Teams at Enact Intelligence

Develop large-scale pretraining methods for force-aware robotic foundation models. Design architectures, objectives, curricula, datamixes, and evaluation sets; run experiments from data specification through real-robot testing; investigate scaling laws, sample efficiency, robustness, and sim-to-real generalization. The role involves building predictive or generative models with PyTorch or JAX and optimizing distributed, multi-GPU training systems for dexterous robotic manipulation.

Develop and industrialize robotic actuator motors from prototype through manufacturing. Design test rigs, characterize motor performance, conduct quality and reliability testing, perform root-cause analysis, improve production processes, collect and report data, and define acceptance criteria and KPIs. The role requires hands-on CAD and test hardware development, calibration expertise, and collaboration across robotics, design, and production teams.

Deploys robotic systems from laboratory environments to customer sites. Responsibilities include end-to-end hardware and software integration, interfacing with customer systems, leading field testing, debugging complex failures, collecting real-world data, and collaborating with hardware, AI, research, and customer teams to improve the product.