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The software developer will define and promote a long-term architectural strategy for automotive infotainment platforms, manage risk and lead the development team in implementing scalable, modular solutions. Responsibilities include supporting agile processes, customer demonstrations, mentoring team members, and managing technical communication with clients.

The Accountant will manage the preparation and analysis of the Annual Budget, review financial variances, coordinate management reports, handle audit queries, and streamline processes while participating in LEAN projects.

The Sr Software Engineer will design algorithms for automotive applications, focusing on advanced driver assistance systems and autonomous driving features. Responsibilities include developing mathematical models, collaborating with teams, validating algorithm performance, ensuring compliance with industry standards, and implementing CI/CD practices for software maturity and reliability.

The Software Architect will oversee the development of Infotainment products, focusing on Bluetooth and WiFi technologies across platforms such as Linux, QNX, and Android. Responsibilities include designing software architecture, analyzing requirements, and ensuring the creation of design documentation while collaborating with various stakeholders. Additional tasks include monitoring technology trends and managing customer and internal technical issues.

The Product Systems Function Owner UX will analyze stakeholder requirements, specify use cases and functions, and ensure all product specifications are maintained. Responsibilities include defining system functions, documenting requirements, coordinating system needs with teams, and participating in various system planning and testing activities.

Lead the architectural vision for infotainment systems, ensuring scalable and modular architecture while providing technical leadership and mentoring to the development team. Engage with customers for demos and manage technical communications while overseeing agile planning. Optimize Android applications and manage risks associated with architecture decisions.

The Senior MLOps Engineer will design and implement cloud solutions for ML applications, develop and manage CI/CD pipelines, and create data pipelines. They will oversee data science model lifecycle management and collaborate with multidisciplinary teams while documenting processes.