Hardware Analyst

Há 4 horas

São Paulo, Brasil Infleet Tempo inteiro

What you'll do day-to-day Testing & Validation: Structure and execute lab tests to validate and certify new hardware devices (telematics, AI cameras, etc.) ensuring they meet Infleet’s quality standards. Analysis & Documentation: Validate technical specifications, run quality checklists and document results clearly and consistently. Lab Setup: Build and maintain lab setups, configuring the test environments needed to simulate real-world usage scenarios. Data Analysis: Compile test data, organize spreadsheets and prepare reports to communicate results and provide visibility on device performance. Specialist Support : Provide technical support to the Customer Support team to troubleshoot complex customer cases, deeply investigating hardware behavior. Knowledge Management : Document solutions for complex cases and learnings from tests, collaborating with your leader to spread this knowledge internally. IoT Ecosystem : Work directly with Infleet’s IoT ecosystem, including embedded AI cameras and devices that report speed, location, ignition and more. What we need from you Prerequisites Education: Technical or bachelor’s degree in Electronic Engineering, Electrical, Computer, Mechatronics or related fields. Technical Knowledge: Knowledge in electronics (components, circuits, etc.) with hands-on experience assembling lab setups and familiarity with technical documentations. Communication: Excellent verbal and written communication skills to interact with multiple areas and document procedures. Data Analysis: Data analysis skills with ability to format spreadsheets and compile results. Profile: Proactive, organized and naturally curious about IoT, particularly applied to telematics and video. Nice to have Programming: Basic programming logic (Python, for example) for test automation, API consumption or scripting. Databases: SQL knowledge for queries. Specific Experience: Previous work with vehicle telematics devices, embedded cameras or automotive communication protocols (e.g. CAN). Artificial Intelligence: Interest and familiarity with AI tools to optimize tasks and analysis.

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