📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Mercedes-Benz 👥 Experience 1-5 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2021, 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹12–22 LPA* 🏢 Industry Technology 🛠 Key Skills Python C++ Rust Docker Kubernetes ROS2 Linux AI frameworks Systems Engineer – SDV & AI Infrastructure at Mercedes-Benz — Full Details & How to Apply Mercedes-Benz is seeking a Systems Engineer – SDV & AI Infrastructure in Bengaluru, Karnataka, India , where you'll work on cutting-edge AI-powered software systems that are transforming the automotive landscape. This role is pivotal for those looking to innovate within the evolving field of software-defined vehicles (SDVs). The demand for skilled professionals in the technology sector is surging, particularly in areas related to AI and SDVs. As the automotive industry pivots towards software-driven solutions, the Systems Engineer – SDV & AI Infrastructure position at Mercedes-Benz plays a crucial role in shaping the future of vehicle performance and user experience. This is not just a job; it's an opportunity to be at the forefront of technological advancement. What sets Mercedes-Benz apart as an employer is its rich history and commitment to quality since its founding in 1926 . With over 170,000 employees globally, Mercedes-Benz is a leader in luxury automotive technology, known for its innovative approach and high standards. This role offers a unique chance to contribute to groundbreaking projects that enhance the driving experience for millions. We encourage 2021, 2022, 2023, 2024, 2025 graduates and Any Graduate with 1-5 years experience to apply for this position, which offers a competitive salary of ₹12–22 LPA* . This is an excellent opportunity for freshers to step into a role that promises growth and development in the tech industry. In this role, you will gain hands-on experience with advanced technologies such as Python , C++ , Rust , Docker , Kubernetes , ROS2 , and Linux . These skills are highly sought after and will open doors to senior engineering positions, allowing you to build a robust career in AI and software engineering. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The Systems Engineer – SDV & AI Infrastructure at Mercedes-Benz is tasked with developing innovative AI-powered software systems that enhance vehicle functionalities through advanced technologies. Develop AI-powered software systems using Python and C++ to improve vehicle functionalities and performance metrics. Integrate edge-to-cloud platforms utilizing Docker and Kubernetes for efficient deployment and management of applications. Collaborate with cross-functional teams, including software developers and AI researchers, to validate simulations and enhance system performance. Analyze system performance metrics to ensure optimal operation of AI systems in vehicles, driving continuous improvement. Take ownership of project components, driving initiatives from concept to deployment while utilizing Linux for system-level programming. Document system designs and performance reports to facilitate knowledge sharing within the team and improve project outcomes. Engage in problem-solving discussions with clients to address technical challenges related to SDVs , ensuring client satisfaction. This role fosters an ownership culture, allowing you to directly impact the development of cutting-edge technologies in the automotive industry. Required Skills & Technical Competencies The ideal candidate will possess a robust skill profile, combining technical expertise with problem-solving abilities to excel in the Systems Engineer role. Technical Skills Python — intermediate — essential for developing AI algorithms and processing data effectively. C++ — strong — used for performance-critical components in vehicle software, ensuring high efficiency. Docker — intermediate — applied for containerization of applications, maintaining consistency across environments. Kubernetes — intermediate — utilized for orchestration of containerized applications, requiring familiarity with deployment strategies. Linux — daily use — foundational for system-level programming and operations in development environments. Soft Skills & Professional Competencies Analytical Thinking — essential for analyzing system performance metrics and identifying areas for improvement. Effective Communication — necessary for engaging with clients and cross-functional teams to address technical challenges. Problem-Solving — critical for troubleshooting issues related to SDVs and enhancing system functionalities. Documentation Skills — important for creating clear system designs and performance reports for team knowledge sharing. Good to Have (Bonus Skills) Rust — enhances system performance and safety, particularly in embedded systems. Experience with ROS2 — unlocks capabilities in robotics and autonomous systems integration. Knowledge of machine learning frameworks — broadens your ability to contribute to AI projects . When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in relevant technologies. Eligibility Criteria This role is designed for graduates who are eager to contribute to cutting-edge technology in the automotive sector. Any graduate is eligible, as diverse educational backgrounds are valued. Candidates from the batches of 2021 to 2025 are encouraged to apply, aligning with the focus on fresh talent. 1-5 years of experience is preferred, allowing freshers to grow alongside experienced professionals. A minimum academic performance of 60% is expected to ensure a strong foundational knowledge. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge in the application process. Documentation & Portfolio Requirements Submit your resume in a clear format, including your educational background, relevant skills, and links to your portfolio or GitHub showcasing your projects. Pro tip: Highlight specific projects where you utilized Python , C++ , or Docker to demonstrate your hands-on experience and problem-solving capabilities. Salary for Systems Engineer – SDV & AI Infrastructure at Mercedes-Benz 💰 Compensation ₹12–22 LPA* The advertised compensation for the Systems Engineer – SDV & AI Infrastructure role at Mercedes-Benz is ₹12–22 LPA* . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Mercedes-Benz The selection process for the Systems Engineer – SDV & AI Infrastructure role is designed to assess both technical skills and cultural fit within the company. 1 Online Assessment — 60 minutes, testing coding skills and problem-solving abilities through MCQs and coding challenges. 2 Technical Interview — focuses on Python, C++, and system design principles, assessing depth in these areas. 3 Behavioral Interview — evaluates cultural fit and teamwork through situational questions. 