Develop and enhance custom software solutions, coding and designing components across various systems and applications. Utilize modern frameworks and agile methodologies to deliver scalable, high-performance solutions tailored to specific business requirements. This role offers an exciting opportunity to work with cutting-edge technologies in the automotive sector.

We are seeking a skilled Custom Software Engineer to contribute to the development of advanced automotive systems. The ideal candidate will possess a strong background in embedded systems and real-time software, with a focus on automotive safety standards and emerging AI technologies. Join our dynamic team and help shape the future of automotive innovation.

Support software development for ADAS projects, ensuring compliance with ISO 26262, ASPICE, and cybersecurity standards. Collaborate with OEMs, Tier-1 suppliers, and internal teams to align technical and programming goals. Drive the development of cloud-based vehicle data platforms and V2X communication strategies. Integrate AI/ML for enhanced perception and decision-making, leveraging GenAI for code generation, test automation, and documentation. Utilize GenAI accelerators for requirements analysis, defect prediction, and engineering knowledge reuse.

Requires 2-4 years of experience in ADAS or autonomous driving technologies, coupled with a deep understanding of embedded systems, real-time software, and automotive communication protocols (CAN, LIN, Ethernet). Proficiency with RTOS, ADTF, AUTOSAR, and NVIDIA DRIVE SDK is essential. Familiarity with ISO 26262, ASPICE, and ISO/SAE 21434 standards is expected. Experience in cloud connectivity, V2X communication, and AI/ML for perception and decision-making is required. Hands-on experience with NVIDIA Omniverse, Isaac Sim, and GenAI engineering tools is a significant advantage. Knowledge of model-based development and simulation frameworks, along with experience in functional safety and ASPICE process implementation, is crucial.