Dexterity, Inc. Tech Stack

Physical AI for autonomous warehouse robots handling pick, pack, and sort tasks

Software Development Redwood City, California 201–500 employees Founded 2017 Privately Held

Dexterity builds full-stack robot control software for warehouse and logistics automation, running deep learning (PyTorch, TensorFlow) and physics-based modeling on C++ and Python cores deployed across AWS/GCP/Azure. The engineering-heavy hiring mix—18 engineers concentrated at senior/mid levels with focus on packing algorithms, sensor fusion, and low-latency inference—reflects active work on production deployment challenges: the company is scaling ML pipelines while managing field reliability and supply-chain resilience across live warehouse environments.

Tech Stack 19 technologies

Core StackC++ Python Docker Kubernetes AWS PyTorch TensorFlow Solidworks Linux Redis gRPC GCP Azure NX Teamcenter C/C++ Structured Text HTTP Git

What Dexterity, Inc. Is Building

◆Challenges

Resilient supply chains
Smart warehouse automation
Warranty action management
Field deployment challenges
Maintaining up-to-date security guidelines
Packing algorithms for denser structures
Logistics task of moving inventory
Low latency inference
Scaling ml pipelines
Improving development speed

▲Active Projects

New product introduction
Improving packing algorithms to build taller, denser, more stable structures
Lifecycle stewardship
Reliable operations
Solving the logistics task of moving and sorting inventory throughout a warehouse
Building models that understand physics and geometry for both short- and long-horizon tasks
Software security for robotics product lines
Real robotic systems deployed in live environments
Sensor fusion and state estimation
Training data collection

Hiring Activity

Decelerating25 roles · 5 in 30d

Department

Engineering

Support

Manufacturing

Logistics

Security

Seniority

Senior

Mid

Junior

Lead

Manager

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About Dexterity, Inc.

Dexterity develops full-stack dexterity solutions for robotic systems in logistics and warehousing. The product stack spans real-time perception (sensor fusion, state estimation), physics-aware ML models for manipulation planning, and production-grade control software deployed in live customer environments. Core projects include improving packing density algorithms, training data collection at scale, and lifecycle stewardship of deployed systems. The team operates across United States and Canada, with hiring velocity decelerating—a pattern typical of companies moving from R&D toward operational maturity.

HeadquartersRedwood City, California

Company Size201–500 employees

Founded2017

Hiring MarketsUnited States, Canada

Frequently Asked Questions

What is Dexterity's tech stack?

C++, Python, PyTorch, TensorFlow for ML; Kubernetes, Docker for infrastructure; AWS, GCP, Azure for cloud; Solidworks and NX for CAD; Redis and gRPC for real-time communication.

What are Dexterity's main challenges?

Field deployment reliability, low-latency inference at scale, packing algorithm optimization for denser structures, scaling ML pipelines, and maintaining security guidelines for production robotics systems.