Software Development Lead

 About The Role  

Project Role :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 :NAMinimum
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 valueProfessional & Technical Skills:

1.1520 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. Qualification 
Bachelors or masters degree in Electrical Engineering or Computer Science or Automotive Engineering or related field