This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a Senior Software Development Engineer in Test to take technical ownership of quality architecture across our physical AI vision platforms. This role is deeply focused on our NVIDIA Jetson-based edge AI cameras, localized inference engines, and low-latency video processing pipelines. In this role, you will design, build, and maintain the complex automated testing frameworks that ensure the reliability, performance, and accuracy of our mission-critical hardware and embedded software. This is a highly autonomous, hands-on role where you will operate at the intersection of hardware, embedded Linux, dockerized edge applications, and AIoT architectures. You will define and execute the overarching programmatic quality strategy for complex devices deployed in rigorous, real-world manufacturing environments. What you’ll do - Automated End-to-End Testing: Design and execute fully programmatic E2E test flows that simulate real-world manufacturing inputs (e.g., synthetic video streams), trigger local NVIDIA Jetson inference, and validate web application functionality with physical or network outputs within a strict environment. - Edge Automation Architecture: Architect and develop robust automated testing frameworks from scratch using Python, specifically targeting embedded Linux systems and edge AI devices. - Web Application & API Testing: Develop and maintain automated UI and API test suites for the web applications and local interfaces used by customers to configure, monitor, and interact with our vision systems. - Hardware-in-the-Loop (HIL) Testing: Build and scale HIL testing infrastructure to simulate factory environments, stress-testing physical camera systems under real-world compute, memory, and thermal constraints. - System-Level Debugging: Investigate complex failures spanning physical hardware, custom baseboards, Linux OS kernels, local network protocols (TCP/IP, RTSP), web application layers, and edge Docker containers. Qualifications - 4+ years of experience as a Software Development Engineer in Test (SDET), Embedded Test Engineer, or Software Engineer, with a proven track record of deep technical expertise and project ownership at a Senior or Staff level. - Hands-on experience with the NVIDIA Jetson ecosystem or similar resource-constrained embedded Linux systems. - Expert proficiency in Python for building complex automation frameworks, CI/CD integrations, and device interaction tooling. - Proven experience testing web applications and APIs using modern automation frameworks (e.g., Playwright, Cypress, or Selenium). - Deep experience programmatically testing AIoT edge devices, embedded Linux systems, and local network protocols. - Professional experience with or a strong passion for utilizing AI agent tools to architect solutions and solve difficult technical problems efficiently. - Excellent problem-solving skills with an independent ownership mindset and the ability to confidently navigate ambiguity in a hardware-software co-design environment. Nice to have - Experience validating computer vision applications, OpenCV, or real-time video processing streams. - Industrial automation background or familiarity with industrial network protocols (PLC, EtherNet/IP, Modbus, etc.). Benefits - High Agency, Zero Bureaucracy: You are coming in as a Senior Engineer, not a ticket-taker. You define the test architecture. You pick the tools. You decide how we validate our products. We hire smart people and get out of their way. - High Autonomy: We believe in highly autonomous and creative builders. You will have high ownership over your specific hardware and software testing domain. - Work Smarter, Not Harder: We don't just build AI; we use it. We love that you want to use AI agents to solve problems. We don't measure hours; we measure leverage. If you can use an AI agent to automate 80% of the grunt work, we’ll high-five you, not ask why you aren't typing. - Growth: Join a fast-growing, fast-moving, and profitable startup.

• Develop and maintain moderately complex integration, functional, and non-functional tests, and contribute to automated test frameworks, to ensure the holistic quality of the software • Lead the verification of system functionality by executing moderately complex automated and manual tests, analyzing results, and providing recommendations; record test outcomes; report defects and results in test repository • Contribute to the implementation of the delivery pipeline including test automation, test environments, and security • Perform manual testing responsibilities, including the creation of test cases and test plans • Follow the peer code review process for test automation code, including completing code reviews for peers and incorporating feedback into automated tests • Verify performance and scalability of the system • Actively participate in planning, work estimation, solution demos, and reviews • Provide troubleshooting support for moderately complex production issues or software issues to ensure the stability of the application • Actively participate in formal reviews of software products, databases, and environments relating to testing of the software

