Join our team as a Custom Software Engineer to craft innovative software solutions. You will be instrumental in designing, coding, and refining system and application components. Utilizing modern frameworks and agile methodologies, you'll deliver robust, high-performance solutions designed for scalability and tailored to unique business requirements.

This role offers the opportunity to work on cutting-edge automotive projects, including Advanced Driver Assistance Systems (ADAS) and the integration of AI/ML technologies. You will collaborate with global teams and contribute to the future of automotive software development.

Key responsibilities include supporting software development for ADAS projects and ensuring compliance with ISO 26262, ASPICE, and cybersecurity standards. You will collaborate with OEMs, Tier-1 suppliers, and internal teams to align technical and programming goals. The role also involves supporting the development of cloud-based vehicle data platforms, V2X communication strategies, and integrating AI/ML for perception and decision-making, including leveraging GenAI for code generation and test automation.

You'll utilize GenAI tools for requirement analysis, defect prediction, test case generation, and engineering knowledge reuse. This position requires hands-on experience with NVIDIA DRIVE platforms and Gen-AI engineering accelerators to drive innovation and efficiency.

We are seeking candidates with a minimum of 3 years of experience in Automotive ECU Software, with a preference for 4 to 5 years in ADAS or autonomous driving technologies. A strong understanding of embedded systems, real-time software, and automotive communication protocols like CAN, LIN, and Ethernet is essential. Experience with RTOS, ADTF, AUTOSAR, and NVIDIA DRIVE SDK is required, alongside familiarity with ISO 26262, ASPICE, and ISO/SAE 21434 standards.

Candidates should possess experience in cloud connectivity, V2X communication, and 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 are highly valued. A Bachelors or Masters degree in Electrical Engineering, Computer Science, or Automotive is mandatory. Experience with model-based development, simulation frameworks, and a solid grasp of vehicle architectures, communication protocols, and system design are crucial for success in this role.