A- journey that will improve me!

I’m thrilled to share a significant milestone in my professional journey – my new role as an intern, contributing to the groundbreaking world of V2X (Vehicle-to-Everything) technology at Porsche. It’s not just another internship; it’s an incredible opportunity to work at the cutting edge of automotive innovation, shaping the future of mobility and transportation safety.

Me with all the excitement at Porsche! 

The Exciting World of V2X Technology

V2X technology represents the future of connected vehicles. It’s all about enhancing road safety, improving driving comfort, and ultimately moving towards fully autonomous transportation. V2X allows vehicles to communicate with each other, with infrastructure, and even with pedestrians in real-time. This constant exchange of data helps prevent accidents, optimizes traffic flow, and opens the door to advanced driver assistance systems (ADAS).


Being part of this revolutionary field feels like working on the pulse of tomorrow’s technology, and having Porsche as the backdrop for this experience adds even more prestige and excitement. Porsche, a brand synonymous with innovation and excellence, is actively exploring the potential of V2X in developing smarter, safer, and more efficient transportation systems.


What My Internship Entails?

As an intern, my role involves working on various projects focused on the development and testing of applications aimed at enhancing driving comfort and safety. From exploring different technical and design approaches to prototyping and analyzing applications with real-world impact, this internship offers hands-on experience in shaping the next generation of automotive technology.

Here’s a quick look at the key responsibilities and projects I’m involved in:

  • Collaborating with an International Team: I am part of a dynamic, global team working on cutting-edge V2X solutions. Daily activities include brainstorming sessions, project updates, and cross-team collaborations where I can contribute ideas and learn from experienced professionals.

  • Development, Testing, and Validation: I actively participate in the development, testing, and validation of applications for V2X, working closely with experts to ensure that the technology meets rigorous performance and safety standards.

  • Rapid-Prototyping with Real Vehicles: One of the most exciting aspects of my internship is working with Porsche’s rapid-prototyping vehicles. This hands-on exposure allows me to bring concepts to life, testing and refining them in real-world conditions, which is a rare and invaluable experience.

  • Research and Content Creation: Another key responsibility is conducting literature research and creating content around V2X technology. I get to dive deep into the technical aspects of V2X, learning the latest trends and contributing valuable insights that help push the boundaries of what this technology can achieve.

  • Process Optimization and Automation: I’m also assisting in optimizing and automating processes in prototype development, helping the team streamline operations to work more efficiently while maintaining the highest standards of innovation.

Key Skills and Technologies


This internship is a fantastic learning experience, allowing me to apply and expand my technical skill set in real-world scenarios. Some of the key technologies I’m working with include:


Programming Languages: My programming skills in C++, C, and Python have been essential in various aspects of the internship, from software development to testing.


Development Tools: I’m getting hands-on experience with industry-standard tools like ROS (Robot Operating System), Docker, and WSL (Windows Subsystem for Linux), which are vital for prototyping and deploying V2X applications.


V2X Standards and Networking: I’m gaining in-depth knowledge of V2X standards like SAE and ETSI, as well as networking and radio layers, which are crucial for ensuring seamless vehicle-to-vehicle and vehicle-to-infrastructure communication.


Embedded Systems and ADAS: Working with embedded Linux and ADAS systems has been a key focus, giving me the opportunity to explore the world of embedded technology and advanced driver assistance.


Version Control with GitLab: Version control is critical in managing complex development projects, and I’m learning how to use GitLab to manage code efficiently and collaborate with my team more effectively.


Why This Internship Matters?


This opportunity with Porsche is not only an achievement but also a stepping stone in my career as a technology enthusiast and professional. Being part of a team that is driving the future of mobility is both inspiring and empowering. The combination of V2X technology and Porsche’s commitment to innovation offers a glimpse into what the future of transportation could look like – safer, smarter, and more connected than ever before.


I’m incredibly grateful for the chance to contribute to this forward-thinking field and to learn from some of the brightest minds in the industry. This internship is not only sharpening my technical skills but also nurturing my passion for automotive technology and innovation.


