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 : NA Minimum 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: Support Software development for ADAS Projects

Program Leadership: Manage planning, execution, and delivery of ADAS programs across vehicle platforms.

System Engineering: Define system requirements and architecture for ADAS features such as lane keeping assistance, adaptive cruise control, and collision avoidance.

Sensor Fusion & Perception: Oversee development of algorithms using radar, LiDAR, and camera systems, leveragingADAS SOC framework.

Validation & Testing:



Lead simulation and real-world testing using for synthetic data generation and scenario validation.

Compliance & Safety: Ensure adherence to ISO 26262, ASPICE, and cybersecurity standards.

Stakeholder Collaboration: Align with OEMs, Tier-1 suppliers, and internal teams on technical and programming goals.

Cloud & V2X Integration: Support development of cloud-based vehicle data platforms and V2X communication strategies.

Model-Based Development: Promote use of AUTOSAR and model-based design tools for scalable ADAS solutions.

AI/ML Enablement: Integrate AI/ML for perception and decision-making, including GenAI for code generation, test automation, and documentation.

GenAI Accelerators: Utilize GenAI tools for requirements analysis, defect prediction, test case generation, and engineering knowledge reuse.

Client Engagements: Represent the organization in customer discussions and technical workshops.

Vendor Coordination: Manage vendor relationships to ensure timely and quality delivery.

Onsite-Offshore Coordination: Lead distributed teams across geographies for seamless collaboration.

Quality Assurance: Implement validation frameworks using NVIDIA Isaac Sim and GenAI-powered analytics.

Team Development:



Mentor engineers and domain experts in ADAS systems.

Solutioning: Drive end-to-end solutioning for ADAS systems, integrating technical feasibility with business value Skilled & Technical Skills: Years of experience in ADAS or autonomous driving technologies.

Strong knowledge of embedded systems, real-time software, and automotive communication protocols (CAN, LIN, Ethernet).

Experience with MATLAB/Simulink, ROS, ADTF, AUTOSAR, and NVIDIA DRIVE SDK.

Familiarity with ISO 26262, ASPICE, and ISO/SAE 21434 standards.

Experience in cloud connectivity and V2X communication.

Experience with AI/ML for perception and decision-making.

Exposure to global automotive markets and regulatory environments.

Hands-on experience with NVIDIA Omniverse, Isaac Sim, and GenAI engineering tools.

Knowledge of model-based development and simulation frameworks.

ADAS & Autonomous Systems: Lane keeping, adaptive cruise, collision avoidance, RADAR, LiDAR, camera-based perception.

Vehicle Architectures: E/E Architecture, Zonal ECUs.

Communication Protocols: CAN, LIN, Ethernet, UDS, DOIP.

Tools & Simulation: CANoe, MATLAB/Simulink, NVIDIA Omniverse, Isaac Sim.

System Design & Modeling: AUTOSAR, PREEvision, Functional Architecture

ISO 26262 (Functional Safety)

ASPICE

ISO/SAE 21434 (Cybersecurity) Additional Information: 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.

📌 Custom Software Engineer (Bengaluru)
🏢 Accenture in India
📍 Bengaluru