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Strong employer brand and Bangalore metro raise competition, but niche embedded AI SoC skills limit applicant density.
Embedded AI for automotive requires hardware-specific expertise, reducing cross-industry transferability.
Explicit 6+ years, required embedded experience, and specialized AI SoC/tooling make hiring filters stringent.
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Develop and integrate AI-focused embedded perception systems including defining interfaces and implementing/testing algorithms.
Benchmark and prototype AI perception systems during proof of concept phases.
Support hardware selection, become company expert for AI SoCs, and collaborate cross-functionally with algorithm and system developers.
Master’s or Ph.D. in Computer Science or related field.
6+ years overall experience, with at least 2 years in embedded software development using C/C++.
Strong skills in C/C++ programming, compiler application, debugging, and code optimization.
Familiarity with fixed point implementation, quantization, instruction sets, memory architectures, FPGA, DSP, and AI processors.
Experienced in deploying and optimizing machine learning models on NVIDIA AI SoCs using TensorRT, ONNX Runtime, and NN compilers.
Has a mathematical background and solid understanding of perception and machine learning algorithms.
Background includes working in automotive domain, ADAS/AD, and software team development, ideally with academic contributions or relevant publications.