Senior Perception Software Engineer
Senior Perception Software Engineer building 3D LiDAR and multi-sensor perception pipelines (localization, mapping, obstacle detection) for warehouse unloading robots, using Python, C++, ROS/ROS2, and point cloud processing.
- Compensation
- $145.8K–$157.2K / yr
- Location
- Charlestown, MA
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Full time
- Experience
- 3+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 5+ years of experience in robotics software engineering (or MS with 3+ years)
- Highly proficient in Python and C++ for production systems
- Strong mathematical foundation in linear algebra, geometry, and probabilistic robotics
- Hands-on experience with ROS/ROS2, OpenCV, Open3D, Eigen, and Git
- Hands-on experience with 3D LiDARs, IMUs, and cameras
- On-site at HQ in Charlestown, MA
Nice to have
- Experience with Ceres Solver, GTSAM, CUDA, Docker, or PCL
Full description
About Us
At Pickle Robot, we're on a mission to automate global supply chains with Physical AI. Our robots work alongside warehouse teams to unload trucks and containers — one of the toughest, most understaffed jobs in logistics — making the work safer, faster, and more efficient for the people doing it. Loading trucks comes next, followed by the Dill Autonomy Engine: generalized autonomy that will eventually orchestrate robots across entire logistics processes.
We're looking for a dynamic, driven Senior Perception Software Engineer to help revolutionize the future of warehouse automation. This role will focus heavily on working 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 Do
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Drive the accuracy and precision of our localization and state estimation pipelines. 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, guaranteeing a single source of truth for the robot.
What You'll Bring
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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.