Senior Perception Software Engineer

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.

• 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.
• Develop advanced obstacle mapping for collision avoidance that thrives in messy environments.
• Implement and optimize point cloud processing algorithms tailored for real-time edge compute.
• 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.
• 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.
• 5+ years of experience in robotics software engineering (or an MS with 3+ years of highly relevant industry experience).
• Exceptional software engineering fundamentals, highly proficient in Python and C++ for production systems.
• Strong mathematical foundation in linear algebra, geometry, and probabilistic robotics.
• Hands-on experience building perception stacks using industry-standard tools and frameworks, including ROS/ROS2, OpenCV, Open3D, Eigen, and Git.
• Hands-on experience with sensor stacks including 3D LiDARs, IMUs, and cameras.
• 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.