Software Development Lead
Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity.
Must have skills : Automotive ECU Software
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : Bachelors or Masters degree in Electrical Engineering Computer Science Automotive
Summary: We are seeking a skilled delivery-focused Project/Program Manager to lead ADAS engineering initiatives across multiple vehicle platforms. This role involves managing end-to-end delivery of ADAS features, driving innovation in sensor fusion and perception systems, and collaborating with OEMs, Tier-1 suppliers, and internal teams. The ideal candidate will have 8–14 years of experience in embedded systems, real-time software, and automotive safety standards, with hands-on exposure to NVIDIA DRIVE platforms and Gen-AI engineering accelerators Roles & 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: 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) Additional Information: - The candidate should have minimum 8 years of experience in Automotive ECU Software. - This position is based at our Bengaluru office. - A Bachelors or Masters degree in Electrical Engineering Computer Science Automotive is required.
Bengaluru
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