• Collaborate with designers, developers, and product minds to craft seamless, full-stack solutions that make healthcare smarter. • Build and refine both front-end and back-end features for performance, reliability, and beauty. • Write clean, maintainable, and testable code — and continuously raise the bar for quality. • Explore, evaluate, and implement new technologies that make us faster, smarter, and more effective. • Troubleshoot issues and deliver solutions with empathy — because every bug fixed means a better experience for a patient.

• Configure autonomy software, perception stacks, networking, and cloud services. • Perform calibration, alignment, and validation of sensors and localization. • Execute first autonomy runs and safety acceptance tests. • Diagnose system failures across compute, networking, sensors, hydraulics, perception, control models, GNSS, and cloud connectivity. • Perform structured root-cause analysis based on logs, system traces, packet captures, machine telemetry, and hardware inspection. • Develop or extend diagnostic tools, scripts, and test harnesses to triage issues faster. • Identify failure patterns and propose mitigations upstream (software, firmware, safety logic, hardware design). • Translate field realities into actionable requirements for software, hardware, autonomy, and reliability engineering teams. • Identify gaps in serviceability, environmental tolerance (shock, vibration, dust), safety behavior, and operator workflows. • Validate ConOps, safety assumptions, and degraded-mode behavior against real site conditions. • Design and execute on-site test plans (functional, performance, environmental, regression) for autonomy behaviors, safety systems, control responses, and telemetry reliability. • Validate releases, patches, hardware revisions, and autonomy updates under real operational stress. • Maintain clear bug reports, defect triage, downtime logs, and structured feedback cycles into engineering. • Create service documentation, deployment procedures, troubleshooting guides, and safety protocols. • Work with OEMs and dealers to enable them to install, maintain, and support systems. • Define and improve deployment playbooks that scale globally. • Act as the bridge between customers and AIM engineering - clear, honest, technically grounded communication. • Manage expectations around downtime, features, maintenance windows, and machine readiness.

• Diseñar, implementar y mantener la infraestructura de TI, incluyendo servidores, almacenamiento, redes y plataformas de virtualización (on-premise y nube). • Operar en entornos NOC/SOC, monitoreando sistemas, redes y eventos de seguridad para asegurar la continuidad del servicio y la atención oportuna de incidentes. • Configurar y administrar componentes de infraestructura física y virtual alineados a los requerimientos del negocio. • Monitorear el rendimiento, capacidad y disponibilidad de los sistemas, implementando mejoras para garantizar alta disponibilidad y confiabilidad. • Ejecutar tareas de administración de sistemas: instalación, configuración, mantenimiento y actualización. • Automatizar procesos de infraestructura mediante scripting, herramientas de automatización e Infraestructura como Código (IaC). • Gestionar procesos de respaldo y recuperación de información (backup & disaster recovery). • Implementar controles de seguridad, gestión de accesos y mecanismos de cifrado para proteger la información. • Realizar evaluaciones de vulnerabilidades, escaneos de seguridad y apoyar en la respuesta a incidentes. • Administrar y optimizar servicios en la nube (cómputo, almacenamiento, redes e identidades). • Monitorear consumo y costos en la nube, proponiendo estrategias de optimización. • Mantenerse actualizado en tendencias tecnológicas y proponer mejoras continuas.

• Help design, build, and operate large-scale deception infrastructure within our hyper-realistic Attacker Eye global honeypot network, emulating real-world systems, services, and applications exposed to the internet. • Engineer and maintain high-interaction deception assets that capture authentic attacker behavior, exploitation workflows, and post-exploitation activity across multiple protocols and technology stacks. • Continuously evolve deception tactics by tracking attacker tradecraft, emerging vulnerabilities, and exploitation techniques to ensure environments remain believable and resistant to fingerprinting. • Instrument, enrich, and analyze deception telemetry , transforming raw log data into high-quality signals. • Generate automated reports from raw log data , producing structured insights on attacker behavior, exploitation trends, and campaign activity for internal and external consumption. • Rapidly deploy new deception scenarios in response to emerging N-day and 0-day vulnerabilities, active exploitation campaigns, and shifts in adversary behavior. • Collaborate closely with Detection Engineering and Threat Intelligence teams to convert deception telemetry into production detections and actionable intelligence. • Share insights across the organization , working with Labs, Marketing, Product, and other teams to help communicate emerging threats, research findings, and attacker trends. • Contribute original research and publications , documenting attacker behavior, deception methodology, and exploitation patterns for both internal stakeholders and the wider security community. • Own and improve the deception lifecycle , from implementation, deployment through, data quality, and long-term signal value.