Develop and enhance custom software solutions, crafting scalable and high-performing components for diverse systems. This role emphasizes modern frameworks and agile methodologies to meet specific business requirements, focusing on cutting-edge automotive technologies.

Experience is sought in embedded systems, real-time software development, and adherence to stringent automotive safety standards. A solid understanding of NVIDIA DRIVE platforms and the application of Gen-AI in engineering is highly valued.

Support software development initiatives for Advanced Driver Assistance Systems (ADAS) projects. Ensure compliance with automotive standards such as ISO 26262, ASPICE, and cybersecurity regulations. Collaborate effectively with OEMs, Tier-1 suppliers, and internal teams to align technical and programming objectives.

Contribute to the development of cloud-based vehicle data platforms and V2X communication strategies. Integrate AI/ML capabilities for perception and decision-making, leveraging GenAI for code generation, test automation, and documentation. Utilize GenAI tools for advanced tasks like requirements analysis, defect prediction, and engineering knowledge reuse.

A minimum of 2 to 4 years of professional experience in ADAS or autonomous driving technologies is essential. Proficiency in embedded systems, real-time software, and automotive communication protocols including CAN, LIN, and Ethernet is required.

Candidates should possess experience with RTOS, ADTF, AUTOSAR, and the NVIDIA DRIVE SDK. Familiarity with ISO 26262, ASPICE, and ISO/SAE 21434 standards is crucial, along with experience in cloud connectivity and V2X communication.

Demonstrated experience with AI/ML for perception and decision-making is expected, alongside exposure to global automotive markets. Hands-on engagement with NVIDIA Omniverse, Isaac Sim, and GenAI engineering tools is a significant advantage. A Bachelor's or Master's degree in Electrical Engineering, Computer Science, or Automotive fields is mandatory.