AI Software Solutions Engineer

Job Details: Job Description: 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 Intel’s 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. Qualifications: 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: Bachelor’s/Master’s in Computer Science, Electronics Engineering, Mathematics, or related field with 6–12 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. Job Type: Experienced Hire Shift: Shift 1 (India) Primary Location: India, Bangalore Additional Locations: Business group: As a member of the Chief Technology Office, Artificial Intelligence, and Network and Edge Group (CTO AI NEX), you will be committed to strategically penetrating the AI market by delivering disruptive and transformative solutions. Your focus will be on leveraging technology innovation and incubation to drive commercial success, ensuring that advancements create significant value. The team is dedicated to driving the software-defined transformation of the world's networks profitably, setting new standards for efficiency and connectivity. Through these priorities, you aim to lead the way in technological evolution and redefine the future of global networks. Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Work Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.