This client is a true innovator in the GNSS & IoT domain, working on cutting-edge and market disrupting digital RF technology. They are at a pivotal point of growth and are looking for a passionate Senior Silicon Validation Engineer to join their team.
Here are some of the key tasks:
-Collaborating closely with the design teams, firmware, and software teams to define digital test requirements and validation plans.
-Developing and executing comprehensive test plans to validate all digital functionalities.
-Working on SoC-level validation and bring-up, managing tests from component-level through to full system operation.
-Creating Python/C scripts to automate tests and collect measurements using automated setups with digital test equipment.
-Collecting, organizing, and analyzing data to verify performance across various conditions for different samples.
-Utilizing tools like Python for scripting and data handling to automate processes and enhance analysis.
-Debugging and troubleshooting issues that arise during testing, including hardware, firmware, and digital interface issues, and collaborating with design, applications, and software teams to implement solutions.
-Documenting test procedures, validation results, and specifications for internal reference and compliance.
The ideal background:
-Strong knowledge of digital circuits, including memory and MCU architecture and digital interfaces, with experience in low-power IoT systems.
-Hands-on experience with bus protocols (AHB, APB) and peripheral interfaces (SPI, I2C, UART).
-Working knowledge of FPGA systems for pre-silicon debugging, especially Zynq processors.
-Proficiency in firmware debugging and real-time troubleshooting using debugging tools and creating mini-fw to test the HW
-Experience with automated test setups and conducting concurrent lab tests on multiple products.
-Hands-on experience with lab equipment, such as oscilloscopes, logic analyzers, digital multimeters, signal generators, and programmable power supplies.
-Proficiency in Python programming for automation and data analysis; familiarity with tools like Excel, database management, and version control software (e.g., Git). –
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