Join our team as a Custom Software Engineer to architect, develop, and refine software components across various systems. You'll leverage modern frameworks and agile methodologies to create robust, high-performance solutions that precisely meet unique business requirements.

This role is ideal for an experienced engineer with a strong background in embedded systems, real-time software, and automotive safety. Hands-on experience with NVIDIA DRIVE platforms and Gen-AI accelerators is highly valued.

Key responsibilities include supporting software development for ADAS projects, ensuring compliance with ISO 26262, ASPICE, and cybersecurity standards. You will collaborate with stakeholders to align technical and programming goals, and contribute to the development of cloud-based vehicle data platforms and V2X communication strategies. Integration of AI/ML for perception and decision-making, including GenAI for code generation and testing, is also a core aspect of this role.

Furthermore, you'll utilize GenAI tools for requirements analysis, defect prediction, test case generation, and knowledge reuse.

A minimum of 2-4 years of experience in ADAS or autonomous driving is essential, along with a strong understanding of embedded systems, real-time software, and automotive communication protocols like CAN, LIN, and Ethernet. Proficiency in RTOS, ADTF, AUTOSAR, and NVIDIA DRIVE SDK is required. Familiarity with ISO 26262, ASPICE, and ISO/SAE 21434 standards, along with experience in cloud connectivity and V2X communication, is necessary.

Candidates should also have experience with AI/ML for perception and decision-making, exposure to global automotive markets, and hands-on experience with NVIDIA Omniverse, Isaac Sim, and GenAI engineering tools. Knowledge of model-based development and simulation frameworks is beneficial. Experience with ISO 26262 (Functional Safety) and ASPICE process implementation is mandatory.