Stay tuned for more updates on my journey as I dive deeper into the exciting world of V2X technology and continue contributing to projects that are shaping the future of transportation. It’s an exciting time to be part of Porsche, and I can’t wait to see what’s next!

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SYSTEM READY — LAUNCHING PORTFOLIO
Pforzheim, Germany· Open to opportunities· ECU Automation · V2X · ADAS
00:00
Available · Pforzheim, Germany

Gunjan
Vaishnav

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Automotive engineer at the intersection of embedded software and test automation. Currently validating heat pump ECUs at Bosch using Python, Robot Framework, and HiL/SiL. Previously 14 months at Porsche Engineering — building safety-critical V2X applications and automated validation frameworks for autonomous driving functions.

GV
Gunjan Vaishnav
ECU Test Automation Engineer · Bosch Thermotechnik GmbH
14 mo
at Porsche Engineering
5+
years engineering exp.
V2X
Thesis focus area
Top 7
National innovation rank
PythonC++HiL/SiL V2XROS2Docker ADASRobot FW
EnglishC1
DeutschB1

Technical Expertise

Stack & Toolbox

Languages
PythonC++MATLAB/SimulinkCBash
Test & Validation
Robot FrameworkHiL TestingSiL TestingpytestUnit & IntegrationV-ModelISO 26262ECU Validation
Automotive & V2X
V2X / C-V2XADASCohda WirelessETSI ITSSAE StandardsCAN / EthernetTCP/IPFunctional Safety
DevOps & Environment
DockerLinux / WSLGitCI/CDJIRAConfluenceScrum / AgileVS Code
Robotics & AI / Vision
ROS2Computer VisionYOLO / OpenCVMachine LearningPyQtNvidia JetsonDigital Twin
Hardware & IoT
Raspberry PiArduinoESP8266Vehicle SensorsPrototyping

Career

Professional Experience

Apr 2026 – Present● Current
Bosch Thermotechnik GmbH · Germany
Engineering Intern — ECU Test Automation (R&D)
  • Implement and validate automated virtual test cases ensuring heat pump ECUs meet strict functional requirements using Robot Framework.
  • Execute SiL and HiL methodologies for embedded system performance and reliability validation.
  • Engineer and optimise automated testing libraries in Python, streamlining the continuous ECU validation pipeline.
  • Author technical documentation for test protocols and lead knowledge transfer for newly developed tooling.
PythonRobot FrameworkHiLSiLECU TestingLinux
Mar 2025 – Nov 2025Master's Thesis
Porsche Engineering Services GmbH · Mönsheim, Germany
Thesis Student — V2X Application Development & Validation
  • Object-oriented implementation of application logic for autonomous racetrack entry using V2X communication (frontend and backend in C++).
  • Programmed unit and integration tests in Python and C++; set up an automated test environment for continuous regression validation.
  • Validated through simulation campaigns and final in-vehicle testing on a real racetrack.
C++PythonV2X / C-V2XROS2Cohda WirelessFunctional Safety
Sep 2024 – Feb 202514 months combined ↑
Porsche Engineering Services GmbH · Mönsheim, Germany
Research & Development Intern — V2X Features
  • Implementation of V2X functionality on embedded Linux (C) and ROS2-based backend software using C++ and Python in Docker/WSL environments.
  • Ensured software compliance with V2X standards (SAE, ETSI); conducted system tests via ROS2, digital twin simulations, and prototype vehicle.
  • Contributed to HMI interaction definition for connected vehicles; documentation via JIRA and Confluence.
PythonC++CDockerROS2JIRASAE/ETSI
Apr 2022 – Sep 2022R&D Engineer
Tecmac Solution · Pune, India
Research & Development Engineer
  • Developed an end-to-end computer vision quality assurance system (YOLO/OpenCV) — improved defect detection rates on live production lines.
  • Prototyped firmware and hardware solutions, identifying and resolving device and process issues to improve reliability.
PythonYOLOOpenCVRaspberry Pi
Nov 2021 – Mar 2022Internship
Tecmac Solution · Pune, India
Research & Development Intern
  • Designed industrial hardware solutions; programmed Raspberry Pi and Arduino for first prototype construction.
  • Identified process solutions and contributed to production workflow analysis.
Raspberry PiArduinoPythonHardware Design
Jun 2021 – Jul 2021Internship
IITD-AIA Foundation for Smart Manufacturing · IIT Delhi, India
Machine Learning Intern
  • Retrofitted a legacy lathe into a smart system — built a pipeline for real-time sensor data acquisition and processing.
  • Implemented ML models to predict failure behaviours and classify impending machine faults from sensor streams.
  • Deployed an HMI application using PyQt to visualise machine health and predictive analytics in real time.
PythonMachine LearningPyQtPredictive Maintenance