4 HR Interview — discusses offer details and candidate expectations, typically completed within a week. Topic-wise Preparation Guide Round 1: Online Assessment Data Structures — understanding arrays, linked lists, and trees is crucial for coding challenges — LeetCode Algorithms — focus on sorting and searching algorithms relevant to system performance — GeeksForGeeks Python Basics — ensure proficiency in syntax and standard libraries — W3Schools C++ Fundamentals — review object-oriented programming concepts — GeeksForGeeks Round 2: Technical Interview Python Advanced — delve into libraries like NumPy and Pandas for data manipulation — Coursera C++ Design Patterns — understand common patterns used in software development — GeeksForGeeks Docker Concepts — familiarize yourself with containerization and orchestration — Udemy Kubernetes Basics — learn about deployment strategies and service management — YouTube AI Frameworks — review TensorFlow or PyTorch for machine learning applications — Coursera Round 3: Behavioral Interview Behavioral questions — practice using the STAR method to articulate past experiences — MindTools Team Collaboration — prepare to discuss how you work in diverse teams — GeeksForGeeks Technical Deep-Dive — be ready to explain your approach to a specific project or challenge — YouTube Timeline & Expectations The application to offer timeline typically spans 2-3 weeks , with prompt communication at each stage. Prepare thoroughly for each round, as the company values both technical expertise and cultural alignment. Expected Interview Questions for Systems Engineer – SDV & AI Infrastructure at Mercedes-Benz These questions are based on the role's actual tech stack and responsibilities. Technical Questions Explain how you would optimize a Python application for performance. What are the advantages of using Docker in a microservices architecture? How do you manage dependencies in a C++ project? Describe your experience with AI frameworks and their applications. What is the role of Kubernetes in managing containerized applications? How would you approach debugging a system-level issue in Linux? Behavioral Questions Describe a time you faced a technical challenge and how you resolved it. How do you prioritize tasks when working on multiple projects? Can you give an example of effective teamwork in a project? What motivates you to work in the technology sector? Role-Specific Questions What do you understand by software-defined vehicles? How would you validate the performance of an AI system in a vehicle? Discuss your approach to integrating edge-to-cloud platforms. Structure your answers using the STAR method to clearly convey your experiences and thought processes. Resume Tailoring & ATS Keywords for Systems Engineer – SDV & AI Infrastructure Optimizing your resume for ATS is crucial for standing out in the application process. ATS Keywords to Include Systems Engineer AI Infrastructure Software-Defined Vehicles Python C++ Docker Kubernetes ROS2 Linux AI frameworks Simulation Validation Edge-to-Cloud Integration Resume Tips for This Role Highlight relevant projects that demonstrate your skills in AI and software development. Emphasize teamwork and collaboration experiences, particularly in tech-related projects. Include links to your GitHub or portfolio showcasing your coding abilities. Optimize for ATS by using keywords from the job description. Avoid including unrelated work experiences that do not align with the role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or experiences that do not directly relate to the job description. About Mercedes-Benz Founded in 1926 , Mercedes-Benz is headquartered in Stuttgart, Germany , and has a significant presence in Bengaluru, Karnataka, India , employing thousands of individuals. With a global footprint in over 130 countries, the company has established itself as a leader in the automotive industry, particularly in luxury vehicles. The company is renowned for its luxury vehicles, including the Mercedes-Benz S-Class and EQ electric models , which showcase innovative technology and sustainability. Additionally, Mercedes-Benz invests heavily in research and development, focusing on advancements in autonomous driving and electric mobility. Mercedes-Benz has consistently received high ratings on Glassdoor, reflecting a culture that prioritizes innovation and collaboration. The company offers various employee programs, including leadership development and wellness initiatives, which contribute to its recognition as one of the best places to work in the automotive sector. Recently, Mercedes-Benz announced a significant investment in AI and SDV technologies, aiming to lead the digital transformation in the automotive industry. This initiative includes partnerships with tech firms and a commitment to enhancing its AI capabilities, ensuring the company remains at the forefront of automotive innovation. For freshers in technology, Mercedes-Benz provides unparalleled exposure to cutting-edge automotive technology, including AI frameworks and software development tools. This strong foundation equips new employees with the skills necessary for a successful career in a rapidly evolving industry. Why Join Mercedes-Benz as Systems Engineer – SDV & AI Infrastructure? Joining Mercedes-Benz as a Systems Engineer – SDV & AI Infrastructure offers a unique opportunity to work on groundbreaking technology in the automotive sector, particularly in AI and autonomous driving. Hands-on Experience — Gain practical skills with AI frameworks, enhancing your technical expertise in a rapidly growing field. Cloud Technology Proficiency — Work with Docker and Kubernetes , essential for modern software deployment and management in cloud environments. Career Advancement — After 1-2 years, transition into roles such as Senior Systems Engineer or AI Specialist, with clear pathways for growth. Collaborative Culture — Engage in teamwork across various departments, including software development and vehicle engineering, fostering innovation. Vibrant Lifestyle — Experience the dynamic tech community in Bengaluru , ideal for personal and professional growth. According to NexisGrow.com, the role of Systems Engineer – SDV & AI Infrastructure at Mercedes-Benz not only offers technical challenges but also positions you at the forefront of automotive innovation. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Systems Engineer – SDV & AI Infrastructure at Mercedes-Benz? Eligibility Tap to expand + Answer Candidates with Any Graduate and 1-5 years experience are eligible. Eligible batches: 2021, 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, C++, Rust, Docker, Kubernetes. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹12–22 LPA*. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Mercedes-Benz? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, C++, Rust, Docker, Kubernetes. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Systems Engineer – SDV & AI Infrastructure interview? Preparation Tap to expand + Answer (1) Core concepts of Python, C++, Rust, Docker, Kubernetes, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Mercedes-Benz research, (5) Clear communication. ? What is the work culture like at Mercedes-Benz? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs More jobs at Mercedes-Benz Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com