08/02/2026 updated


100 % available
V&V / Test Architect — Safety-Critical Embedded, Cloud & AI
Quadrivio di Campagna (SA), Italy
Only remote
M.Eng. Control Engineering — Università degli Studi di Napoli Federico II, 110/110 cum laudeAbout me
Test architect for safety-critical systems — 17 years V&V across automotive (ISO 26262, built from scratch twice), and aerospace (DO-178B). Full validation chain: strategy, MIL/SIL/HIL, coverage to MC/DC — 3 years running a physical HIL lab remotely, daily production cadence.
IoTC (Programming Language)Application Programming Interfaces (APIs)Amazon S3Atlassian JiraTest AutomationAutomated Testing FrameworkAUTomotive Open System Architecture (AUTOSAR)C++ (Programming Language)CAN BusCANalyzerUbuntu (Operating System)Cloud TestingContinuous IntegrationLinux
ISO 26262 & DO-178B V&V
Expertise in building complete requirements-based V&V programs from scratch in compliance with ISO 26262 and DO-178B, covering MIL/SIL/HIL environments, structural coverage to MC/DC, and end-to-end traceability using tools such as Reqtify.
HIL/SIL Test Architecture & Remote Lab Operation
Extensive experience setting up and operating HIL simulators (NI PXI, VeriStand, dSPACE SCALEXIO) including pinout definition, CAN/J1939 bus reproduction, and running physical HIL labs fully remotely at daily production cadence over multiple years.
Test Automation & CI/CD
Proficiency in building automated test frameworks using Python (pytest), C/C++, Jenkins CI pipelines, Docker and Docker Compose, Git/GitHub, Jira, TestRail, and Zephyr API, enabling continuous integration and automated test reporting.
Embedded & Cloud Integration Testing
Experience in embedded-to-cloud communication validation using AWS IoT Core, MQTT (Mosquitto broker), REST APIs, boto3 (S3, Secrets Manager), LocalStack, and microservice integration testing with Docker Compose and isolated service containers.
MATLAB/Simulink & Model-Based Testing
Hands-on use of MATLAB, Simulink, Stateflow, Embedded Coder, and S-functions for MIL/SIL testing, code generation, and embedded/cloud MIL simulation including Python bindings for C++ libraries inside automated pytest frameworks.
Vehicle Networks & Diagnostics
Knowledge of CAN, LIN, J1939, SOME/IP, UDS, CAPL scripting, CANoe, CANalyzer, ETAS INCA, and Wireshark for vehicle network analysis, signal injection, and virtual calibration.
AUTOSAR Validation
Validation of AUTOSAR Classic and Adaptive middleware for software-defined vehicle platforms, including requirements-testability analysis for SOA software and hundreds of automated functional tests via Python bindings and Docker-ized targets.
Aerospace Certification & EASA Compliance
Contribution to EASA certification of autopilot software (PFCS/AFCS) per DO-178B, including participation in 3-4 certification audits, structural coverage verification at MC/DC level, and building flight-data replay and back-to-back toolboxes.
Requirements Management & Traceability
Use of DOORS and Reqtify for requirements management and end-to-end traceability from requirements to test specs to results, supporting both automotive and aerospace safety-critical programs.
Expertise in building complete requirements-based V&V programs from scratch in compliance with ISO 26262 and DO-178B, covering MIL/SIL/HIL environments, structural coverage to MC/DC, and end-to-end traceability using tools such as Reqtify.
HIL/SIL Test Architecture & Remote Lab Operation
Extensive experience setting up and operating HIL simulators (NI PXI, VeriStand, dSPACE SCALEXIO) including pinout definition, CAN/J1939 bus reproduction, and running physical HIL labs fully remotely at daily production cadence over multiple years.
Test Automation & CI/CD
Proficiency in building automated test frameworks using Python (pytest), C/C++, Jenkins CI pipelines, Docker and Docker Compose, Git/GitHub, Jira, TestRail, and Zephyr API, enabling continuous integration and automated test reporting.
Embedded & Cloud Integration Testing
Experience in embedded-to-cloud communication validation using AWS IoT Core, MQTT (Mosquitto broker), REST APIs, boto3 (S3, Secrets Manager), LocalStack, and microservice integration testing with Docker Compose and isolated service containers.
MATLAB/Simulink & Model-Based Testing
Hands-on use of MATLAB, Simulink, Stateflow, Embedded Coder, and S-functions for MIL/SIL testing, code generation, and embedded/cloud MIL simulation including Python bindings for C++ libraries inside automated pytest frameworks.
Vehicle Networks & Diagnostics
Knowledge of CAN, LIN, J1939, SOME/IP, UDS, CAPL scripting, CANoe, CANalyzer, ETAS INCA, and Wireshark for vehicle network analysis, signal injection, and virtual calibration.
AUTOSAR Validation
Validation of AUTOSAR Classic and Adaptive middleware for software-defined vehicle platforms, including requirements-testability analysis for SOA software and hundreds of automated functional tests via Python bindings and Docker-ized targets.
Aerospace Certification & EASA Compliance
Contribution to EASA certification of autopilot software (PFCS/AFCS) per DO-178B, including participation in 3-4 certification audits, structural coverage verification at MC/DC level, and building flight-data replay and back-to-back toolboxes.
Requirements Management & Traceability
Use of DOORS and Reqtify for requirements management and end-to-end traceability from requirements to test specs to results, supporting both automotive and aerospace safety-critical programs.
Experience
Professional experience10+ years
Freelancer since2026
Languages
EnglishFluentItalianNative speakerPortugueseFluentSpanishBasic knowledge
Project history
Lead test strategy and execution for hybrid embedded/cloud AI systems in EV battery management, including black-box validation of ML predictions (SOC/SOH/SOP). Built a local integration-test environment using Docker Compose, LocalStack, and isolated service containers. Performed embedded/cloud MIL simulation with MATLAB/Simulink and validated embedded-to-cloud communication using Mosquitto broker, AWS IoT Core, and REST APIs. Automated test reporting to Jira Cloud via the Zephyr Essential API.
Validated AUTOSAR Classic and Adaptive middleware for Ford's software-defined vehicle platform within a globally distributed EU/US team. Built hundreds of automated functional tests in Python with C++ APIs tested via Python bindings and Docker-ized targets over SSH. Owned 3-4 Jenkins CI pipelines, managed tests in TestRail, reviewed automation code on GitHub, and led 2-3 cross-component integration demos.
Established testing strategy and processes from scratch in compliance with ISO 26262. Set up and operated HIL simulators (NI PXI, VeriStand) remotely for 3 years at daily cadence: ~3 releases/year, ~300 automated test cases, 2 on-site visits. Drove a legacy-to-new controller migration via back-to-back testing using Python. Supported an aerial-firefighting-platform customer to certification and built a SIL environment for an autonomous-vehicle application including GNSS and LiDAR sensor simulation.