Develop and run high-speed link simulations for the Ranovus Odin optical engine, building channel models, performing compliance simulations, and supporting hardware bring‑up.
Responsibilities
Develop and run high-speed link simulations for the Odin optical engine
Build and maintain IBIS-AMI models for SerDes transmitters and receivers
Run compliance simulations against OIF CEI and IEEE 802.3 channel masks
Perform link budget sensitivity analysis
Develop new modeling features and capabilities as the architecture evolves
Requirements
MSc. or Ph.D. in Electrical Engineering or related field
Nice to have: optical channel modeling
Nice to have: FEC (KP4, KR4) gain and BER floor modeling
The role involves developing and running behavioral simulations and control verification tests for the Odin optical engine using SystemVerilog, Verilog-A, and RTL before silicon.
Responsibilities
Develop and maintain SystemVerilog behavioral models of PIC, ASIC, and Laser subsystems for pre-silicon system simulation.
Build and run control verification testbenches: mission mode, bring-up sequences, link training, OE calibration, and fault recovery state machines.
Verify closed-loop (feedback) control algorithms used to calibrate and stabilize Photonic components – including modulator bias control, ring wavelength locking loops, and laser power regulation.
Run corner case simulations across PVT (process, voltage, temperature) conditions and aging scenarios.
Correlate simulation results against lab measurements to validate model accuracy.
Requirements
MSc. in Electrical Engineering or related field
Ph.D.
Nice to have: optical or photonic system simulation
A technical leader and domain pioneer leading data science and analytics to drive AI innovation, optimize campaigns, and create significant business impact for eBay.
Locations (2)
Toronto, Ontario, Canada
San Jose, California, United States
Responsibilities
Serve as an inspiring leader and domain lead for data science and analytics, guiding strategic roadmaps powered by eBay's extensive datasets.
Define, build, and track next-generation, AI-enhanced measures to evaluate product performance and lead automated health monitoring.
Architect and deploy predictive models, AI algorithms, and experimental frameworks to unlock high-impact growth opportunities and redefine product strategy.
Develop self-service dashboards and data visualization tools.
Partner with multi-functional teams to prioritize key business challenges and build outstanding AI and analytics solutions that unlock operational efficiencies.
Own the developer platforms that power engineering teams worldwide, managing critical platforms such as GitHub, Sourcegraph, SonarQube, and Artifactory.
Compensation
Employment condition: Brazil full-time CLT with FactSet competitive benefits global package applied to Brazil (FactSet total rewards).
Responsibilities
Build and maintain backend services in Go and Python
Develop automation that scales across thousands of engineers
Design and deploy cloud infrastructure using Terraform and Linux
Architect integrations between enterprise platforms
Evaluate emerging tools and drive adoption of modern engineering practices
Senior Systems Administrator responsible for managing and optimizing Microsoft 365, Azure, and other cloud and on-premises systems for a multi-site healthcare organization.
Responsibilities
Administration and optimization of Microsoft 365, Entra ID, Azure, Defender, Purview, Intune, and Autopilot
Live a cloud native life with Ubiquiti Unifi sites, Entra joined devices, and RMM through Atera and Splashtop / Rustdesk
Support a technology environment spanning Azure, AWS EC2, SQL Server, and eClinicalWorks systems
Provide configuration and updates to core SaaS systems: ActiveCampaign, Dialpad, Monday.com, DataWatch/PDK/Avigilon, WordPress
Automate provisioning, reporting, support, and administrative workflows using PowerShell, Power Automate, Microsoft Graph, REST APIs, Python, and SQL
Lead project delivery teams to develop, standardize and advance software technology and tools across the Environmental Services Global Practice.
Responsibilities
Lead development of standards, reference architectures and roadmaps for enterprise GIS, CAD, AI, and supporting hardware and software.
Coordinate between disciplines, business lines and Global Practices to develop software and technology that optimize business processes and deliverables.
Serve as the technical lead for enterprise platform strategy, licensing models and governance.
Review research on new software, platforms and emerging technology; evaluate and recommend adoption in support of corporate project delivery and data management initiatives.
Manage strategic relationships with software and hardware vendors, including enterprise agreements, licensing optimization, support escalation and roadmap engagement.
Dar vida y estructura a la plataforma operativa central que los equipos de negocio consultarán diariamente: desde los servicios de backend que procesan las reglas de negocio hasta las interfaces interactivas donde se analizan evidencias, discrepancias y recomendaciones generadas por modelos analíticos.
Responsibilities
Diseñar, construir y mantener APIs RESTful robustas para alimentar los diversos módulos funcionales de la plataforma.
Conectar de forma desacoplada los motores de procesamiento de datos, búsqueda semántica y modelos de IA mediante contratos de interfaz consistentes y predecibles.
Implementar esquemas de autenticación, control de accesos basado en roles/perfiles (RBAC) y bitácoras detalladas para auditoría de eventos.
Modelar y gestionar el historial de cambios, control de versiones de información y linaje documental dentro de la aplicación.
Desarrollar pantallas responsivas y de alto impacto visual, tales como visores de evidencias, herramientas de comparación de documentos, tableros de seguimiento (dashboards) y centros de alertas.
Requirements
Licenciatura o Ingeniería en Sistemas Computacionales
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