Systems Engineer – Software-Defined Vehicles & AI Infrastructure

Role Overview

We are seeking a high-caliber Young Professional with 1–5 years of experience to join our development team. This role focuses on system stewardship, AI orchestration, and edge-to-cloud architecture, bridging cloud-native software and safety-critical automotive systems.

We value proven capability demonstrated through production-grade proof-of-concepts, personal engineering portfolios, or contributions to relevant open-source repositories.

Core Responsibilities

• AI Orchestration & Supervision: Design and deploy multi-agent AI workflows to automate engineering processes, and review, benchmark, and validate AI-generated code for security flaws.
• Prototype & System Integration: Build, test, and scale functional proof-of-concepts linking automotive hardware or simulators to high-throughput cloud endpoints.
• Edge Data & Telemetry Tracking: Configure, manage, and scale telemetry pipelines to capture, trace, and monitor live simulation data from connected vehicle components.
• Simulation Testing & Validation: Run autonomous driving and sensor-fusion algorithms through virtual Hardware-in-the-Loop and Software-in-the-Loop simulation environments.

Qualifications and Skills

• 1 to 5 years of professional software engineering experience, ideally in fast-paced technology startups, R&D labs, or innovative automotive groups.
• Preferred exposure to at least two of the following: open-source contributions in AI, robotics, or cloud-native domains; personal proof-of-concepts or system architectures demonstrating multi-agent AI orchestration; or software connecting physical edge hardware to cloud environments.
• Strong fundamentals in Rust or Modern C++ (17/20/23), alongside Python for scripts and data pipelines.
• Hands-on experience with LLM frameworks such as LangChain/LangGraph or CrewAI/AutoGen, or with vector databases.
• Practical experience with ROS 2, Linux or Real-Time Linux environments, or basic AUTOSAR concepts.
• Working knowledge of Docker/Kubernetes, CI/CD automation pipelines, and observability tools such as OpenTelemetry.
• Bachelor’s or Master’s degree in Computer Science, Robotics, Embedded Systems, Electrical Engineering, or a strongly quantitative field.
• High learnability and curiosity, rigorous analytical skepticism, and system-level thinking.

Benefits

Benefits may include employee discounts, health benefits, mobile phone support, meal discounts, company retirement benefits, hybrid work, mobility offers, employee events, coaching, flextime, parking, an in-house doctor, good public transport, a barrier-free workplace, near-site childcare, and a canteen or café.

Contact

Mercedes-Benz Research and Development India Private Limited
Brigade Tech Gardens, Katha No. 119560037, Bengaluru
MBRDI Recruitment E-Mail: mbrdi_recruitment@mercedes-benz.com