Position Overview The Test Engineer will support a large-scale government agency initiative to modernize a complex, interdependent data intensive system of systems transitioning from legacy on-premise platforms to AWS cloud-native architectures. This is not a traditional QA role. It is a cloud-native test automation engineering position responsible for ensuring functional equivalence, data integrity, and automated regression validation during migration from legacy technologies (e.g., SAS-based and file-driven systems) to modern Python-based serverless and microservices AWS Cloud Native applications. The Test Engineer will work as part of an Agile Scrum Team and collaborate with other Test Engineers in parallel workstreams to ensure the system of systems is validated end-to-end. This includes coordinated regression testing, integration validation, and synchronized release readiness across interconnected platforms.   Key Responsibilities  Legacy-to-Cloud Validation (Functional & Data Integrity) - Design and execute parallel validation frameworks comparing legacy system outputs to modernized AWS Cloud Native outputs. - Develop automated regression test suites using Python, Selenium and other automation frameworks. - Validate: - Business logic equivalence - Data transformation accuracy - Aggregation and computational correctness - End-to-end workflow outputs - Validate high-volume, data-intensive application behavior under realistic production load conditions. - Collaborate with SMEs to define statistical and functional acceptance criteria.   Agile Scrum Team Participation - Participate in Sprint Planning, Daily Standups, Reviews, and Retrospectives. - Embed automated testing into the Definition of Done. - Partner closely with developers to shift-left testing practices and collaborate to establish test driven development. - Support continuous validation across sprint increments.   Automation Engineering & DevSecOps Integration - Design and implement automated testing frameworks integrated into CI/CD pipelines (GitLab or equivalent). - Develop robust test automation using: - Python (expert-level required) - Selenium (expert-level required) - Additional scripting/automation tools as appropriate (e.g., PyTest, Behave, Robot Framework, Bash, PowerShell, etc). - Implement automated unit, integration, regression, and system-level testing. - Enable push-button regression validation across interconnected subsystems. - Integrate automated security and compliance checks into release pipelines. - Validate AWS Cloud Native workloads including serverless, containerized, and batch processing architectures. - Develop   System-of-Systems & Cross-Workstream Validation - Collaborate with Test Engineers across workstreams to validate: - End-to-end data flow across processing, analytics, and dissemination systems - API integrations, event-driven triggers, and orchestration mechanisms - Sequencing and dependency alignment across modernization phases - Support coordinated integration testing for large-scale system-of-systems deployments. - Validate automated workflow gating and orchestration logic replacing manual triggers.   UI & Application Testing - Develop automated UI and workflow testing using Selenium. - Validate configuration-driven applications and workflow interfaces. - Test analytical dashboards and reporting platforms (e.g., Amazon QuickSight, QJS, or equivalent BI platforms). - Validate performance, accessibility, and browser compatibility.   Data Quality & Test Data Engineering - Develop and maintain: - Synthetic datasets - Golden regression datasets - High-volume scalability datasets - Automate validation of ingestion pipelines (API-driven, database-driven, batch-based). - Validate database integrity (Aurora/Postgres or equivalent). - Support test data staging and masking in AWS environments.   Governance & Documentation Support - Maintain requirements-to-test-case traceability. - Produce automated test artifacts supporting architecture review and security authorization processes. - Participate in structured defect triage and release readiness reviews.

• Analyze requirements to produce a comprehensive test strategy and detailed test cases • Design and implement manual and automated tests at all levels in the test pyramid, including unit, component, integration, and end-to-end levels • Design, build, and enhance scalable automated test frameworks to support feature testing and AI-driven product workflows • Develop and maintain automation for UI and API tests using tools such as Selenium, pytest, and Playwright • Conduct performance and load testing (using tools like locust) to ensure product scalability • Build test reports using reporting tools such as Allure • Report regressions to a corresponding dev team • Influence design decisions by providing timely feedback on design documents and testability • Collaborate closely with other members of an agile team, including engineers, product management, and UX, to become a valued member of an autonomous, cross-functional team.