Intern - Software

We are seeking enthusiastic and talented Engineering Graduates to join our team as Interns, focusing on the dynamic field of Automotive Embedded Software. This internship offers hands-on experience in a fast-paced environment, working on cutting-edge technologies that power next-generation vehicles.Seeking enthusiastic Engineering Graduates for an Automotive Embedded Software Internship. Gain hands-on experience with cutting-edge technology for next-generation vehicles in a fast-paced environment.

Key Responsibilities

• Software Development and Implementation
• Code Development: Assist in the development and modification of embedded C firmware for specific Electronic Control Unit (ECU) functions, adhering to coding standards (e.g., MISRA C).
• Module Integration: Help integrate software modules (e.g., drivers, communication stacks, application code) into the main ECU software build.
• Documentation: Maintain clear and concise documentation for the developed code modules and configurations.
• Configuration: Learn and assist in the configuration of AUTOSAR or similar basic software layers (BSW) components.
• Testing, Debugging, and Quality Assurance
• Unit Testing: Develop and execute basic Unit Tests for individual software components to ensure functional correctness.
• Debugging: Utilize debugging tools (e.g., JTAG, in-circuit emulators) to identify, analyze, and resolve simple software defects/bugs in the embedded code.
• Integration Testing: Support the team during integration testing phases, verifying the interaction between different software and hardware components.
• Test Scripting: Write and maintain simple Python or similar scripts to automate repetitive testing tasks and process test data.
• Hardware & Communication Support
• Setup & Environment: Assist in setting up and maintaining the hardware benches, development boards, and testing environments (e.g., flashing the ECU, verifying power supply).
• Data Analysis: Monitor and capture vehicle network communication data (e.g., CAN messages) using tools like CANoe/CANalyzer for diagnostic and validation purposes.
• Troubleshooting: Perform initial triage on hardware-software integration issues observed during testing.
• AI Tool Deployment Support:
• Programming Languages: MATLAB Strong proficiency required. Ability to use the Database Toolbox and Statistics & Machine Learning Toolbox.
• Python: Essential for understanding legacy scripts, data conversion pipelines, and Jupyter Notebooks on GCP
• Key Responsibilities: Tooling & Automation Support: Assist in the validation and deployment of in-house or commercial AI/ML-based tools used for code analysis, testing, or quality assurance pipelines.
• Learning and Process Adherence
• Process Compliance: Understand and adhere to the established automotive development lifecycle (e.g., V-Model) and quality processes.
• Continuous Learning: Actively participate in training sessions and mentorship programs to rapidly acquire domain knowledge in automotive electronics and industry standards (e.g., ISO 26262, ASPICE).
• Reporting: Clearly report work status, issues, and test results to the assigned mentor/supervisor.
  

Category

Must-to-Have

Nice-to-Have

Languages

• C (Strong foundation and basic pointer concepts)
• C++ (Basic object-oriented concepts)
• Python (Scripting for automation)
• MATLAB/Simulink (Model-based development)
• SQL querying in GCP
  

Development Tools

• Basic knowledge of IDEs (e.g., Eclipse)
• Version Control using Git or SVN
• Familiarity with Debugging Tools (e.g., GDB)
• Automotive tool chains like Vector CANoe/CANalyzer
  

Testing Tools

• Exposure to Unit Testing frameworks
• Basic knowledge of Test Automation frameworks (e.g., PyTest)
  

Category

Must-to-Have

Nice-to-Have

Microcontrollers

• Understanding of Microcontroller/Microprocessor architecture (e.g., memory, registers, peripherals)
• Exposure to Automotive-grade MCUs (e.g., AURIX, Renesas, NXP)
  

Operating Systems

• Basic concepts of Real-Time Operating Systems (RTOS) or Operating System concepts
• Knowledge of AUTOSAR layered architecture and basic concepts
  

Hardware Exposure

• Ability to read basic Schematics and Datasheets
• Experience with Hardware-In-the-Loop (HIL) setup
  

Category

Must-to-Have

Nice-to-Have

Protocols

• Basic understanding of serial communication: UART, SPI, I2C
• Automotive communication protocols: CAN, LIN, FlexRay, Ethernet
  

Concepts

• Understanding of Interrupts, Timers, and ADC
• Knowledge of Diagnostics (UDS/OBD) and Functional Safety (ISO 26262)
  

Category

Must-to-Have

Nice-to-Have

Domain Knowledge

• Basic understanding of vehicle electrical architecture
• Exposure to Power Electronics or electric vehicle (EV) concepts and Battery Management Systems (BMS).
  

Category

Must-to-Have

Nice-to-Have

Domain Knowledge

• Data Science & Machine Learning Fundamentals
• Proficiency in SQL (specifically with GCP)
• Time series Machine learning algorithms
  

Hands-on Experience / Project Exposure

Candidates Should Highlight Any Experience In The Following Areas

• Academic Projects using microcontrollers like Arduino, Raspberry Pi, or any 8/16/32-bit MCU.
• Building and debugging simple embedded firmware from scratch.
• Developing Python scripts for data processing or simple automation tasks.
• Exposure to basic circuit design and prototyping (e.g., soldering, breadboarding).
• Participation in Technical Competitions or Hackathons related to robotics or embedded systems.Candidates should highlight experience in:
  

Soft Skills (Essential For Intern Success)

These skills are crucial for thriving in a professional team environment:

• Strong Analytical and Problem-Solving Abilities: Ability to logically approach and debug complex problems.
• Eagerness to Learn: A proactive attitude and genuine curiosity for automotive technology.
• Excellent Communication: Ability to articulate technical concepts clearly to team members.
• Team Player: Capable of collaborating effectively within a diverse team.
• Ownership and Accountability: Taking responsibility for assigned tasks and meeting deadlines.
  

We encourage students from the following engineering disciplines to apply:

• Electronics & Communication Engineering (ECE)
• Electrical & Electronics Engineering (EEE)
• Instrumentation & Control Engineering (ICE)
• Computer Science Engineering (CSE)