System Validation Engineer – RFID Systems

Role Overview

• Design and develop architectures for robust test automation frameworks for RFID system validation, focusing on scalability, maintainability, and performance.
• Implement Python-based interfaces to control and communicate with RFID readers to enable test execution, diagnostics, and data collection.
• Integrate test hardware (e.g., signal generators, spectrum analyzers, emulated tags) into the automation framework for fully automated execution and data acquisition.
• Develop and optimize system performance test scripts based on engineering specifications, enabling data logging, system validation, and post-test analysis.
• Implement and manage relational database systems (e.g., SQL) to organize and store test results; develop automated data pipelines for ingestion, processing, and aggregation of large-scale datasets.
• Troubleshoot and debug complex system-level issues involving interactions between RFID hardware, automation software, and test environments, ensuring compliance with product requirements.

Requirements

• Proficiency in Python
• Experience with embedded software stacks and software–hardware integration
• Familiarity with REST APIs and backend service automation
• Proficiency with Linux tools, shell scripting, and development best practices
• Experience with data analysis, processing, and visualization for test analysis
• Understanding of Test-Driven Development (TDD), Continuous Integration (CI), and deployment practices
• Deep experience with Linux terminal operations, including BASH scripting, process management, and system diagnostics
• Familiarity with virtualized environments using Docker and virtual machines
• Experience with Linux package management (e.g., apt, yum, dnf for installation, upgrades, and dependency management)
• Familiarity with remote debugging and access tools (SSH, Telnet, Remote Desktop)
• Log analysis and troubleshooting skills in complex automation environments
• Proficiency with Git command-line operations and version control best practices
• Understanding of trunk-based development, monorepo structures, and multi-distribution paradigms
• Experience with code review workflows, pull requests (PRs), and branching strategies
• Familiarity with software packaging tools (e.g., pip, npm, cargo, Linux distribution packages)
• Experience using RF test equipment, including high-speed oscilloscopes, signal generators, RF power meters, spectrum analyzers, vector network analyzers (VNA), etc.
• Knowledge of RF measurement principles and techniques, including signal-to-noise ratio (SNR), sensitivity analysis, power and RF emissions analysis, interference detection, and spectral analysis
• Experience testing WiFi, LTE, RFID, or similar systems is a plus.

Tech Stack

• Docker
• Linux
• Python
• Shell Scripting
• SQL

Benefits

• Hybrid work two days per week