About this role:
Pickle is on the hunt for a dynamic and driven Senior Perception Software Engineer to revolutionize the future of warehouse automation. This role will focus on working heavily with 3D LiDAR and other multi-sensor arrays to tackle complex challenges in state estimation, scene perception, mapping, and localization. You will play a crucial part in writing robust, production-grade software that translates raw sensor data into actionable intelligence for our robots operating in dynamic, real-world unloading docks.
What You’ll Accomplish:
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Drive the accuracy and precision of our localization and state estimation pipelines. You will ensure reliable pose estimation of the robot's mobile base and scene components.
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Develop advanced obstacle mapping for collision avoidance that thrives in messy environments.
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Implement and optimize point cloud processing algorithms tailored for real-time edge compute.
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Architect a robust software stack that efficiently parses and interfaces with the outputs of our machine learning models, integrating novel perception pipelines seamlessly into the core production codebase.
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Improve and automate multi-sensor calibration routines. You will manage tolerance stacks and ensure high-fidelity spatial alignment across our sensor suites to guarantee a single source of truth for the robot.
Who You Are:
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5+ years of experience in robotics software engineering (or an MS with 3+ years of highly relevant industry experience).
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Exceptional software engineering fundamentals, highly proficient in Python and C++ for production systems.
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Strong mathematical foundation in linear algebra, geometry, and probabilistic robotics.
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Hands-on experience building perception stacks using industry-standard tools and frameworks, including ROS/ROS2, OpenCV, Open3D, Eigen, and Git.
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Hands-on experience with sensor stacks including 3D LiDARs, IMUs, and cameras.
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You are a "full-stack" robotics engineer who cares about accuracy, precision, and edge cases in the physical world and can articulate architectural trade-offs to drive the best system level decisions.
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Experience with optimization libraries (Ceres Solver, GTSAM), parallel computing (CUDA), Docker, and PCL preferred.
- Willing and able to work from our HQ in Charlestown, MA, at least 3 days a week.