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Job Description
Role & Responsibilities
The role requires an Entrepreneurial mindset person - The compensation shall be much better than normal but limited fixed component plus outcome based.
The role is to lead / own Advanced Automotive Systems Architecture / Pre-sales / Delivery covering
Software Defined Vehicle
Connected Cars
Autonomous Cars
Sensor Fusion
Smart Cockpit / Edge AI use cases
Responsibilities entail development of cutting-edge AI-powered applications for Software-Defined Vehicles (SDVs). Lead / Own building real-time perception, autonomous decision-making, and interactive AI systems that enhance in-vehicle intelligence, driver assistance, and passenger experiences.
Define end‑to‑end SDV architectures, system specifications, PRD/MRD documentation, and integration strategies.
Architect scalable platforms covering automotive-grade middleware, embedded OS, communications stacks, and hardware-software interfaces.
Lead the design, development, and deployment of Generative AI and Computer Vision models for SDV applications, including driver monitoring, object detection, autonomous navigation, and in-vehicle user experience.
5G NTN Integration: Architect connectivity solutions that leverage 3GPP LTE/5G standards for direct-to-satellite (NTN) communication, ensuring reliable data transfer in remote areas.
Connectivity & Telematics: Architect 4-Wheeler telematics control units (TCUs) to support 5G/LTE/eSIM/GNSS, ensuring secure OTA, FOTA, and data services.
Architect and train deep learning models for real-time perception, scene understanding, and multimodal AI applications (vision, NLP, speech).
Work closely with ADAS (Advanced Driver Assistance Systems), IoT, and embedded software teams to integrate AI-powered solutions into vehicle architectures.
Optimize AI models for real-time processing on automotive-grade edge hardware (NVIDIA, Qualcomm Snapdragon or similar).
Develop AI-powered human-vehicle interaction systems, including Drive Monitoring, and predictive user interfaces.
Stay ahead of the latest advancements in AI/ML, diffusion models, and self-supervised learning to push the boundaries of automotive AI applications.
Technical Skills:
You must have dealt with all kind of Silicon in the market including AI, 5G/NTN, FPGA, MCUs, DSPs and more.
Strong expertise in Deep Learning frameworks (TensorFlow, PyTorch, JAX).
Experience with Generative AI models (Stable Diffusion, GANs, NeRFs, or similar).
Proficiency in 3D Computer Vision (SLAM, depth estimation, sensor fusion).
Experience with transformer-based architectures, and multimodal AI.
Hands-on experience with embedded AI/Edge ML (NVIDIA Jetson, Qualcomm AI SDKs, TensorRT, OpenVINO).
Strong programming skills in Python, C++, CUDA, and ROS.
Experience with automotive data formats (CAN, ROS, OpenDRIVE, ASAM OpenSCENARIO).
Industry Knowledge: Understanding of ADAS, autonomous driving, digital twins, and SDV architectures.
Experience in AI-driven Digital Cockpit and next-gen HMI (Human-Machine Interface) applications.
Familiarity with 3D synthetic data generation for training AI models.
Strong understanding of real-time sensor fusion (LIDAR, CAN, DMS, IMU).
Experience working with Automotive OEMs and Tier 1 suppliers.
Experience with cloud-based AI training and edge-to-cloud inference architectures.
Broad domain experience from areas like media, radio, navigation, Wi-Fi, device mirroring (car play & android auto), voice control, Bluetooth, FOTA, e-Call etc.
Must have handled Hardware & Software for Advanced Automotive Systems.
Minimum experience: 22 years
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