Job Description

About BlaizeBlaize provides a full-stack programmable processor architecture suite and low code/no-code software platform that enables AI processing solutions for high performance computing at the network's edge and in the data center. Blaize solutions deliver real-time insights and decision-making capabilities at low power consumption, high efficiency, minimal size, and low cost. Blaize has raised over $330 million from strategic investors such as DENSO, Mercedes-Benz AG, Magna, and Samsung and financial investors such as Franklin Templeton, Temasek, GGV, Bess Ventures, BurTech LP LLC, Rizvi Traverse, and Ava Investors. Headquartered in El Dorado Hills (CA), Blaize has more than 200 employees worldwide with teams in San Jose (CA), Cary (NC), and subsidiaries in Hyderabad (India), Leeds and Kings Langley (UK), and Abu Dhabi (UAE).JOB TITLE: Software EngineerEMPLOYMENT STATUS: Full-timeLOCATION: HyderabadJOB RESPONSIBILITIES

• Bring up, test and debug neural networks using ML frameworks like TensorFlow, PyTorch, ONNX etc. for Blaize-GSP.

• Analyze and enhance efficiency & stability of neural networks.

• Develop & maintain Model Conversion Tool software stack for Blaize-GSP.
• Develop kernels using CLC/assembly for the Blaize-GSP.
• Network Optimization, Node fusion, graph lowering, adding custom operations, profiling & performance fine tuning.

• MS or BS in computer science or Electronics
• Fresher or 3 - 5 years of relevant experience or an equivalent combination of experience and education.

• Hands on experience in Python, NumPy, ML frameworks like TensorFlow, PyTorch, ONNX and others.
• Good knowledge of C and C++
• Good knowledge of Linear algebra
• Knowledge of NWs optimization, graph lowering and finetuning
• Good analytical skills
• Good understanding of algorithms, OOPS concepts and SW Design Patterns.
• Good debugging skills.
• Experience or knowledge in HW Architecture is an added advantage.

• Hands on experience in C/CPP, Python, NumPy, ML frameworks like TensorFlow, PyTorch and ONNX

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