Software Developer, Embedded AI / ML Platform

Key Responsibilities :

• Develop, implement, and maintain low-level software platform modules for in-vehicle embedded devices, specifically targeting NPU and other accelerator integration.
• Design and implement software for efficient deployment, loading, and execution of AI / ML models (including GenAI) on embedded hardware accelerators.
• Optimize models for real-time performance, memory footprint, and power consumption on constrained embedded systems.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Write clean, efficient, and well-documented code following best practices.
• Participate in code reviews and contribute to team knowledge sharing.
• Debug and troubleshoot issues in existing applications.
• Stay updated with the latest industry trends and technologies related to AI / ML and C++ standards for embedded systems.

Qualifications :

Basic Requirements & Education :

Preferred Skills :

Skills Required

Embedded Systems