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 15 year(s) of experience is required
Educational Qualification : Bachelors or masters degree in Electrical Engineering or Computer Science or Automotive Engineering or related field
Summary: As a Software Development Lead, you will be responsible for developing and configuring software systems, either end-to-end or for specific stages of the product lifecycle. Your typical day will involve collaborating with cross-functional teams, applying your expertise in various technologies and methodologies, and ensuring that the software solutions meet the project requirements and client expectations. You will engage in problem-solving activities, contribute to key decisions, and guide your team in delivering high-quality software products that align with industry standards and best practices. Roles & Responsibilities: 1. Program Leadership: Manage end-to-end ADAS programs including planning, execution, and delivery across multiple vehicle platforms. 2. System Engineering: Define system requirements, architecture, and integration strategies for ADAS features such as lane keeping assist, adaptive cruise control, and collision avoidance. 3. Sensor Fusion & Perception: Oversee development of algorithms for sensor fusion using radar, LiDAR, and camera systems, leveraging NVIDIA DRIVE AGX and CUDA-accelerated frameworks. 4. Validation & Testing: Lead simulation and real-world testing efforts using NVIDIA Omniverse Replicator and Drive Sim for synthetic data generation and scenario validation. 5. Compliance & Safety: Ensure adherence to automotive safety standards including ISO 26262 and ASPICE. 6. Stakeholder Collaboration: Work closely with OEMs, Tier-1 suppliers, and internal engineering teams to align on technical and program goals. 7. Cloud & V2X Integration: Support development of cloud-based vehicle data platforms and V2X communication strategies for enhanced situational awareness and connectivity. 8. Model-Based Development: Promote use of AUTOSAR and model-based design tools for scalable and maintainable ADAS solutions. 9. AI/ML Enablement: Encourage integration of AI/ML for advanced perception and decision-making capabilities, including GenAI for code generation, test case automation, and documentation. 10. GenAI Accelerators: Utilize GenAI tools for: Automated requirements analysis and traceability, Intelligent defect prediction and resolution, Natural language-based test case generation, Engineering knowledge management and reuse. 11. Client-Facing Engagements: Represent the organization in customer discussions, technical workshops, and solution presentations to align technology offerings with client needs. 12. Vendor/Supplier Coordination: Manage relationships with external vendors and suppliers to ensure timely delivery, quality compliance, and integration readiness. 13. Onsite-Offshore Coordination: Lead distributed teams across geographies, ensuring seamless collaboration, delivery alignment, and knowledge sharing. 14. Quality Assurance: Implement robust validation frameworks using NVIDIA Isaac Sim and GenAI-powered analytics. 15. Team Development: Build and mentor a high-performing team of 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. 15–20 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 tools such as MATLAB/Simulink, ROS, ADTF, AUTOSAR, and NVIDIA DRIVE SDK. 4. Proven track record in managing large-scale automotive programs. 5. Familiarity with safety-critical systems and functional safety standards (ISO 26262, ASPICE). 6. Experience in cloud connectivity and V2X communication. 7. Experience with AI/ML for perception and decision-making. 8. Exposure to global automotive markets and regulatory environments. 9. Knowledge of model-based development and simulation frameworks. 10. Hands-on experience with NVIDIA Omniverse, Isaac Sim, and GenAI engineering tools. Additional Information: 1. The candidate should have minimum 15 years of experience in Automotive ECU Software. 2. This position is based at our Bengaluru office. 3. A Bachelors or masters degree in Electrical Engineering or Computer Science or Automotive Engineering or related field is required.
Bengaluru
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