Senior Software Engineer, AI Compilers

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, enabling applications across vision, industrial automation, consumer electronics, and intelligent systems.
• Our solutions focus on performance, efficiency, and scalability, helping customers bring advanced AI capabilities out of the cloud and into the real world.
• Edge AI is at an inflection point, and the Kinara Group within NXP is uniquely positioned to play a leading role in its growth, delivering production-proven silicon, a robust compiler and SDK stack, and a clear roadmap for next-generation intelligent edge devices.
• This is what you are responsible for Implement compiler modules within defined subsystems: MLIR dialects, lowering passes, operator fusion strategies, and target code generation components for our NPU.
• Participate in design and deployment of quantization flows and numerical-correctness verification for assigned features.
• Develop and ship production-grade compiler passes and runtime integration components that are stable, debuggable, and performant.
• Perform low-level optimizations and collaborate with kernel teams to address HW/SW performance gaps.
• Contribute to compiler CI pipelines, test suites, profiling, and release processes.
• Debug and root-cause performance and correctness issues on customer models; produce reproducible fixes.
• Mentor junior engineers and contribute to design reviews.
• Provide feedback to product and silicon teams on compiler-driven feature opportunities and tradeoffs.
• Necessary Qualifications 7-8 years of software engineering experience with hands-on compiler and systems work.
• Experience with graph lowering, IR design, operator fusion, scheduling, and code generation for accelerators.
• Strong systems programming skills -- proficient C++ and solid Python for tooling and infrastructure.
• Track record of shipping compiler components or systems software used in deployed products.
• Solid debugging and profiling skills with common performance toolchains.
• Strong communication skills and ability to work cross-functionally with hardware architects and kernel teams.
• Willingness to mentor junior engineers and contribute to team engineering practices.
• Good to Have Familiarity with MLIR-based frontends and dialects, such as TOSA, StableHLO, TorchMLIR.
• Exposure to AI compiler stacks, hardware backends, or accelerator targeting.
• Experience working with large-scale models or production ML inference pipelines.
• More information about NXP in India... #LI-29f4