Embedded AI Engineer
2 weeks ago
Responsibilities : Deep Learning Model Conversion: Convert and adapt deep learning network architectures (e.g., from PyTorch) for deployment on various embedded platforms. Quantization-Aware Training (QAT): Implement and fine-tune Quantization-Aware Training techniques to optimize model performance and reduce memory footprint while maintaining accuracy. Model Optimization: Perform extensive model optimization techniques, including pruning, quantization (post-training and QAT), and network architecture search, to achieve desired latency, power, and memory targets. Runtime Integration: Integrate optimized deep learning models with embedded runtime environments and hardware accelerators. Performance Profiling & Tuning: Analyze and profile model performance on target embedded hardware, identifying bottlenecks and implementing solutions for real-time inference. Number Format Conversion: Work with various number formats (e.g., FP32, FP16, INT8) and develop strategies for efficient conversion and utilization on embedded processors. Toolchain Development & Utilization: Utilize and contribute to the development of custom conversion tools and optimization scripts to streamline the deployment pipeline. Skills Required : Experience: 5+ years of experience in embedded software development with a strong focus on AI/Machine Learning deployment. Programming Skills: Proficient in Python for AI development and scripting. Deep Learning Frameworks: Hands-on experience with deep learning frameworks such as PyTorch. Experience with TensorFlow/Keras is a plus. Embedded Systems: Strong understanding of embedded system architectures, microcontrollers, DSPs, and/or FPGAs. Optimization Techniques: Proven experience with deep learning model optimization techniques (quantization, pruning, knowledge distillation). Number Formats: Familiarity with different number formats (e.g., FP32, FP16, INT8) and their implications for embedded inference. Conversion Tools: Experience with model conversion tools (e.g., ONNX, OpenVINO, TensorRT, TVM). Problem-Solving: Excellent analytical and problem-solving skills, with a strong ability to debug and optimize complex systems. Experience with C/C++ for embedded development. Familiarity with hardware acceleration (e.g., NPUs, GPUs on edge devices).
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Embedded Engineer
4 days ago
Chennai, Tamil Nadu, India Siliconz Embedded Solutions Full time ₹ 9,00,000 - ₹ 12,00,000 per yearResponsibilities:* Design, develop, test & maintain embedded systems using Embedded C, RTOS & communication protocols with microcontrollers. Experience in hands-on development and troubleshooting on embedded targets
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Embedded AI Engineer
2 weeks ago
Chennai, India Valeo Full timeResponsibilities : Deep Learning Model Conversion: Convert and adapt deep learning network architectures (e.g., from PyTorch) for deployment on various embedded platforms. Quantization-Aware Training (QAT): Implement and fine-tune Quantization-Aware Training techniques to optimize model performance and reduce memory footprint while maintaining accuracy....
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Embedded AI Engineer
2 weeks ago
Chennai, India Valeo Full timeResponsibilities : Deep Learning Model Conversion: Convert and adapt deep learning network architectures (e.g., from PyTorch) for deployment on various embedded platforms. Quantization-Aware Training (QAT): Implement and fine-tune Quantization-Aware Training techniques to optimize model performance and reduce memory footprint while maintaining accuracy....
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Embedded ai engineer
1 week ago
Chennai, India Valeo Full timeResponsibilities :Deep Learning Model Conversion: Convert and adapt deep learning network architectures (e.g., from Py Torch) for deployment on various embedded platforms.Quantization-Aware Training (QAT): Implement and fine-tune Quantization-Aware Training techniques to optimize model performance and reduce memory footprint while maintaining accuracy.Model...
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Embedded AI Engineer
2 weeks ago
Chennai, India Valeo Full timeResponsibilities :Deep Learning Model Conversion: Convert and adapt deep learning network architectures (e.g., from PyTorch) for deployment on various embedded platforms.Quantization-Aware Training (QAT): Implement and fine-tune Quantization-Aware Training techniques to optimize model performance and reduce memory footprint while maintaining accuracy.Model...
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Embedded AI Engineer
2 weeks ago
Chennai, India Valeo Full timeResponsibilities :Deep Learning Model Conversion: Convert and adapt deep learning network architectures (e.g., from PyTorch) for deployment on various embedded platforms.Quantization-Aware Training (QAT): Implement and fine-tune Quantization-Aware Training techniques to optimize model performance and reduce memory footprint while maintaining accuracy.Model...
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Embedded AI Engineer
2 weeks ago
Chennai, India Valeo Full timeResponsibilities :Deep Learning Model Conversion: Convert and adapt deep learning network architectures (e.g., from PyTorch) for deployment on various embedded platforms.Quantization-Aware Training (QAT): Implement and fine-tune Quantization-Aware Training techniques to optimize model performance and reduce memory footprint while maintaining accuracy.Model...
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Embedded ai engineer
1 week ago
Chennai, India Valeo Full timeResponsibilities :Deep Learning Model Conversion: Convert and adapt deep learning network architectures (e.g., from Py Torch) for deployment on various embedded platforms.Quantization-Aware Training (QAT): Implement and fine-tune Quantization-Aware Training techniques to optimize model performance and reduce memory footprint while maintaining accuracy.Model...
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Embedded AI Engineer
2 weeks ago
Chennai, Tamil Nadu, India Valeo Full time ₹ 8,00,000 - ₹ 24,00,000 per yearResponsibilities :Deep Learning Model Conversion: Convert and adapt deep learning network architectures (e.g., from PyTorch) for deployment on various embedded platforms.Quantization-Aware Training (QAT): Implement and fine-tune Quantization-Aware Training techniques to optimize model performance and reduce memory footprint while maintaining accuracy.Model...
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Embedded AI Engineer
2 weeks ago
chennai district, India Valeo Full timeResponsibilities : Deep Learning Model Conversion: Convert and adapt deep learning network architectures (e.g., from PyTorch) for deployment on various embedded platforms. Quantization-Aware Training (QAT): Implement and fine-tune Quantization-Aware Training techniques to optimize model performance and reduce memory footprint while maintaining accuracy....
