Swan

Project Manager

• Lead and deliver end-to-end HR projects across systems, processes, and people initiatives, ensuring alignment with Swan’s business priorities and growth.
• Drive HRIS and HR tooling projects (implementation, optimization, and adoption), improving data reliability, process efficiency, and employee experience.
• Contribute to the design and continuous improvement of performance management processes, including performance cycles, feedback practices, and the analysis of key indicators such as turnover, to identify trends and inform retention actions.
• Structure and support succession planning and talent pipeline development, ensuring business continuity and long-term organizational resilience.
• Lead employee surveys and workplace climate monitoring initiatives, analyze insights, and translate them into actionable improvement plans.
• Address workload and organizational effectiveness topics, partnering with teams to identify imbalances and propose sustainable solutions.
• Drive diversity, equity, inclusion, and disability initiatives, ensuring they are embedded into HR processes and aligned with company values.
• Collaborate closely with HRBPs to ensure all initiatives are grounded in operational reality and effectively address employee and manager needs.
• Lead selected learning and development initiatives (e.g., leadership programs, key skill-building programs) where relevant to business needs.
• Manage relationships with external partners (e.g., HR tools providers, training organizations, institutional actors) when required for project delivery.
• Ensure proper governance, tracking, and communication of HR projects, including stakeholder alignment, timelines, and impact measurement.

HR Project Manager

Compliance

• Managing Regulatory Changes: Stay ahead of and implement regulatory changes in Italy.
• Regulatory Submissions: Assist in submitting regulatory documents under the supervision of the AMLRO.
• Escalation Point: Act as the escalation point for investigations conducted by Compliance Managers.
• Business Use Cases: Explore regulatory aspects of various business use cases.
• New Products and Services: Assess regulatory aspects of new products and services.
• Compliance Documentation: Contribute to the maintenance of our internal documentation, ensuring accuracy and compliance with industry standards.
• Regulatory Watch: Conduct regulatory watch on Italian banking supervision matters to keep the organization informed and compliant.
• Regulatory bodies: Serve as the primary point of contact for Italian regulatory bodies (Banca d’Italia, UIF)

Compliance Officer

Recruitment

• End-to-End Recruitment Management
• Develop and execute targeted sourcing strategies
• Manage the recruitment process through to offer acceptance
• Ensure a positive and professional candidate journey

Talent Acquisition Specialist

Robotics

• Design, develop, and deploy autonomy software for aerial robotics, including navigation, real-time mapping, and decision-making systems.
• Write clean, efficient and well-documented code in C++ and Python.
• Implement algorithms for sensor processing, mapping, and real-time control.
• Integrate perception, motion planning and controls modules to field end-to-end aerial behaviors as well as integrated, human-in-the-loop systems.
• Collaborate with cross-functional teams to design and test robotic hardware and software systems.
• Coordinate and execute field tests, demonstrations, and pilot programs in dynamic environments.
• Partner directly with customers and stakeholders to understand mission needs, gather feedback, and rapidly iterate.
• Troubleshoot and resolve performance issues in dynamic, real-world conditions.
• Translate field insights into actionable product improvements and engineering roadmaps.
• Champion best practices in code quality, reliability, security, and maintainability.

Forward Deployed Robotics Engineer

Engineer

• Build and iterate RF sensing prototypes for electronic warfare (EW) mapping experiments, including assembling and tuning receive chains (antenna → filtering → LNA/attenuation → SDR) and validating performance through testing.
• Execute field-style data collections using SDR platforms (USRP-class preferred), improving measurement reliability and quality through practical iteration (gain staging, front-end behavior, timing and metadata discipline).
• Develop DSP workflows on raw I/Q data to detect and characterize signals of interest (time–frequency analysis, correlation/matched filtering, detection metrics, spectral features), with an emphasis on identifying and tracking emitters.
• Apply lightweight parameter estimation and modeling to convert measurements into interpretable outputs (e.g., power trends, signal presence probability), and identify failure modes driven by real-world propagation and receiver artifacts.
• Create simple, robust data tooling to support experimentation, including repeatable capture → replay → evaluation workflows.
• Collaborate closely with senior engineers and researchers to translate ideas into structured experiments, validate assumptions with real data, and clearly document results and lessons learned.

