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:

• Bachelor's degree or similar in Computer Science, Software Engineering, or a related field.
• Minimum of 2+ years of professional experience in C/C++ programming, including embedded systems development.
• Proven experience with low-level programming and direct hardware interaction.
• Strong problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Excellent communication skills, both verbal and written.

Preferred Skills:

• Understanding of AI/ML concepts and exposure to AI frameworks (e.g., LiteRT, ONNX Runtime, Executorch, or similar embedded inference engines).
• Experience with version control systems (e.g., Git).
• Experience in deep learning.