Drive innovation as a Custom Software Engineer, crafting tailored software solutions. You will be instrumental in designing, coding, and enhancing system components, leveraging modern frameworks and agile methodologies to deliver scalable and high-performance applications. This role focuses on meeting specific business requirements with precision and efficiency.

Ideal candidates possess substantial experience in embedded systems, real-time software development, and a strong understanding of automotive safety standards. Hands-on exposure to NVIDIA DRIVE platforms and Gen-AI engineering accelerators is highly valued. We are seeking individuals who can contribute to cutting-edge automotive projects.

Support software development for ADAS projects, ensuring compliance with ISO 26262, ASPICE, and cybersecurity standards. Collaborate with stakeholders, including OEMs, Tier-1 suppliers, and internal teams, to align on technical objectives. Contribute to the development of cloud-based vehicle data platforms and V2X communication strategies. Integrate AI/ML for perception and decision-making, utilizing GenAI for code generation, test automation, and documentation. Leverage GenAI tools for requirements analysis, defect prediction, test case generation, and knowledge reuse.

A minimum of 2 to 4 years of experience in ADAS or autonomous driving technologies is required, along with a strong grasp of embedded systems, real-time software, and automotive communication protocols such as CAN, LIN, and Ethernet. Proficiency in RTOS, ADTF, AUTOSAR, and NVIDIA DRIVE SDK is essential. Familiarity with ISO 26262, ASPICE, and ISO/SAE 21434 standards, coupled with experience in cloud connectivity and V2X communication, is necessary. Exposure to global automotive markets and regulatory environments is advantageous. Experience with model-based development and simulation frameworks is beneficial.