Custom Software Engineer

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 : Advanced Driver Assistance System Minimum 5 year(s) of experience is required Educational Qualification : A Bachelors or Masters degree in Electrical Engineering Computer Science Automotive is required Summary: The ideal candidate will have 4 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 Projects 2. Compliance & Safety: Ensure adherence to ISO 26262, ASPICE, and cybersecurity standards. 3. Stakeholder Collaboration: Align with OEMs, Tier-1 suppliers, and internal teams on technical and programming goals. 4. Cloud & V2X Integration: Support development of cloud-based vehicle data platforms and V2X communication strategies. 5. AI/ML Enablement: Integrate AI/ML for perception and decision-making, including GenAI for code generation, test automation, and documentation. 6. GenAI Accelerators: Utilize GenAI tools for requirements analysis, defect prediction, test case generation, and engineering knowledge reuse. Professional & Technical Skills: 1. 2 to 4 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 RTOS, 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, PREE vision, Functional Architecture 15. ISO 26262 (Functional Safety) experience is required 16. Experience on ASPICE process implementation. 17. ISO/SAE 21434 (Cybersecurity) Additional Information: - 1. The candidate should have minimum 5 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 Computer Science Automotive is required. A Bachelors or Masters degree in Electrical Engineering Computer Science Automotive is required Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.