Automotive ECU/Digital Cockpit

Program Leadership: Manage planning, execution, and delivery of ADAS programs across vehicle platforms.

2. System Engineering: Define system requirements and architecture for ADAS features such as lane keeping assistance, adaptive cruise control, and collision avoidance.

3. Sensor Fusion & Perception: Oversee development of algorithms using radar, LiDAR, and camera systems, leveraging NVIDIA DRIVE AGX and CUDA frameworks.

4. Validation & Testing: Lead simulation and real-world testing using NVIDIA Omniverse Replicator and Drive Sim for synthetic data generation and scenario validation.

5. Compliance & Safety: Ensure adherence to ISO 26262, ASPICE, and cybersecurity standards.

6. Stakeholder Collaboration: Align with OEMs, Tier-1 suppliers, and internal teams on technical and programming goals.

7. Cloud & V2X Integration: Support development of cloud-based vehicle data platforms and V2X communication strategies.

8. Model-Based Development: Promote use of AUTOSAR and model-based design tools for scalable ADAS solutions.

9. AI/ML Enablement: Integrate AI/ML for perception and decision-making, including GenAI for code generation, test automation, and documentation.

10. GenAI Accelerators: Utilize GenAI tools for requirements analysis, defect prediction, test case generation, and engineering knowledge reuse.

11. Client Engagements: Represent the organization in customer discussions and technical workshops.

12. Vendor Coordination: Manage vendor relationships to ensure timely and quality delivery.

13. Onsite-Offshore Coordination: Lead distributed teams across geographies for seamless collaboration.

14. Quality Assurance: Implement validation frameworks using NVIDIA Isaac Sim and GenAI-powered analytics.

15. Team Development: Mentor engineers and domain experts in ADAS systems.

16. Solutioning: Drive end-to-end solutioning for ADAS systems, integrating technical feasibility with business value.

Professional & Technical Skills:

1. Years of experience in ADAS or autonomous driving technologies.

2. Strong knowledge of embedded systems, real-time software, and automotive communication protocols (CAN, LIN, Ethernet).

3. Experience with MATLAB/Simulink, ROS, ADTF, AUTOSAR, and NVIDIA DRIVE SDK.

4. Familiarity with ISO 26262, ASPICE, and ISO/SAE 21434 standards.

5. Experience in cloud connectivity and V2X communication.

6. Experience with AI/ML for perception and decision-making.

7. Exposure to global automotive markets and regulatory environments.

8. Hands-on experience with NVIDIA Omniverse, Isaac Sim, and GenAI engineering tools.

9. Knowledge of model-based development and simulation frameworks.

10. ADAS & Autonomous Systems: Lane keeping, adaptive cruise, collision avoidance, RADAR, LiDAR, camera-based perception.

11. Vehicle Architectures: E/E Architecture, Zonal ECUs.

12. Communication Protocols: CAN, LIN, Ethernet, UDS, DOIP.

13. Tools & Simulation: CANoe, MATLAB/Simulink, NVIDIA Omniverse, Isaac Sim.

14. System Design & Modeling: AUTOSAR, PREEvision, Functional Architecture

15. ISO 26262 (Functional Safety)

16. ASPICE

17. ISO/SAE 21434 (Cybersecurity)

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