Software Engineer II (IN) Senior (Automation Testing with Gen AI)

Key Responsibilities

• Leadership & Test Strategy: Define, own, and execute the comprehensive test strategy for the Edge AI and Mobile ecosystem. Lead, mentor, and task-manage QA automation engineers, guiding them in best practices for script development and testing methodologies. Act as the primary QA point of contact, collaborating cross-functionally with product managers, ML researchers, and hardware engineers to establish quality gates and acceptance criteria. Provide clear reporting on quality metrics, test coverage, and release readiness to senior management and stakeholders.
• Define, own, and execute the comprehensive test strategy for the Edge AI and Mobile ecosystem.
• Lead, mentor, and task-manage QA automation engineers, guiding them in best practices for script development and testing methodologies.
• Act as the primary QA point of contact, collaborating cross-functionally with product managers, ML researchers, and hardware engineers to establish quality gates and acceptance criteria.
• Provide clear reporting on quality metrics, test coverage, and release readiness to senior management and stakeholders.
• Edge Device Validation & Benchmarking (NVIDIA Jetson Orin): Lead the validation of deployment, stability, and inference accuracy of AI models running on NVIDIA Jetson Orin edge devices. Oversee and conduct extensive benchmarking of AI model performance. Evaluate system impact, thermal performance, and inference latency when a high number of concurrent users are accessing the edge device to run various models.
• Lead the validation of deployment, stability, and inference accuracy of AI models running on NVIDIA Jetson Orin edge devices.
• Oversee and conduct extensive benchmarking of AI model performance. Evaluate system impact, thermal performance, and inference latency when a high number of concurrent users are accessing the edge device to run various models.
• Data Augmentation & Computer Vision Testing: Direct the use of OpenCV to augment video test data, creating synthetic conditions and edge cases not included in originally captured test datasets to ensure highly robust model validation. Establish workflows for utilizing automated video annotation tools (such as CVAT) to build, manage, and refine ground truth datasets for testing.
• Direct the use of OpenCV to augment video test data, creating synthetic conditions and edge cases not included in originally captured test datasets to ensure highly robust model validation.
• Establish workflows for utilizing automated video annotation tools (such as CVAT) to build, manage, and refine ground truth datasets for testing.
• Mobile App Testing (Android): Architect comprehensive manual and automated testing strategies for companion Android applications. Ensure rigorous validation of UI/UX, BLE/Wi-Fi connectivity with the edge box, and real-time data streaming capabilities.
• Architect comprehensive manual and automated testing strategies for companion Android applications.
• Ensure rigorous validation of UI/UX, BLE/Wi-Fi connectivity with the edge box, and real-time data streaming capabilities.
• Automation Framework Architecture: Design the architecture for robust, scalable automated test frameworks for both mobile (Appium, Espresso) and embedded Linux/Edge platforms (Python, Pytest). Drive the integration of automated tests into the CI/CD pipeline (e.g., Jenkins, GitLab CI) to ensure continuous validation and fast feedback loops.
• Design the architecture for robust, scalable automated test frameworks for both mobile (Appium, Espresso) and embedded Linux/Edge platforms (Python, Pytest).
• Drive the integration of automated tests into the CI/CD pipeline (e.g., Jenkins, GitLab CI) to ensure continuous validation and fast feedback loops.
• Load & Performance Testing: Architect load, stress, and endurance test plans simulating high-throughput environments and concurrent edge-to-cloud connections. Identify architectural bottlenecks and oversee the measurement of system latency using tools like JMeter.
• Architect load, stress, and endurance test plans simulating high-throughput environments and concurrent edge-to-cloud connections.
• Identify architectural bottlenecks and oversee the measurement of system latency using tools like JMeter.
• AI-Driven Testing & Tools: Drive the adoption of modern AI testing tools to accelerate test script generation and maintenance across the team. Establish processes using platforms like Weights & Biases (W&B) to track model evaluation metrics and validate ML outputs across software builds.
• Drive the adoption of modern AI testing tools to accelerate test script generation and maintenance across the team.
• Establish processes using platforms like Weights & Biases (W&B) to track model evaluation metrics and validate ML outputs across software builds.

Required

Nice-to-Have

Benefits

• We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success.

Job Posting Statement

AI Technology Statement