AI Acceleration Engineer
1 month ago
AI Acceleration Engineer
At Career Makers, we are seeking a highly skilled AI Acceleration Engineer to join our team. As a key member of our engineering team, you will be responsible for designing and developing generic AI acceleration frameworks for GPUs, CPUs, and NPUs.
Key Responsibilities:
- Design and develop generic AI acceleration frameworks for GPUs, CPUs, and NPUs.
- Prune and optimize trained AI models for telco use cases.
- Optimize Neural Network libraries to best adopt to underlying compute platforms.
- Implement and verify the generic AI framework and optimized models.
- Profile on various compute platforms.
- Define functional and performance test cases against requirements and design choices.
- Contribute to Company Intellectual Property (patents, tech papers) from experiments and analysis done from the project.
- Work together with internal members of vRAN, L2 protocol stack, and embedded system SW for product integration.
Requirements:
- 8+ years of experience in low-level embedded SW development, including architecting SW as per CPU architectures and knowledge of Assembly level debugging.
- 5+ years of experience in AI/ML optimization, including pruning and optimizing Neural Network libraries.
- 5+ years of experience in training AI/ML models, fine-tuning using Tensorflow or Pytorch, and integration of trained models into relevant product SW.
- 3+ years of experience in NVIDIA GPU platforms and AI/ML ecosystem, including CUDA programming and DOCA SW framework.
- Expertise knowledge in programming vector processing SW on SIMD processors and GPUs.
- Proficient knowledge in hosting LLMs on GPUs and knowledge of routing AI execution jobs across CPUs and GPUs.
- Good understanding of High-speed serial interfaces such as Ethernet, PCIe.
- Hands-on experience in SW integration of multi-core, multi-module multi-developer environment.
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