
MTS Software System Design Eng
- Bangalore, Karnataka
- Permanent
- Full-time
We are seeking a highly skilled AI/ML Development Engineer with deep expertise in cutting-edge AI and machine learning algorithms and inference workloads. The ideal candidate will have comprehensive experience across key embedded domains including computer vision, voice recognition, and generative AI leveraging large language models (LLMs).Key Responsibilities:Design, develop, and optimize AI/ML models and inference pipelines tailored for embedded systems.Implement and integrate AI/ML model operators and kernels on popular hardware accelerators such as GPUs and NPUs.Perform model quantization and apply other efficient inference techniques to maximize performance and resource utilization on embedded platforms.Deliver end-to-end AI solutions including deployment, performance profiling, and debugging for customer-specific applications.Collaborate closely with cross-functional teams to resolve technical issues and optimize AI workloads in real-time embedded environments.Develop and maintain software primarily on Linux platforms, utilizing standard AI frameworks such as ONNX Runtime and AMD ROCm.Qualifications:In-depth knowledge of state-of-the-art AI/ML algorithms and inference workloads, with a strong focus on embedded applications.Proven experience with AI/ML model operators and kernel development on hardware accelerators including GPUs and NPUs.Hands-on expertise in model quantization and efficient inference methods for resource-constrained embedded systems.Solid experience with Linux-based software development, real-time embedded systems, and AI frameworks like ONNX Runtime and AMD ROCm.Strong problem-solving skills and ability to troubleshoot and resolve customer-specific AI/ML deployment issues.Preferred:Experience with computer vision, voice recognition, and generative AI (LLMs) applications.Familiarity with performance profiling and optimization tools for embedded AI workloadsACADEMIC CREDENTIALS:
- Bachelor’s or Master's degree in Computer or Electrical Engineering or equivalent