Location: Via Melen 83, 16152 Genoa, Italy

Contract: Full-time, Permanent

Location: Via Melen 83, 16152 Genoa, Italy

Contract Type: Permanent, Full-time

About Us

Generative Bionics is a deep-tech company building humanoid robot platforms to deploy human-centered Physical AI. We design intelligent, capable machines that work alongside people in real-world environments, developed in Genoa, Italy.

Role

We are looking for a Biomechanics Engineer to support the development of data-driven rehabilitation and humanoid robotics technologies. The role focuses on acquiring, synchronizing, validating, and interpreting multimodal human motion data, and on transforming these measurements into reliable human body models and biomechanical digital representations.

You will work at the intersection of sensorized data acquisition, biomechanics, robotics, and AI. You will help design and operate measurement workflows using wearable sensors, motion capture, force and pressure platforms, EMG, and smart shoes. The goal is to build high-quality datasets and patient- or subject-specific models that connect measured movement, forces, pressure, and neurophysiological signals with interpretable analytics and safe robotic interaction.

The role also includes contributing to our teleoperation technologies, both through software development activities and through hands-on operation of teleoperation systems during data collection, validation campaigns, and robot testing.

The ideal candidate is hands-on, rigorous, and comfortable working with complex experimental setups, human movement data, and multidisciplinary teams.

Responsibilities

- Design, prepare, and execute human motion data acquisition sessions using wearable sensors, motion capture systems, force/pressure platforms, EMG, smart shoes.
- Validate wearable sensing systems against laboratory reference measurements (e.g., motion capture, force platforms), define benchmarking methodologies, and report quantitative performance metrics.
- Synchronize and validate multimodal kinematic, dynamic, pressure, and neurophysiological data streams.
- Build, curate, and document structured datasets for human movement analysis, biomechanical modelling, AI training, and clinical or experimental validation.
- Develop and maintain pipelines for data cleaning, calibration, segmentation, quality control, annotation, and traceability.
- Contribute to the development and maintenance of software pipelines for human sensing, teleoperation, and dataset generation,



including synchronization, monitoring, logging, and data quality assurance.
- Operate teleoperation systems during data collection, validation campaigns, and robot testing activities, contributing to the continuous improvement of teleoperation procedures and tools.
- Support the creation of biomechanical digital models that link measured motion, forces, pressure, and physiological signals to interpretable indicators.
- Collaborate with AI engineers, roboticists, clinicians, and hardware teams to connect human motion data with explainable models, robot control, and validation protocols.
- Define and monitor technical quality metrics for acquisition repeatability, reconstruction accuracy, force estimation, data completeness, and model reliability.
- Prepare technical documentation, experiment reports, acquisition protocols, and reproducible validation material.
- Contribute to safe and compliant data handling, with attention to privacy, traceability, auditability, and interoperability requirements.

- Requirements

- Master’s degree in Biomedical Engineering, Robotics, Mechanical Engineering, Computer Science, Data Science, or a related technical field.
- Practical experience with human motion acquisition, biomechanics, robotics experiments, or sensor-based data collection.
- Strong understanding of kinematics, dynamics, signal processing, human movement analysis, and experimental validation.
- Strong Python programming skills for data processing, analysis, visualization, and automation.
- Practical software development experience in C++ for robotics, human motion analysis, sensor integration, and data-processing pipelines.
- Familiarity with robotic software architectures, middleware and frameworks used for integrating sensing, control, teleoperation, and data-processing components.
- Experience working with multimodal time-series data from sensors such as IMUs, motion capture, force plates, pressure platforms, EMG, or wearable devices.
- Ability to design structured acquisition protocols, manage calibration procedures, and assess data quality and repeatability.




- Interest in teleoperation, human-in-the-loop robotics, and human motion digitization technologies, with the ability to contribute both to software development and experimental activities.
- Familiarity with human body models, biomechanical simulation, digital twins, or musculoskeletal modelling.
- Ability to work effectively in laboratory environments and coordinate with technical, clinical, and robotics stakeholders.
- Hands-on experience working with wearable sensing systems, motion capture technologies, robotic platforms, or complex experimental setups.
- Good documentation habits and attention to reproducibility, traceability, and experimental rigor.

Valued Extras

- Experience with clinical, rehabilitation, sports science, ergonomics, or assistive robotics applications.
- Familiarity with robotic simulation environments.
- Experience with sensor fusion, pose estimation, movement segmentation, motor phase recognition, or force estimation.
- Knowledge of data interoperability standards or healthcare data structures, including HL7/FHIR.
- Experience preparing experimental protocols, validation reports, technical documentation, or scientific publications.
- Familiarity with teleoperation systems, human-in-the-loop robotic control, digital human modelling, or data-driven robotics applications.

We Offer

- The chance to build core data acquisition and biomechanical modelling capabilities for real-world human-centered robotics.
- A collaborative environment with tight feedback loops between biomechanics, AI, robotics, clinical, and hardware teams.
- The opportunity to contribute to technologies that make rehabilitation and physical interaction more measurable, explainable, and repeatable.
- A stimulating and informal work environment, working closely with highly skilled technical and research teams.
- Concrete opportunities for professional growth.
- Environment: An informal, fast-paced, and meritocratic startup context driven by Agile methodologies.
- Compensation: Competitive salary and contract commensurate with experience.

Disclaimer

We are proud to be an Equal Opportunity Employer. We evaluate all qualified applicants solely on the basis of merit and business needs, without distinction or discrimination based on gender, race, color, ethnic or social origin, age, religion, sexual orientation, gender identity, disability, or any other characteristic protected by law.

📌 Biomechanics Engineer (Genova)
🏢 Generative Bionics
📍 Genova