RF Engineer

• Design, develop, and implement computer vision systems, including navigation systems for aerial applications.
• Write clean, efficient, and well-documented code in C++ and Python.
• Collaborate with cross-functional teams to design and test integrate robotic and vision systems.
• Collaborate with external stakeholders, including customers to understand requirements, conduct tests and understand changes and improvements needed to be made.
• Optimize system performance and ensure robust, reliable operation in diverse environments.
• Debug and troubleshoot system issues to identify and implement effective solutions.

Computer Vision Algorithms Engineer

• Design, develop, and implement software systems for robotics applications, including navigation systems and aerial robotics systems.
• Write clean, efficient, and well-documented code in C++ and Python.
• Integrate and calibrate various sensors (e.g., LiDAR, cameras, IMUs).
• Process, analyze, and interpret sensor data for real-time decision-making and control. Implement algorithms for processing sensor data.
• Collaborate with cross-functional teams to design and test robotic hardware and software systems.
• Collaborate with external stakeholders, including customers to understand requirements, conduct tests and understand changes and improvements needed to be made.
• Optimize system performance and ensure robust, reliable operation in diverse environments.
• Debug and troubleshoot system issues to identify and implement effective solutions.

Robotics Software Engineer

Full-stack Engineer

• Design, develop, and implement cloud infrastructure solutions, ensuring high availability, scalability, and security.
• Write clean, efficient, and well-documented infrastructure code using Terraform, CloudFormation, or other IaC tools.
• Collaborate with cross-functional teams to design and integrate infrastructure solutions that support software development and deployment.
• Work closely with external stakeholders, including customers, to understand requirements, conduct system testing, and implement necessary improvements.
• Optimize system performance, monitor infrastructure health, and ensure robust, reliable operations.
• Debug and troubleshoot system issues, identifying and implementing effective solutions.

Infrastructure Software Engineer

Research Engineer

• Research, design, and develop alternative PNT solutions leveraging signals of opportunity (Wi-Fi, cellular, LEO satellites, GNSS backups, etc.), radio SLAM, and inertial navigation.
• Implement and optimize sensor fusion algorithms integrating IMU, LiDAR, radar, barometers, magnetometers, and RF-based positioning.
• Develop robust navigation algorithms based on Kalman filtering, factor graphs, and particle filtering for real-time applications.
• Work on radio-based navigation techniques, including time-difference-of-arrival (TDOA), frequency-difference-of-arrival (FDOA), and Doppler-based positioning.
• Design and implement signal processing techniques for extracting positioning information from RF signals, including waveform analysis and multipath mitigation.
• Conduct real-world testing and data collection campaigns to validate and refine PNT solutions.
• Write clean, efficient, and well-documented code in Python and C++, with experience in simulation environments such as MATLAB, GNU Radio, or SDR-based platforms.
• Collaborate with cross-functional teams, including RF engineers, AI/ML researchers, and roboticists, to develop integrated navigation systems.

• Design, develop, and implement autonomy software for aerial autonomy, navigation, and real-time mapping.
• Work with internal product teams to integrate new features and improve existing functionality.
• Partner directly with customers and stakeholders, including in field testing and operational environments, to understand operational needs and deliver tailored solutions.
• Improve and troubleshoot performance of deployed systems, providing rapid iteration in response to end-user feedback and on-site challenges.
• Coordinate and execute field tests, demonstrations, and pilot programs in dynamic environments.
• Serve as the technical liaison between product development and end-users, translating practical feedback into actionable roadmaps for the engineering org.
• Champion best practices in code quality, security, and maintainability across the development lifecycle.

Forward Deployed Engineer

Machine Learning Engineer

• Design, develop, and optimize computer vision models for real-time applications on embedded systems
• Implement model compression techniques such as quantization, pruning, and knowledge distillation to improve performance on low-power hardware
• Deploy machine learning models on embedded platforms, including ARM, NVIDIA Jetson, Qualcomm, or custom ASICs
• Write clean, efficient, and well-documented code in Python and C++, leveraging ML frameworks like TensorFlow, PyTorch, and ONNX
• Develop and fine-tune SLAM, object detection, tracking, and feature extraction models for high efficiency
• Collaborate with cross-functional teams to integrate ML models into production systems, optimizing for latency, accuracy, and power consumption
• Benchmark and profile ML models to identify and implement optimizations for inference on embedded hardware
• Research and apply cutting-edge ML techniques to improve real-time performance in resource-constrained environments