Humanoid AI & Manipulation Software Engineer
HIVE Robots
HIVE is a team of 10 passionate engineers building state-of-the-art software that enables humanoid robots to join the workforce. We are the strongest concentration of humanoid-robot developers in Scandinavia outside academia, combining deep expertise in robot software, perception, manipulation, MLOps and production engineering. We work with customers such as Grundfos and build industrial and retail applications that run on real robots in customer sites.
Role Overview
- Develop and integrate perception → action pipelines (vision models, VLA, grasping and manipulation) and productionise them onto robot platforms
- Training and fine-tuning deep learning models
- Design, run and iterate imitation-learning and simulation training workflows to produce robust policies and manage sim→real transfer
- Develop and integrate perception → action pipelines (vision models, VLA, grasping and manipulation) and productionise them onto robot platforms
- Training and fine-tuning deep learning models
- Design, run and iterate imitation-learning and simulation training workflows to produce robust policies and manage sim→real transfer
- Work on on-robot systems (Ubuntu / NVIDIA Jetson), battery/teleoperation flows and debugging sensors, actuators and hardware integration
- Maintain CI/CD and reproducible deployment pipelines for models and robot software (Docker, GitHub Actions / GitLab CI or equivalent)
- Produce clear technical documentation and runbooks (documentation-as-code mindset) and collaborate with customer teams during on-site installations and handovers
- Fluent in English with excellent verbal and written communication
- Comfortable working in Scrum sprints and delivering in short cycles
- Strong hands-on experience with ROS / ROS2 development and integration
- Practical experience with Linux / on-robot systems (Ubuntu) and edge compute platforms (NVIDIA Jetson or similar)
- Practical experience building or integrating perception & manipulation systems (object detection, grasping, closed-loop control)
- Strong system thinking — able to move between model development, infrastructure and robot debugging
- Experience in training and fine-tuning deep learning models
- Experience with MLOps, dataset pipelines and local training infrastructure for robotics / vision models
- Experience with simulation + imitation learning workflows and sim→real transfer
- Cloud & infra skills (AWS / GCP, Kubernetes) and experience operating fleet-style services (message queues, event streams)
- Prior experience with customer projects, field installs or customer onboarding
- Models reliably detect and localise objects and the robot successfully grasps and manipulates target items in realistic customer environments
- CI/CD pipelines and MLOps workflows enable repeatable model training and safe rollouts to robots with monitoring and rollback
- Customer-facing pragmatism: you can translate prototypes into maintainable, testable customer deliverables and support field installs
- Documentation first: you write runbooks and docs alongside code and practice documentation-as-code
- Collaborative, curious and pragmatic — you iterate fast with hardware in the loop and help grow a small, SOTA team
Send your CV and a short note explaining your relevant experience to Jakob Sand. Applications will be reviewed on a rolling basis.
HIVE is an equal-opportunity employer. We welcome applicants from diverse backgrounds and encourage you to apply even if you don't meet every single requirement — if your experience convinces you're the right fit, we want to hear from you.