ATE Software Engineer

About DriveNets DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure. About the Role We are seeking a senior ATE Software Engineer to design, build, and deploy our next-generation automated manufacturing test platform for advanced telecom, high-density switching, and optical networking hardware. In this role, you will bridge the gap between R&D hardware/firmware teams and high-volume manufacturing lines. You will take ownership of ingesting, refactoring, and consolidating disparate R&D scripts, diagnostic tools, and legacy software into a single, scalable, production-grade test platform. We expect you to leverage modern AI-assisted development tools and workflows to maximize engineering efficiency, accelerate delivery timelines, and build highly robust, self-healing test automation. You will deploy test stations across global Contract Manufacturers (EMS/ODM), actively stabilize production lines through bring-up and ramp-up, and drive continuous test maintenance and root-cause failure analysis (RCA). Key Responsibilities • Test Platform Architecture & Software Development: Design, develop, and productize robust, modular test software frameworks for board-level (PCBA) and system-level manufacturing testing across multiple product lines and manufacturing sites. • Codebase Unification & Refactoring: Consolidate and standardize R&D diagnostic libraries, silicon validation scripts, and firmware tools developed across various environments ( Python, C# / Visual Studio, VB, ATEasy, Linux ) into a unified, maintainable test execution engine. • AI-Accelerated Development & Workflow Automation: Actively integrate Generative AI tools and AI coding agents into your daily workflow to accelerate code conversion/refactoring, automate test case synthesis, generate edge-case validation scripts, and enhance overall codebase resilience. • Production Line Deployment & Stabilization: Deploy test stations and fixtures to local and overseas EMS/CM production lines. Monitor, debug, and fine-tune test execution during NPI and ramp-up phases until yield, takt time, and test stability targets (CPK / First Pass Yield) are achieved. • Failure Investigation & Intelligent RCA: Investigate complex system-level and component-level test failures. Utilize advanced log analysis, structured telemetry, and pattern recognition to drive root-cause investigations and implement preventive software/hardware fixes. • Ongoing Test Maintenance & Optimization: Provide continuous operational Production line support and maintenance, bug fixes, software updates, and station cycle-time optimizations for active mass-production lines. • R&D Collaboration & Test Specification: Collaborate closely with Hardware, Firmware, and Validation teams during early design phases to define test specifications, drive Design for Testability, • Documentation & Technical Reporting: Author and maintain comprehensive testing documentation, Standard Operating Procedures (SOPs), test coverage matrices, and detailed failure analysis reports. • Manufacturing Systems Integration: Integrate automated test sequences with CM’s SFC/MES/QMS, serialized tracking, and central test log databases. • Log Analysis & Analytics Tool Development: Design and build dedicated log parsing, data visualization, and diagnostic analytics tools to streamline complex hardware/software debugging, accelerate root-cause analysis (RCA), and drive continuous production line cycle-time and yield optimization.

Requirements: • B.Sc. in Electrical Engineering, Software Engineering, Computer Science, or equivalent practical experience. • 5+ years of hands-on experience in ATE software development and production test engineering for complex telecom, networking, or optical hardware products. • Advanced, everyday practical mastery of AI-assisted engineering tools (e.g., GitHub Copilot, Cursor, LLM-based coding agents, automated prompt-driven refactoring) to radically accelerate code delivery, debug legacy systems, and enforce code quality. • Strong software engineering skills in Python and Linux environments. • Practical experience with test development in C# (.NET / Visual Studio) , VB , or specialized test sequencers such as ATEasy . • Proven track record of deploying, commissioning, and stabilizing ATE test benches at overseas tier-1 EMS/CM facilities. • Strong grasp of digital and communication protocols (PCIe, I2C, SPI, MDIO, UART, Ethernet) and familiarity with lab equipment (oscilloscopes, power supplies, high-speed traffic generators). • Strong analytical and debugging skills to isolate issues between hardware defects, firmware bugs, test software, and fixture/cabling failures. • Experience writing clear engineering documentation, test procedures (SOPs), and technical root-cause reports. • Excellent verbal and written English communication skills; readiness to support global manufacturing sites (including occasional international travel for line bring-up). • Proven hands-on experience integrating ATE platforms and automated test tools with Contract Manufacturers MES, QMS , and Shop Floor Control (SFC) systems for automated serialization, unit routing, and quality data logging. Preferred Qualifications • Experience with high-density Ethernet switches, data center networking architectures. • Hands-on experience testing high-speed optical transceivers and SerDes interfaces. • Strong advantage: Practical knowledge of high-speed SerDes configuration, link-tuning, and signal integrity validation. • Experience implementing AI/ML-driven log parsers, anomaly detection, or predictive yield analytics for manufacturing telemetry. • Experience integrating JTAG / Boundary Scan tools (JTAG Tech’) into automated manufacturing flows. • Familiarity with database architectures (SQL), data analytics, and SPC for production yield monitoring.