Software Engineer, AI Engineer (Applied​/Software), Cloud Engineer - Software

Description

Support the development and deployment of next-generation software solutions in the areas of Generative AI, Physical AI, Cloud Computing, and Embedded Systems. The position will contribute to the design, implementation, testing, and integration of software products while collaborating with multidisciplinary engineering teams. The engineer is expected to continuously develop technical skills and actively participate in innovation initiatives supporting automotive and intelligent mobility applications.

• Develop software applications and services using modern programming languages and development frameworks.
• Support the development and deployment of Generative AI solutions, including AI assistants, intelligent automation tools, and machine learning applications.
• Contribute to Physical AI projects involving robotics, autonomous systems, digital twins, simulation environments, and sensor-based applications.
• Develop and maintain cloud-native applications and services on platforms such as Microsoft Azure, AWS, or Google Cloud.
• Support embedded software development activities for automotive and edge-computing systems when required.
• Participate in software architecture design, coding, unit testing, debugging, and validation activities.
• Collaborate with systems, software, data, and hardware engineers to deliver integrated solutions.
• Develop APIs, data processing pipelines, and software tools to support engineering projects.
• Participate in code reviews and ensure compliance with software quality standards.
• Document software designs, technical solutions, and development activities.
• Stay current with emerging technologies in AI, cloud computing, and software engineering.

Requirements

• Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or a related technical field.
• 0-3 years of software development experience.
• Academic, internship, capstone project, or personal project experience in software development is acceptable.
• Experience in one or more programming languages such as Python, C++, C#, Java, or JavaScript.
• Exposure to embedded software development, Linux, RTOS, or automotive software development is considered an advantage.
• Strong analytical, problem-solving, and communication skills.
• Self-motivated with a willingness to learn new technologies and work in fast-paced engineering environments.
• Solid understanding of software engineering fundamentals, algorithms, and object-oriented programming.
• Knowledge of AI/ML concepts and interest in Generative AI technologies.
• Familiarity with cloud platforms (Azure preferred).
• Understanding of software development lifecycle and Agile methodologies.
• Experience with Git or similar version control tools.