Verification and Validation Engineer - Avionics

Capgemini•Atlanta, GA

7d•$73,150 - $159,600•Onsite

About The Position

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Looking for somebody (engineer or technician) that can run Python scripts on low-level hardware interfaces. Must be knowledgeable about hardware interfaces and have hardware troubleshooting skills. Must be able to work independently and coordinate with various product teams. The job will also involve providing weekly status and sharing information and best practices with other members of the teams.

Requirements

Bachelor's degree in Electrical Engineering, Electronics Engineering, Computer Engineering, Computer Science, or a related technical discipline.
Strong proficiency in Python programming for hardware automation, validation, and test development.
Solid understanding of digital and embedded hardware systems, communication protocols, and board-level debugging techniques.
Hands-on experience with hardware test equipment and laboratory environments.

Responsibilities

Develop, maintain, and debug Python-based hardware validation scripts for board-level and interface-level testing.
Translate hardware requirements into executable test procedures and pass/fail criteria.
Hands-on with interfaces like UART/RS-422/RS-485, SPI, I2C, GPIO, Ethernet/CAN (as relevant).
Comfortable using oscilloscopes, logic analyzers, DMMs, power supplies, and signal generators.
Root-cause failures across script logic, firmware, and hardware bring-up issues.
Perform triage with clear issue isolation: test setup vs script defect vs hardware defect.
Write maintainable, modular Python with logging, retries/timeouts, and robust error handling.
Use version control (Git), code reviews, and basic CI/test execution workflows.
Maintain requirement-to-test traceability and test evidence (logs, captures, summaries).
Document setup instructions, known failure modes, and reusable troubleshooting playbooks.
Own test development from test design through lab execution and closure.
Proactively improve script reliability and test throughput.
Provide weekly status and share information and best practices with other members of the teams.