AI Quality Assurance Engineer

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Xirgo is building the future of smart fleet logistics: smarter, safer and more productive fleet management powered by world‑class technology, deep expertise and strong partnerships. You will help ensure that the next‑generation video dashcam platform delivers reliable, high‑performance AI features that create real value for fleet operators and drivers. You will work at the intersection of product, engineering and customer success, responsible for end‑to‑end validation of AI/ML functionality and for building scalable automation across embedded systems and cloud services.

• Validate the end‑to‑end behavior of AI features (including computer vision, ADAS, DMS) across device, edge and cloud.
• Build data‑driven feedback loops to diagnose performance issues, tune models and improve real‑world outcomes.
• Design and implement test plans, suites and reusable automation for embedded/edge AI and video analytics.
• Develop and extend Python‑based test frameworks (or equivalent) for HIL testing, simulation and in‑vehicle validation.

• Execute functional, regression, stress and performance tests on firmware features such as ADAS, DMS, A/V recording, live streaming, OTA updates, GNSS/Wi‑Fi location, power management and protocol stacks.
• Instrument systems to capture telemetry, logs and metrics, and analyze defects across firmware and cloud layers.
• Use tools such as Wireshark, Drewlinq, serial loggers, oscilloscopes and power analyzers to verify data flow and system stability.
• Document issues clearly in JIRA (or similar), including reproducible steps and supporting evidence; collaborate with developers to resolve root causes.
• Work cross‑functionally with product managers and software, firmware and hardware teams to translate requirements into concrete, testable deliverables.
• Proactively identify process gaps and drive continuous improvement in verification and release practices.

• Bachelor’s or Master’s degree in Computer Science, Electrical/Electronic & Systems Engineering or related field (or equivalent experience).
• At least five years of experience in QA or systems engineering with embedded/IoT devices and/or at least three years in AI/ML applications or computer vision.
• Strong understanding of QA methodologies, test types (functional, performance, stress, regression) and best practices.
• Experience with test automation (preferably Python) and frameworks for embedded/edge systems.
• Ability to interpret hardware/software interactions and excellent debugging, analytical, communication and organizational skills.
• Comfortable working independently in a fast‑paced, collaborative environment.

• Experience with real‑time video processing, edge AI or dashcam technologies.
• Exposure to vehicle/vehicle telematics, power optimization or environmental robustness.
• Familiarity with tools such as Test Rail, Postman, Wireshark and log/telemetry analysis.
• Understanding of fleet safety, telematics or automotive camera systems.
• Contribution to safety‑critical AI features that truly impact drivers and fleets.
• Work across device, edge and cloud with real customers and real‑world data.
• Competitive salary, strong benefits and extensive opportunities for training, development and growth.

Xirgo is a leading innovator in Smart Fleet Logistics, delivering intelligent, data‑driven solutions that make fleet operations safer, smarter and more productive. With world‑class technology, deep industry expertise and a commitment to long‑term partnership, Xirgo empowers fleets around the world to operate with greater efficiency, insight and confidence.