Automotive ECU Software

Role & responsibilities

1. 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: