Responsibilities:

• Framework Implementation: Implement and integrate ML programming framework on embedded platforms and multi-core architectures.
• Integration: Integrate embedded applications and algorithm libraries both pre and post silicon into software stack.
• System Integration: Perform system-level integration and validation for heterogeneous platforms including DSPs and accelerators.
• Algorithm Integration: Integrate state-of-the-art ML algorithms for automotive domain, such as driver identification, predictive maintenance.
• Model Deployment: Deploy and integrate models on resource-constrained embedded systems.

Required Skills:

• Processor Knowledge: Good knowledge of processor architecture and micro-architecture (e.g., SIMD/GPGPU/NEON).
• Software Integration: 3+ years of hands-on experience in software integration and development on complex embedded computing platforms.
• Mathematical Background: Good understanding of how algorithms work, such as image processing or neural networks.
• Programming Languages: Proficiency in C and C++.