Selected Work

Key Projects

Autonomous Racetrack Entry — V2X Safety App
Porsche Engineering · Master's Thesis

Safety-critical V2X application for autonomous racetrack entry. Full signal chain: V2X perception → trajectory planning → vehicle control. Validated in simulation and live in-vehicle testing on a real racetrack.

C++V2XROS2Cohda WirelessADAS
Heat Pump ECU Test Automation Framework
Bosch Thermotechnik · Current

Automated ECU validation suite using Robot Framework and Python across SiL and HiL environments. Replaces manual procedures and streamlines the continuous validation pipeline for embedded home comfort systems.

PythonRobot FrameworkHiLSiLECU
Motion Planning for Urban Scenarios — ROS2
Technische Hochschule Ingolstadt · Academic

Motion planning for connected cars in urban scenarios using ROS2, deployed and tested on real vehicles with Carissma. Implemented Ethernet/TCP-IP communication, active vehicle safety logic, and GUI via PyQt and RViz.

ROS2PythonEthernet/TCP-IPPyQtRViz
Autonomous Computer Vision QA Machine
Tecmac Solution · R&D

End-to-end CV system for production defect detection — YOLO/OpenCV object recognition, real-time CAD comparison, automated report generation. Designed hardware prototype and integrated into live manufacturing.

PythonYOLOOpenCVRaspberry PiCAD
Smart Lathe — Predictive Maintenance HMI
IITD-AIA Foundation · IIT Delhi

Retrofitted a legacy lathe into a smart IoT system. Built real-time sensor pipeline, deployed ML fault-classification models, and created a PyQt HMI to visualise machine health and predictive analytics live.

PythonML ClassificationPyQtSensor Fusion
IoT Home Automation — ESP8266
Personal Project

Voice-controlled home automation with ESP8266 and Google Assistant. Custom circuits, firmware in C, and cloud connectivity for real-time appliance control — an early deep-dive into embedded IoT systems.

ESP8266CIoTCloud

Academic Background

Education

M.Eng. International Automotive Engineering
Technische Hochschule Ingolstadt (THI) · Germany
Mar 2023 – 2025
ADASSensor FusionISO 26262E/E ValidationMATLAB/SimulinkV-ModelAutosarScrum
Specialisation in Integrated Safety & Assistance Systems, vehicle localisation/mapping, and automotive electronics. Thesis: V2X-Based Vehicle Entrance Function for Racetracks: Development and Validation.
B.Tech. Mechanical Engineering
RK University · Rajkot, India
May 2019 – Mar 2022
Kinematics & DynamicsMachine DesignCAD/CAM/CAEPowertrainICE
Concentration in machine design, kinematics, and industrial hardware. Graduated top of cohort — awarded the university gold medal. Thesis: Development of an autonomous quality control system using industrial image processing.

Recognition

Achievements & Certifications

Gold Medal
B.Tech Mechanical Engineering · RK University — top of cohort
National Top 7
Lemon Ideas — COVID-19 Innovation Challenge, top 15 nationally
14+ Months
Progressive tenure at Porsche Engineering — R&D Intern to Thesis Student
Certifications
Python for Everybody Specialization
University of Michigan · Coursera
Machine Learning
University of Washington · Coursera
Embedding Sensors & Motors
University of Colorado Boulder · Coursera
Introduction to Programming the IoT
University of California, Irvine · Coursera
ML & Data Analytics Training
IITD-AIA Foundation · IIT Delhi

Get In Touch

Let's Connect

Based in Pforzheim, Germany. Open to full-time roles in ECU test automation, embedded software validation, V2X / ADAS engineering, or automotive software development.