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 2 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. Solid 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, PREEvision, 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 2 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

📌 Custom Software Engineer (Pune)
🏢 Accenture
📍 Pune