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Tier-1 brand and Bangalore metro increase competition, but senior niche role limits applicant pool.
Requires embedded Linux, SoC architecture and ML compiler expertise, making cross-industry transfer difficult.
Explicit 10+ years plus mandatory low-level SDK, kernel, SoC and ML toolchain skills enforce strict filters.
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Lead architecture, development, and production of embedded AI software stacks on Linux-based RISC-V AI hardware.
Own end-to-end Linux SDK including Board Support Packages, kernel drivers, firmware/OS bring-up, and developer tooling for neural network acceleration.
Drive integration of SoC hardware with AI frameworks like PyTorch and TensorFlow, including automated testing and CI/CD for SDK performance.
Bachelor's or Master's degree in EE, CE, CS, or equivalent.
10+ years in software engineering, hardware architecture, Linux SDK, ML systems, or related fields with proven technical leadership.
Deep expertise in CPU and SoC architecture, Linux OS, open-source development, power management related to AI/ML workloads.
Familiarity with AI compiler infrastructures such as MLIR-based toolchains, IREE, TVM, or TFLite.
Experienced senior individual contributor capable of technical leadership and cross-functional influence without direct authority.
Strong background in embedded Linux development and AI SDK toolchain integration.
Ability to write clearly and adapt technical depth to diverse audiences, driving consensus effectively.