Senior Localization Engineer

Onward Robotics

Lawrenceville (Tioga County)

On-site

USD 120,000 - 180,000

Full time

12 days ago
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Job summary

Onward Robotics is seeking a Senior Localization Engineer to join our Robot Software Department. You will lead localization, SLAM, mapping, and state estimation efforts across multi-sensor platforms to deliver robust navigation in dynamic environments.

You will design, test, and integrate localization solutions, fuse data from LiDAR, cameras, and IMUs, and drive best practices in software development including reviews, testing, and documentation.

Qualifications

Responsibilities

  • Algorithm Design: Design, develop, and implement robust localization, mapping, and state estimation algorithms for robotic systems.
  • Testing, Specification, and Integration: Lead tests, specify requirements, and integrate localization solutions into robotics platforms with cross-functional teams.
  • Data Fusion and Scene Analysis Pipelines: Work with sensor data from LiDAR, cameras, and IMUs to build environmental models for navigation.
  • Adhere to software development best practices: peer reviews, testing, version control, bug tracking, and documentation.

Tools

LiDAR
Cameras
IMUs
SLAM
Sensor fusion

Job description

Join Our Team At Onward Robotics, we are a bold, gritty, and purposeful team with an ambitious mission to revolutionize fulfillment. Our team is driven by a client-first mentality: we aim to solve hard problems and fuel our clients’ growth with innovation. We are seeking talented individuals who will have a huge impact on both our business and our team. Join us on our mission as we move fast, think big, and have fun!

About Us

Onward Robotics delivers innovative automation technology that coordinates humans and robots as a cohesive system to revolutionize fulfillment. Our Meet Me solution combines proprietary software with person-to-goods mobile robots to increase efficiency in warehousing, distribution, and e-commerce operations. Onward Robotics provides the boost in productivity, flexibility, and speed that companies need to remain competitive and grow. Learn more at onwardrobotics.com.

Job Purpose

As a Senior Localization Engineer in our Robot Software Department, you will work on algorithms and systems used for mapping and localization. An ideal candidate has experience resolving difficult problems encountered in localization applications which can cause uncertainty and mis-localization. As a core team member, you will be responsible for taking the lead on assigned sub-systems, algorithms, and tasks following them from requirements generation through testing and field deployment.

Duties and Responsibilities:
  • Algorithm Design: Design, develop, and implement robust and reliable algorithms for robotic systems, with a strong focus on localization, mapping, and state estimation. This includes exploring novel approaches and optimizing existing ones for performance and accuracy in diverse environments.
  • Testing, Specification, and Integration: Lead the comprehensive testing, detailed specification, and seamless integration of localization solutions into our robotics platforms. This involves defining test plans, analyzing results, and collaborating closely with hardware and software teams to ensure optimal system performance.
  • Data Fusion and Scene Analysis Pipelines: Work extensively with complex data fusion and scene analysis pipelines, integrating sensor data from various modalities (e.g., LiDAR, cameras, IMUs) to build comprehensive environmental models and enhance robotic perception and navigation capabilities.
  • Adhere to software development best practices: peer reviews, testing, version control, bug tracking, and integrated documentation.
Core Competencies:
  • Ability to be flexible and adaptable in a startup environment
  • Good team player with great communication skills
Typical Day:
  • Participate in daily stand-ups to align on priorities, blockers, and progress with the team.
  • Design and code localization algorithms, refining SLAM pipelines, improving state estimation, and optimizing multi-sensor fusion for accuracy and reliability.
  • Collaborate
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