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Agility Robotics Tech Stack
Industrial humanoid robots with integrated hardware, firmware, and AI systems
Agility Robotics builds hardware and software for industrial humanoid robots, running a stack that spans simulation (Isaac Sim, Gazebo), ML training (PyTorch, TensorFlow, MLflow), and infrastructure (Kubernetes, AWS, GCP). The hiring mix is heavily weighted toward senior and staff engineers (28 senior, 12 staff across 56 open roles) — indicating a transition from research to scaled production. Active projects focus on hardware abstraction layers, next-generation robot design, and data flywheel infrastructure, while pain points cluster around subsystem integration complexity and field operational efficiency.
Tech Stack 71 technologies
Core StackPython C++ Jira PyTorch Apache Spark Apache Airflow AWS Java Terraform NetSuite SAP Oracle TensorFlow MLflow Weights & Biases Kubernetes GitHub Okta Isaac Sim Gazebo Git Mujoco Scrum Avro Parquet Windchill GCP Google Workspace macOS Ubuntu+41 more
What Agility Robotics Is Building
◆Challenges
- Risk mitigation
- Scalable integration of complex subsystems
- Accelerating product development
- Aligning hr initiatives with business plans
- Identifying process and system enhancements
- Structured scalable development processes
- Operational inefficiencies in field performance
- Performance barriers
- Resource gaps
- Fleet management challenges
▲Active Projects
- Hardware abstraction layer drivers
- Next generation digit design
- Talent technology roadmap
- Humanoid robot platform integration
- Communication layer using ethercat and can
- Data flywheel strategy
- C++ firmware architecture for sensor network
- Training program development
- Robust test infrastructure development
- Preventative and predictive maintenance schedules
Hiring Activity
55 roles · 25 in 30d
Department
Seniority
Notable leadership hires: Director Operations, AI Director
Company intelligence
