echoloc

Pickle Robot Company Tech Stack

Autonomous robots for truck and container unloading

Automation Machinery Manufacturing Boston, Massachusetts 51–200 employees Founded 2018 Privately Held

Pickle Robot builds physical AI systems that autonomously unload trucks, trailers, and containers at human-scale throughput. The stack reveals a production robotics operation: ROS 2, NVIDIA hardware (Orin, Jetson), PyTorch, and computer vision (YOLO, Mask R-CNN) for perception; motion planning and edge inference dominate the active project list. Engineering-heavy hiring (13 of 16 open roles) skews senior, with motion planning and software architecture bottlenecks surfacing as the company scales from single-robot deployments to fleet operations.

Tech Stack 75 technologies

Core StackC++ Python PyTorch Docker AWS Rust Go Java Kafka Jira NetSuite ROS Gazebo Isaac Sim TensorRT ONNX Runtime CUDA GCP YOLO Mask R-CNN Transformers NVIDIA Orin Altium KiCAD ssh NVIDIA Jetson ROS 2 Onshape Tulip OpenCV+43 more

What Pickle Robot Company Is Building

Challenges

  • Manual labor challenges in truck unloading
  • Scaling robotics motion software
  • Ambiguous fast-moving business environment
  • Speed and safety of autonomous robots
  • Scalable software systems for multiple robots
  • Data bottlenecks
  • Edge case resolution
  • Preventing field issues during peak operations
  • Identifying gaps in tooling workflows
  • Closing gap between research and reality

Active Projects

  • Scalable software architecture for multi-robot deployment
  • Motion planning software for warehouse automation
  • Operator-facing applications
  • Navigation and mobility controls algorithms for autonomous mobile robots
  • Vision model deployment
  • Edge inference optimization
  • Data strategy improvement
  • Electrical system design for robotic unloaders
  • Motion-planning algorithm development for autonomous robotic manipulators
  • Remote monitoring & support

Hiring Activity

Accelerating15 roles · 10 in 30d

Department

Engineering
13
Finance
1
Ops
1
Product
1

Seniority

Senior
7
Manager
3
Mid
3
Junior
1
Principal
1
Staff
1
Company intelligence

Find more companies like Pickle Robot Company by tech stack, pain points and active projects

Get started free

About Pickle Robot Company

Pickle Robot designs and deploys autonomous unloading systems for logistics and supply chain operations. Founded in 2018 and based in Boston, the company operates as a hardware-software integration business: robots equipped with computer vision, advanced sensors, and manipulator arms handle the physical task of removing cargo from vehicles, while human operators focus on exception handling and problem-solving. Revenue comes from customers in the trucking, import, and warehouse sectors seeking to automate high-labor manual unloading tasks. The company runs 51–200 employees, hiring exclusively in the United States.

HeadquartersBoston, Massachusetts
Company Size51–200 employees
Founded2018
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Pickle Robot use?

Core: ROS 2, C++, Python, PyTorch. Perception: YOLO, Mask R-CNN, OpenCV. Hardware: NVIDIA Orin, Jetson, sensors. Cloud/edge: AWS, GCP, Docker, TensorRT, ONNX Runtime. Tooling: Jira, Altium, KiCAD, Onshape, Tulip, NetSuite.

What is Pickle Robot working on?

Scalable multi-robot software architecture, motion planning for warehouse automation, autonomous navigation and mobility controls, vision model deployment and edge inference, manipulator arm algorithms, electrical system design, and operator-facing applications.

Similar Companies in Automation Machinery Manufacturing

Other companies in the same industry, closest in size

How this profile is built

Pickle Robot Company's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.