Key skills

Imitation LearningVision-Language-Action Models OpenVLAVision-Language-Action Models OctoVision-Language-Action Models π0Vision-Language-Action Models GR00TONNXRobotics Simulation Isaac SimRobotics Simulation Isaac LabRobotics Simulation GazeboRobotics Simulation MuJoCoPythonRobotic ManipulationRobot ControlLearned Policy Deployment on Robot HardwareForce and Tactile SensingROS 2LIBEROMLOps DockerMLOps KubernetesMLOps CI/CD

About this role

Hivebotics is hiring a Robotics Software Engineer to build its learned manipulation capability, from collecting real-world demonstration data and fine-tuning foundation models to deploying policies on robot hardware. The role focuses on grasping and contact-rich manipulation, evaluation, and fleet deployment.

Responsibilities:

Build the teleoperation and recording pipeline that turns real deployments into training data
Fine-tune open-weight vision-language-action (VLA) base policies on our data using LoRA or equivalent methods, and build the evaluation harness to measure them
Develop grasping and contact-rich manipulation policies and controllers, and validate them on real hardware
Export policies to a portable runtime (ONNX or equivalent) and deliver them to the fleet deployment pipeline as versioned artifacts that can be rolled back
Re-run base model selection on a regular schedule so we can adopt stronger foundation models as the field moves
Document code, algorithms, experiments, and results clearly