AI Software Solutions Engineer

AI Software Solution Engineer for validation role to work with internal engineering teams and ecosystem partners to deliver high-performance AI solutions optimized for Intel platforms. Explores emerging AI trends, prototypes advanced solutions, and drives adoption of Intels AI capabilities across cloud, edge, and client markets. Enhances AI model efficiency, accuracy, and performance through deep understanding of frameworks, algorithms, and underlying hardware.

Acts as a trusted technical leader supporting product enablement, performance tuning, validation, and benchmarking to help shape future Intel AI architectures and platforms.

Key Responsibilities:

• Collaborate with cross-functional hardware and software engineering teams to validate AI workloads for Intel architectures
• Evaluate and debug deep-learning models, kernels, and operators to maximize performance and efficiency while maintaining accuracy
• Conduct benchmarking, regression analysis, and algorithmic validation across a variety of use-cases and frameworks
• Develop prototype workloads, tools, and automation pipelines to accelerate performance tuning and validation workflows
• Engage with customers, ISVs, and internal development groups to drive enablement, performance improvements, and ecosystem readiness
• Translate AI workload needs into actionable architecture and product insights and support next-generation platform bring-up, pre-silicon modeling, and product maturity efforts

Qualifications:

• Bachelors/Masters in Computer Science, Electronics Engineering, Mathematics, or related field with 612 years of experience.
• Knowledge of ML/DL is a Must including LLM Architecture, Transformer, Attention, Low precision Data type (fp8/fp4), Quantization Techniques, Open source upstreaming, Inference Serving etc.
• Hands-on experience with ML/DL models and distributed training/inference using PyTorch, Tensorflow, vLLM/SGLang or similar frameworks.
• Strong skills in performance debugging, numerical analysis, and regression tracking in validation environments.
• Strong skills in validation framework design and test case development for Kernel providers like Cutlass, Triton etc.
• Proficiency in Strong C++ development expertise (C++17/STL, Gtest).
• Solid Linux development/debugging experience (git, cmake, gdb, strace, perf), and familiarity with Git/GitHub/Gerrit workflows and CI/CD automation.
• Understanding of distributed systems, HPC/GPU scaling, MPI/torchrun/Fully Sharded Data Parallel/Tensor Parallel, and high-performance networking (Ethernet/InfiniBand).
• Skilled in Docker/Kubernetes, virtualization, performance benchmarking, and automation.
• Strong analytical, problem-solving, and communication skills with ability to work across architecture, development, and validation teams.