Posted Apr 27, 2026
As a Machine Learning Engineer at this company, you will be responsible for developing optimized libraries for GPU and/or SIMD and VLIW processor architectures. Your role will involve partitioning problems for multicore processor systems considering latency, bandwidth, and memory utilization tradeoffs. Key Responsibilities:
Qualifications Required:
Proficiency in C/C++, Python, TensorFlow, PyTorch
Strong understanding of machine learning, deep learning, and artificial intelligence concepts
Excellent written and verbal communication skills in English
Minimum of 5 years of experience in a similar role The company is based in Hyderabad and is looking for individuals with at least 5 years of experience in the field. Please note that the role details, content, and availability are subject to change, and applicants are advised to verify the latest information on the company's website before applying. As a Machine Learning Engineer at this company, you will be responsible for developing optimized libraries for GPU and/or SIMD and VLIW processor architectures. Your role will involve partitioning problems for multicore processor systems considering latency, bandwidth, and memory utilization tradeoffs. Key Responsibilities:
Work on optimized library development for GPU and/or SIMD and VLIW processor architectures
Partition problems for execution on a multicore processor system with latency, bandwidth, and memory utilization tradeoffs
Utilize C/C++, Python, and various ML frameworks such as TensorFlow and PyTorch
Understand and analyze complex signal processing and computer vision algorithms
Translate compute algorithms into fixed-point hardware implementation
Create detailed documentation for internal and/or customer-facing purposes
Qualifications Required:
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