Principal Software Engineer - Compilers

NXP — Hyderabad

Who We Are This role is part of the Kinara Group at NXP Semiconductors , combining the agility and innovation of a startup with the scale, stability, and global reach of a leading semiconductor company. Kinara was founded on patented technology developed during the founders’ Ph.D. research at Stanford University , with a mission to redefine AI inference at the edge through tightly integrated hardware and software. Following Kinara’s acquisition, this mission continues within NXP, with the Kinara team operating as a dedicated AI accelerator and software group focused on pushing the boundaries of edge AI. The team has delivered two generations of AI silicon shipping in volume , supported by a mature and production ‑ ready software stack , making it one of the most proven edge AI platforms in the industry. Kinara technology is used by marquee customers , including GAFA ‑ class companies, a leading global e ‑ commerce provider, and Tier ‑ 1 PC OEMs. As part of NXP, the Kinara Group now benefits from world ‑ class silicon execution, manufacturing scale, and customer access , while retaining its startup culture, deep AI expertise, and compiler ‑ driven engineering mindset. Joining this team offers the best of both worlds : the opportunity to work on cutting ‑ edge AI compiler and silicon technology, with real ‑ world impact and long ‑ term stability. What We Do We build game ‑ changing edge AI solutions that enable faster, smarter, and more power ‑ efficient decision making where every millisecond matters. At the core of our platform are Ara AI inference processors , purpose ‑ built to deliver unrivaled deep learning performance per watt at the edge . Paired with our comprehensive SDK and software toolchain , these processors enable developers to deploy and optimize complex AI models for real ‑ time inference under tight latency and power constraints. Kinara’s hardware–software co ‑ design approach allows high ‑ performance AI to be seamlessly embedded into edge devices ,

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