Embedded Software Eng.

Schaeffler; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Schaeffler in Bengaluru, India, seeks an experienced automotive software engineer to design and integrate software for software-defined vehicles, using AUTOSAR Adaptive, QNX, and POSIX. You will implement IPC, memory management, multithreading, and security concepts, script automation in Python and Bash, and configure builds with CMake; mandatory Trace32.

Collaborate with international teams, support testing and performance tuning, and contribute to proof-of-concept activities and AI-assisted

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, Embedded Systems, or a related discipline.
• Typically 5–10+ years of experience in automotive software development or embedded systems.
• Strong programming skills in C++ and experience with modern software-development practices.
• Hands-on experience with QNX — mandatory.
• Experience with AUTOSAR Adaptive and automotive middleware.
• Good understanding of POSIX-based operating systems, multithreading, memory management, and process management.
• Practical knowledge of IPC mechanisms and operating-system security concepts.
• Proficiency in Python and Bash scripting — mandatory.
• Strong experience with CMake — mandatory.
• Hands-on experience with Trace32 — mandatory.
• Basic knowledge of Generative AI and efficient use of Microsoft Copilot for software engineering activities — mandatory.
• Knowledge of automotive communication protocols such as SOME/IP or DDS.
• Awareness of automotive software quality and safety standards, such as ISO 26262.
• Strong analytical, problem-solving, communication, and teamwork skills.

Responsibilities

• Develop and integrate software solutions for software-defined vehicles and automotive vehicle-control systems.
• Design and prototype software architectures based on AUTOSAR Adaptive, QNX, and POSIX operating-system concepts.
• Contribute to proof-of-concept activities, technical feasibility assessments, and software innovation projects.
• Deliver secure, reliable, and performance-optimized automotive software in collaboration with international engineering teams.
• Develop and integrate automotive software and middleware components for software-defined vehicle applications.
• Design and implement software solutions using AUTOSAR Adaptive and service-oriented architecture principles.
• Develop, integrate, and debug software in QNX and POSIX-based environments.
• Analyze and implement essential operating-system concepts, including process management, multithreading, memory management, scheduling, and synchronization.
• Implement and troubleshoot IPC mechanisms such as message queues, shared memory, sockets, and signals.
• Apply relevant operating-system security concepts, including process isolation, access control, privilege separation, and secure communication.
• Develop automation scripts and engineering tools using Python and Bash.
• Configure and maintain software builds using CMake.
• Perform target-level debugging and trace analysis using Trace32.
• Support software integration, testing, troubleshooting, and performance optimization.
• Contribute to proof-of-concept development and technical feasibility assessments.
• Use Microsoft Copilot and other GenAI tools effectively for coding, debugging, testing, documentation, and technical analysis.
• Document and present technical results to project stakeholders and engineering teams.

Skills

C++

QNX

AUTOSAR Adaptive

POSIX

Multithreading

Python

Bash

CMake

Trace32

GenAI Copilot

Education

Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, Embedded Systems, or a related discipline

Tools

Trace32

CMake

Git

Job description

Your key Responsibilities:

• Develop and integrate software solutions for software-defined vehicles and automotive vehicle-control systems.
• Design and prototype software architectures based on AUTOSAR Adaptive, QNX, and POSIX operating-system concepts.
• Contribute to proof-of-concept activities, technical feasibility assessments, and software innovation projects.
• Deliver secure, reliable, and performance-optimized automotive software in collaboration with international engineering teams.
• Develop and integrate automotive software and middleware components for software-defined vehicle applications.
• Design and implement software solutions using AUTOSAR Adaptive and service-oriented architecture principles.
• Develop, integrate, and debug software in QNX and POSIX-based environments.
• Analyze and implement essential operating-system concepts, including process management, multithreading, memory management, scheduling, and synchronization.
• Implement and troubleshoot IPC mechanisms such as message queues, shared memory, sockets, and signals.
• Apply relevant operating-system security concepts, including process isolation, access control, privilege separation, and secure communication.
• Develop automation scripts and engineering tools using Python and Bash.
• Configure and maintain software builds using CMake.
• Perform target-level debugging and trace analysis using Trace32.
• Support software integration, testing, troubleshooting, and performance optimization.
• Contribute to proof-of-concept development and technical feasibility assessments.
• Use Microsoft Copilot and other GenAI tools effectively for coding, debugging, testing, documentation, and technical analysis.
• Document and present technical results to project stakeholders and engineering teams.

Your Qualifications:

• Bachelor’s or master’s degree in Computer Science, Electronics, Electrical Engineering, Embedded Systems, or a related discipline.
• Typically 5–10+ years of experience in automotive software development or embedded systems.
• Strong programming skills in C++ and experience with modern software-development practices.
• Hands-on experience with QNX — mandatory.
• Experience with AUTOSAR Adaptive and automotive middleware.
• Good understanding of POSIX-based operating systems, multithreading, memory management, and process management.
• Practical knowledge of IPC mechanisms and operating-system security concepts.
• Proficiency in Python and Bash scripting — mandatory.
• Strong experience with CMake — mandatory.
• Hands-on experience with Trace32 — mandatory.
• Basic knowledge of Generative AI and efficient use of Microsoft Copilot for software engineering activities — mandatory.
• Knowledge of automotive communication protocols such as SOME/IP or DDS.
• Awareness of automotive software quality and safety standards, such as ISO 26262.
• Strong analytical, problem-solving, communication, and teamwork skills.