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15.0 - 17.0 years

30 - 35 Lacs

Bengaluru

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Required Qualifications: Bachelors or Masters degree in Electrical Engineering, Computer Engineering, or related field with 15 years or more relevant experience. Experience with use-case analysis and decomposition. Experience in Linux, Zephyr, Free RTOS or similar operating systems. Strong understanding of microprocessor and micro controller architectures, including CPU cores , DSP, memory management, and peripheral integration. Experience with system level performance optimization, low-power design, SW/HW co-design , and real-time processing. Familiarity with high-speed interconnects, memory architectures, DDR, PCIe, and bus protocols. Strong collaboration skills to work across multidisciplinary teams, including silicon, software, hardware, board design, and validation engineers. Experience in product development processes. Preferred Qualifications: Experience with ARM Cortex and/or RISC-V architecture. Experience with media processing, vision and imaging applications. Experience with system-level simulation tools, hardware/software co-design, and debugging techniques. Familiarity with Machine Learning Hardware IPs, tools, and architecture. Knowledge of functional safety and security standards. Familiarity with Wi-Fi integration, networking protocols, and secure wireless communication.

Posted 2 weeks ago

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8 - 13 years

20 - 32 Lacs

Bengaluru

Work from Office

Naukri logo

Your Role: Development of artificial intelligence (AI) focused perception systems Design and develop tools and processes enabling teams to deploy their AI solutions faster Benchmark and develop prototypes for proof of concept phase Support hardware selection processes and become company expert for AI SoCs Interdisciplinary communication with algorithm experts and system developers Your Background : 8+ years of Experience in Embedded SW Development | C | C++ | compiler optimizations | Embedded systems debugging | Python | CI / CD | Docker | ML platform / ecosystem: Pytorch | Tensorflow, ONNX, TFLite. | Pruning, Quantization | Benchmarking | Understanding of popular AI architectures Algorithms | Familiar with instruction sets (VLIW, SIMD) and memory architectures (DSPs (e.g. TI C66/C7x , Hexagon)) popular AI processors. Familiarity with embedded deep learning SDKs ( QNN, TIDL)

Posted 3 months ago

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