Join our team as a Custom Software Engineer to craft innovative software solutions. You will design, code, and enhance system components, leveraging modern frameworks and agile methodologies to deliver scalable, high-performance applications. This role is crucial in developing tailored solutions that meet specific business needs, particularly within the automotive sector.

We are seeking individuals with a strong background in developing custom software, with a focus on creating robust and efficient systems. Your contributions will directly impact the evolution of our software offerings and client solutions, ensuring we remain at the forefront of technological advancement. Embrace agile practices and modern development tools to build exceptional software.

Support the 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 on technical and programming objectives. Develop cloud-based vehicle data platforms and V2X communication strategies. Integrate AI/ML for perception and decision-making, including GenAI for enhanced code generation, test automation, and documentation. Utilize GenAI accelerators for efficient requirements analysis, defect prediction, test case generation, and knowledge reuse.

Key activities include: - Driving software development for ADAS initiatives. - Upholding stringent compliance and safety standards. - Fostering collaboration across stakeholder groups. - Innovating with cloud and V2X technologies. - Implementing advanced AI/ML capabilities. - Leveraging GenAI for streamlined engineering processes.

A Bachelor's or Master's degree in Electrical Engineering, Computer Science, or Automotive is required. Candidates should possess a minimum of 4 years of experience in Automotive ECU Software development, with a strong foundation in embedded systems, real-time software, and automotive safety standards. Experience with NVIDIA DRIVE platforms and Gen-AI engineering tools is essential. Familiarity with modern frameworks and agile practices is expected, alongside the ability to deliver scalable, high-performing solutions tailored to specific business needs.

Ideal qualifications include: - 4 to 5 years of experience in ADAS or autonomous driving technologies. - Proficiency in embedded systems, real-time software, and automotive communication protocols (CAN, LIN, Ethernet). - Experience with RTOS, ADTF, AUTOSAR, and NVIDIA DRIVE SDK. - Knowledge of ISO 26262, ASPICE, and ISO/SAE 21434 standards. - Experience in cloud connectivity and V2X communication. - Hands-on experience with NVIDIA Omniverse, Isaac Sim, and GenAI engineering tools. - Expertise in ADAS & Autonomous Systems, Vehicle Architectures, Communication Protocols, and Tools & Simulation.