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    Home/Jobs/Systems Engineer – Software-Defined Vehicles & AI Infrastructure

    Systems Engineer – Software-Defined Vehicles & AI Infrastructure

    Mercedes-Benz Group

    Bengaluru
    1-5 years
    Today
    ₹8–19 LPA
    Full-time
    Hybrid

    Skills Required

    LLM
    LangChain
    Vector Database
    LangGraph
    CrewAI
    AutoGen
    AI orchestration
    edge-to-cloud architecture
    telemetry pipelines
    Hardware-in-the-Loop
    Software-in-the-Loop
    Rust
    Modern C++
    Python
    ROS 2

    Description

    Seeking a Systems Engineer with 1-5 years experience to work on software-defined vehicles and AI infrastructure, bridging cloud-native software and safety-critical automotive systems.

    Company: Mercedes-Benz Research and Development India Private Limited

    Role: Systems Engineer – Software-Defined Vehicles & AI Infrastructure

    Location: Bangalore

    Experience:

    • 1 to 5 years of professional software engineering experience

    Qualification:

    • Bachelor’s or Master’s degree in Computer Science
    • Bachelor’s or Master’s degree in Robotics
    • Bachelor’s or Master’s degree in Embedded Systems
    • Bachelor’s or Master’s degree in Electrical Engineering
    • Bachelor’s or Master’s degree in a heavily quantitative field

    Responsibilities:

    • Design and deploy multi-agent AI workflows to automate engineering processes
    • Review, benchmark, and validate AI-generated code for security flaws
    • Build, test, and scale functional POCs linking automotive hardware/simulators to cloud endpoints
    • Configure, manage, and scale telemetry pipelines for live simulation data
    • Run autonomous driving and sensor-fusion algorithms through HIL and SIL simulation environments

    Additional responsibilities:

    • Act as technical supervisor for AI orchestration
    • Bridge gap between cloud-native software and safety-critical automotive systems

    Nice to have:

    • Code contributions to open-source repositories in AI, robotics, or cloud-native domains
    • Personal POCs or system architectures demonstrating multi-agent AI orchestrations
    • Experience building or launching software connecting physical edge hardware to cloud

    More skills:

    Modern C++ (17/20/23), LLM frameworks (LangChain, LangGraph, CrewAI, AutoGen), Linux, Real-Time Linux, AUTOSAR concepts, Docker, Kubernetes, CI/CD automation pipelines, OpenTelemetry

    Other:

    • Mitarbeiterrabatte möglich (employee discounts)
    • Gesundheitsmaßnahmen (health measures)
    • Mitarbeiterhandy möglich (company phone possible)
    • Essenszulagen (meal allowances)
    • Betriebliche Altersversorgung (company pension scheme)
    • Hybrides Arbeiten möglich (hybrid work possible)
    • Mobilitätsangebote (mobility offers)
    • Mitarbeiter Events (employee events)
    • Coaching
    • Flexible Arbeitszeit möglich (flexible working hours)
    • Parkplatz (parking)
    • Betriebsarzt (company doctor)
    • Gute Anbindung (good connectivity)
    • Barrierefreiheit (accessibility)
    • Kinderbetreuung (childcare)
    • Kantine, Café (canteen, café)

    Prepare for this role

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    Python for Everybody Specialization

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    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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