Jobs 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.

Research Scientist responsible for developing large-scale force-aware foundation models for dexterous robotic manipulation. The role includes designing pre-training architectures and curricula, conducting end-to-end experiments, building data and evaluation pipelines, improving sample efficiency and robustness, and evaluating learned policies on real robots and simulations. Candidates need strong machine learning, probability, statistics, and computing expertise, with experience in predictive or generative models and frameworks such as PyTorch or JAX.

Enact invites unsolicited applications from talented individuals interested in advancing general-purpose intelligence for robotics. The company develops robotic technology spanning model architectures, data pipelines, actuators, sensors, proprioceptive systems, and whole-body force-aware control. Applicants are encouraged to describe the work they want to pursue, with roles shaped around exceptional talent rather than predefined positions.

Maintain and scale build, deployment, CI/CD, cloud, Kubernetes, Ray, and infrastructure platforms supporting robotic software and machine learning workflows. Responsibilities include managing Bazel and Nix environments, AWS infrastructure, embedded Linux, monitoring, incident response, system reliability, and collaboration with engineering teams. The role also involves optimizing production environments and supporting high-performance computing, data pipelines, and robotics software integration.

Design, implement, verify, and integrate FPGA fabric for custom robotic hardware, including real-time control, signal processing, and high-speed interfaces. Own synthesis, place-and-route, timing closure, simulation, testbenches, board bring-up, lab debugging, and production readiness. Collaborate across electronics, software, and mechanical engineering while documenting specifications, timing budgets, and verification plans.

Develop high-performance electrical systems for haptic robotic manipulation platforms, covering actuation, power delivery, sensing, control, and embedded electronics. Design schematics and PCBs, assemble and debug boards, and validate components and full systems for performance, safety, reliability, manufacturability, and cost. The role involves taking electronics from prototype through reliable product development and collaborating on electromechanical, embedded hardware, and software integration.

Develop proprioceptive motion-control algorithms and real-time runtime loops for robotic manipulation and teleoperation. Integrate model- and learning-based estimation and control from simulation through hardware, debug complex hardware-software interactions, and lead robot bring-up. Validate robot descriptions, address sim-to-real gaps, and collaborate with hardware and AI research teams to improve system performance, safety, and reliability.