Intel is looking to hire an AI Software Solutions Engineer who will develop high-performance AI solutions which will be delivered through internal engineering teams and ecosystem partners for Intel platforms. The role focuses on validating AI workloads, benchmarking models, developing prototype workloads, and enabling the adoption of Intel’s AI capabilities across cloud, edge, and client markets.
Location: Bangalore, Karnataka, India
Job Type: Full-time
Job ID: JR0278477
Apply: Click Here
Collaborate with hardware and software engineering teams to validate AI workloads for Intel architectures.
Evaluate, debug, and optimize deep-learning models, kernels, and operators for maximum performance and accuracy.
Conduct benchmarking, regression analysis, and algorithmic validation across multiple frameworks.
Develop prototype workloads, tools, and automation pipelines for performance tuning and validation.
Engage with customers, ISVs, and internal teams to improve performance and drive ecosystem readiness.
Translate AI workload requirements into actionable insights for next-generation Intel platforms.
Support pre-silicon modeling, platform bring-up, and product maturity initiatives.
Bachelor’s or Master’s in Computer Science, Electronics Engineering, Mathematics, or related fields.
Must possess between 6 and 12 years of experience in AI/ML validation and software development and distributed systems.
Knowledge of ML and DL which includes LLM architectures and Transformer and Attention mechanisms and low-precision data types and quantization and inference serving.
Practical experience in ML and DL models through distributed training and inference operations which utilize PyTorch and TensorFlow and vLLM/SGLang and related frameworks.
Strong C++17 proficiency together with STL and GTest and Linux development tools which include git and cmake and gdb and strace and perf.
Experience in designing validation frameworks and working with kernel providers and Cutlass and Triton and conducting performance benchmarks.
Knowledge about distributed systems and HPC and GPU scaling and MPI and torchrun and Fully Sharded Data Parallel and Tensor Parallel and high-performance networking systems which include Ethernet and InfiniBand.
Must demonstrate knowledge of Docker and Kubernetes and virtualization and automation and continuous integration and continuous delivery workflows.
Demonstrates exceptional abilities in analytical skills and problem-solving and cross-functional communication.
Experience in AI workload performance optimization together with expertise in numerical analysis.
Experience working with validation pipelines which test both GPUs and distributed training environments.
Intel Corporation started its operations in 1968 through the efforts of Robert Noyce and Gordon Moore to establish themselves as the leading company in semiconductor technological development. Intel develops high-performance processors together with GPUs and AI accelerators which enable progress in computing through their use in AI and cloud and edge technology fields. Intel provides advanced technological solutions which enable the whole world to access upcoming technological breakthroughs which will transform computing across various devices and industries.