Robotics Software Engineer, Perception

Posted 3 Days Ago
Wilmington, MA
In-Office
Mid level
Logistics
The Role
Seeking a Robotics Software Engineer to advance robot perception capabilities, develop software for Locus Robotics' Autonomous Mobile Robot fleet, and maintain sensor drivers.
Summary Generated by Built In

Locus Robotics is a global leader in warehouse automation, delivering unmatched flexibility and unlimited throughput, and actionable intelligence to optimize operations. Powered by LocusONE, an AI-driven platform, our advanced autonomous mobile robots seamlessly integrate into existing warehouse environments to enhance efficiency, reduce costs, and scale operations with ease. Trusted by over 150 industry leading retail, healthcare, 3PL, and industrial brands in over 350 sites worldwide, Locus enables warehouse operators to achieve rapid ROI, minimize labor costs, and continuously improve productivity. Our industry-first Robots-as-a-Service (RaaS) model ensures ongoing innovation, scalability, and cost-effectiveness without the burden of significant capital investments. With proven capabilities in diverse workflows—from picking and replenishment to sorting and pack-out—Locus Robotics empowers businesses to meet peak demands and adapt to ever-changing operational needs.

We are seeking a highly motivated individual with a passion for robotics to join the Robotic Software Team as a Robotics Software Engineer, Perception.

In this role, you will be part of the multidisciplinary team that develops the software that drives our Autonomous Mobile Robot fleet. Specifically, as part of the Perception group, you will help advance the software that allows robots to fully utilize their onboard sensor hardware and perceive their environment accurately. This is the foundation that enables robots to navigate the warehouse floor smoothly, to avoid hazards, to know exactly where they are in the building, to identify objects of interest and much more. This encompasses things like producing raw sensor streams from custom drivers, filtering data for different purposes and implementing advanced processing of that data to enable sophisticated robot behaviors.

This onsite role is based out of our Wilmington, MA office.  (hybrid).

Responsibilities

  •     Advance our robots' capability to perceive their environment for safe and effective robot operation.
  •     Write computationally efficient software that takes advantage of available perception-related algorithms.
  •     Ensure software quality through proper testing and automated CI/CD quality and regression checks.
  •     Follow clean-code best practices for software maintainability and readability.
  •     Deliver features on time and in line with our release cycle.
  •     Identify opportunities to improve the existing stack.
  •     Implement, create and/or maintain sensor drivers and filters.
  •     Evaluate new sensors of interest as they become available.

Qualifications

  •     Bachelor’s degree in Engineering, Computer Science or related field.
  •     2+ years of experience working with Autonomous Mobile Robots.
  •     C++ and Python proficiency.
  •     Familiarity with ROS (1 & 2) and its mobile robot stack.
  •     Familiarity with Robotic sensors commonly, such a lidar, depth, IMUs, stereo cameras, ToF, etc.
  •     Knowledge of Machine Learning and Computer/Robot Vision fundamentals.
  •     Familiarity with sensor libraries like PCL and OpenCV.
  •     Experience collaborating in large-scale, distributed software projects. Knowledge of Git a must.
  •     Excellent written and verbal English communication skills, with the ability to effectively engage with internal and external stakeholders at all levels of the organization.

Additional Information: 

Locus Robotics is an Equal Opportunity Employer

Top Skills

C++
Opencv
Pcl
Python
Ros
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The Company
Wilmington, MA
182 Employees
Year Founded: 2014

What We Do

We design and build innovative autonomous mobile robots that work collaboratively alongside workers in the fast paced logistics and fulfillment industries. Workers can pick 2x-3x faster with near-100% accuracy and less labor, delivering higher productivity and a better workplace.

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