dynamic, cluttered, human-occupied industrial spaces, with safety and reliability as first-class concerns.
  • Structured Perception: Develop perception that exploits the known structure of deployment environments-maps, fixtures, landmarks, and layout-to improve robustness and precision.
  • Sensor Fusion: Fuse data across cameras, depth sensors, LiDAR, IMUs, and odometry into consistent, reliable estimates of pose and surroundings.
  • Classical + Learned Methods: Combine geometric and model-based techniques with learned components, partnering with the AI team to integrate learned perception where it adds value.
  • Robustness & Field Performance: Characterize and improve navigation and localization performance in the real world, debugging failures on deployed robots and hardening the stack against edge cases.
  • Cross-Functional Collaboration: Work with the AI, controls, and hardware teams to define interfaces, calibrate sensors, and integrate navigation into the broader robot system.

Required Qualifications:
  • Navigation & Localization Expertise: Proven experience building localization, SLAM, or navigation systems for mobile robots deployed in the real world.
  • State Estimation & Sensor Fusion: Strong grasp of probabilistic state estimation, filtering, optimization, and multi-sensor fusion.
  • Robotics Software: Strong C++ and Python skills, with experience writing performant, reliable software for real robots.
  • Geometry & Math: Deep working knowledge of 3D geometry, coordinate frames, transforms, and the math underlying SLAM and estimation.
  • Multi-Sensor Experience: Hands-on experience with cameras, depth sensors, and LiDAR, including calibration and the practical realities of each.
  • Motion Planning: Experience with path and motion planning for mobile platforms.
  • Ownership: Track record of taking perception/navigation systems from design through deployment and field validation.

Preferred Qualifications:
  • Experience combining classical methods with learned perception, and collaborating with ML teams.
  • Familiarity with humanoid, legged, or other high-DOF mobile platforms.
  • Experience with factory, warehouse, or other structured industrial environments.
  • Background in sensor calibration (intrinsics/extrinsics, multi-sensor alignment, temporal sync).
  • Exposure to real-time and safety-conscious system design.

Walden Robotics offers a competitive total compensation program, including salary, annual cash bonus, company equity, company-subsidized insurance programs, 401(k) with company match, flexible PTO, daily lunch, and other benefits. The pay ranges noted on our posts are for salary only.
Walden Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to hello@waldenrobotics.com.
Walden Robotics participates in E-Verify. If you receive an offer of employment from Walden, you will need to go through the E-Verify process of digital verification of your employment authorization documents as provided on the Form I-9. Participation in E-Verify does not limit your right to work and verification will only be completed after you become
At Walden Robotics, we envision a world where general-purpose robots dramatically improve the quality of life for all people-supporting us at home, at work, in factories, on farms, and beyond. To accomplish this, we are building a team of exceptional professionals who combine world-class technical skills with creative vision, grounded in humility and collaboration.
The pay range for this role is:
180,224 - 240,299 USD per year (BOS)

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