Develop cutting-edge custom software solutions by designing, coding, and enhancing components across diverse systems and applications. Leverage modern frameworks and agile methodologies to deliver scalable, high-performance solutions precisely tailored to meet unique business requirements.

This role focuses on driving innovation in automotive software, with a particular emphasis on Advanced Driver Assistance Systems (ADAS) and future autonomous driving technologies. You will be instrumental in developing software that adheres to stringent automotive standards and integrates the latest advancements in AI and cloud technologies.

Spearhead software development initiatives for ADAS projects, ensuring strict compliance with ISO 26262, ASPICE, and cybersecurity standards.

Foster seamless collaboration with OEMs, Tier-1 suppliers, and internal teams to align technical roadmaps and programming objectives.

Contribute to the development of robust cloud-based vehicle data platforms and V2X communication strategies.

Integrate advanced AI/ML capabilities for enhanced perception and decision-making, including the application of GenAI for efficient code generation, automated testing, and streamlined documentation.

Utilize GenAI accelerators to optimize requirements analysis, predict defects, generate test cases, and promote the reuse of engineering knowledge.

A minimum of 2 to 4 years of hands-on experience in ADAS or autonomous driving technologies is essential.

Possess strong expertise in embedded systems, real-time software development, and automotive communication protocols such as CAN, LIN, and Ethernet.

Demonstrate practical experience with RTOS, ADTF, AUTOSAR, and the NVIDIA DRIVE SDK.

Familiarity with critical automotive standards including ISO 26262, ASPICE, and ISO/SAE 21434 is required.

Experience in cloud connectivity and V2X communication is necessary.

Candidates should have experience with AI/ML applied to perception and decision-making.

Exposure to global automotive markets and their regulatory environments is beneficial.

Proven hands-on experience with NVIDIA Omniverse, Isaac Sim, and GenAI engineering tools is highly valued.

Understanding of model-based development and simulation frameworks is expected.

Knowledge of specific ADAS & Autonomous Systems like lane keeping, adaptive cruise control, and collision avoidance, as well as RADAR, LiDAR, and camera-based perception systems is important.

Familiarity with Vehicle Architectures including E/E Architecture and Zonal ECUs is required.

Proficiency in Communication Protocols like CAN, LIN, Ethernet, UDS, and DOIP is needed.

Experience with Tools & Simulation such as CANoe, MATLAB/Simulink, NVIDIA Omniverse, and Isaac Sim is expected.

Understanding of System Design & Modeling, including AUTOSAR, PREEvision, and Functional Architecture, is necessary.

Direct experience with ISO 26262 (Functional Safety) and ASPICE process implementation is mandatory.

Familiarity with ISO/SAE 21434 (Cybersecurity) is required.