Experience
5 - 10 yrs
Salary (CTC)
₹8L - ₹8.8L
Job Location
Bengaluru, India
Vacancy
1
Designation
Software Engineer
Job Type
ONSITE
Job Description
Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Automotive ECU Software
Good to have skills : NAMinimum
2 year(s) of experience is required
Educational Qualification : A Bachelors or Masters degree in Electrical Engineering Computer Science Automotive is required
Summary: We are seeking a skilled delivery-focused Projector 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 to 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. Support Software development for ADAS Projects2.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, leveragingADAS SOC framework.4. Validation Testing: Lead simulation and real-world testing using 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 Architecture15. ISO 26262 (Functional Safety)16. ASPICE17. ISO/SAE 21434 (Cybersecurity) The candidate should have minimum 5 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.
Qualification A Bachelors or Masters degree in Electrical Engineering Computer Science Automotive is required
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Automotive ECU Software
Good to have skills : NAMinimum
2 year(s) of experience is required
Educational Qualification : A Bachelors or Masters degree in Electrical Engineering Computer Science Automotive is required
Summary: We are seeking a skilled delivery-focused Projector 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 to 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. Support Software development for ADAS Projects2.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, leveragingADAS SOC framework.4. Validation Testing: Lead simulation and real-world testing using 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 Architecture15. ISO 26262 (Functional Safety)16. ASPICE17. ISO/SAE 21434 (Cybersecurity)
Qualification A Bachelors or Masters degree in Electrical Engineering Computer Science Automotive is required
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