We are looking for an experienced AI Software Development Engineer to drive end-to-end optimization of AI inference workloads on Intel GP - Us. This is a vertical workload optimization role spanning graph compilation, runtime execution, and low-level GPU kernels, delivering measurable performance improvements for modern AI models. Key Responsibilities - Optimize emerging AI inference workloads such as Large Language Models (LL - Ms) and Diffusion models on GP - Us - Develop and optimize graph-based compilation flows (e.g., MLIR/ LLVM) for neural network workloads - Write and tune performance-critical GPU kernels and runtime code in C or parallel programming languages - Identify and resolve bottlenecks across compiler, runtime, and kernel layers - Profile, benchmark, and characterize AI workloads to validate performance gains - Collaborate with hardware, driver, and framework teams on hardware/software co-optimization. What We're Looking for Professional traits: - Excellent problem-solving abilities and strong attention to detail. Qualifications:Qualifications. Minimum Requirements - Bachelor's degree with 4 years of relevant experience, OR Master's degree with 2 years of relevant experience in Computer Science or a related field. The experience must include: - Strong C development and debugging skills - Solid understanding of GPU architectures or AI accelerators - Hands-on experience with modern neural network architecture for inference on hardware accelerators. Preferred Qualifications - PhD and 1 years of relevant experience - Experience optimizing end-to-end real-world AI workloads - Familiarity with Open. VINO or other AI inference frameworks - Knowledge of neural network optimization techniques and performance tradeoffs - Experience across multiple layers of the AI software stack, including:AI inference engines or runtimes. Graph compilers (e.g., MLIR/ LLVM)GPU kernels or performance critical compute code - Performance profiling and workload analysis. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Job Type:Experienced Hire. Shift:Shift 1 (United States of America)Primary Location: US, California, Folsom.