AI Systems Engineer

AI Systems Engineer at Nimbus Data Systems
Engineer, Staff - IEIOT AI Systems
Location: Bangalore, Karnataka, India
Department: Systems Engineering
Work Location: onsite

Company:
Nimbus Data Systems India Private Limited
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
Job Overview:
Nimbus Data Systems IE-IOT AI team is looking for hands on , passionate engineers for cutting edge AI deployment. Snapdragon chipset utilizes its powerful micro-processor, GPU, NPU and DSP to provide state-of-art platforms that enables advanced AI use cases. From state of art LLMs, to small CV based AI network or Robotic VLAs this group takes care of variety of AI model deployment and optimization.
The candidate will be responsible for evaluating, developing, and optimizing cutting edge machine learning and deep learning algorithms, and IoT Gen AI and Vision AI enabled use cases on device.
Minimum Qualifications:
•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Electrical Engineering, Electronic Engineering, or related field and 2+ years of Software Engineering or related work experience.
OR
Master's degree in Computer Science, Electrical Engineering, Electronic Engineering, or related field and 1+ year of Software Engineering or related work experience.
OR
PhD in Computer Science, Electrical Engineering, Electronic Engineering, or related field.
Responsibilities:
– Analysis and optimization of AI/ML models on various classes on Hexagon NPU
– Development of AI inference frameworks and runtimes for Hexagon NPU and DSP architectures
– Implementation and optimization of deep learning operators on SIMD/VLIW NPU or DSP architectures
– Understand benefit/drawback of various quantization schemes, use internal tool chains to control loading, execution, and scheduling of various models
– Perform system level analysis of concurrent ML model execution and daisy chaining ML models including Vision AI, Gen AI and VLA models
– Good understanding and hands-on experience with AI Model Quantization, Graph Optimizations, Graph Transformations
PREFERRED QUALIFICATIONS
– Bachelor's degree or equivalent in Engineering, Information Systems, Computer Science, or related field.
– 6+ years Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
– 3+ years Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
– Masters in Imaging/Color Engineering and/or Electrical Engineering, and/or related field
– Prior experience with high performance embedded programming preferred
– Hands-on knowledge of TensorFlow, TFLite, Pytorch, ONNX
– Proficiency in Machine Learning and Data Modeling, especially image/video related data
– Proficiency in Natural Language Processing is a plus
– Knowledge and experience of embedded systems with assembly/C/C++ programming
– Good understanding of system on chip micro-architecture
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
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