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Senior AI Software Development Engineer
Intel Corporation. Lead optimization initiatives for AI inference workloads on Intel GPUs .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in optimizing AI inference workloads on Intel GPUs, with a strong focus on performance analysis, software architecture, and mentoring engineering teams. Proficient in C++ development and familiar with various AI frameworks and optimization technologies.
Highest-signal resume keywords
C++ Software DevelopmentPerformance Analysis and OptimizationAI Inference FrameworksGPU Programming ModelsNeural Network Optimization Techniques
ATS Keywords
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Hard Skills
Performance EngineeringSoftware DevelopmentAI SystemsProfilingBenchmarkingOptimizationNeural Network ArchitecturesAI Inference WorkloadsGraph CompilationKernel Fusion
Soft Skills
Technical LeadershipMentoringCollaboration
Tools & Technologies
Intel GPUsOpenVINOPyTorchTensorRTONNX RuntimeMLIRLLVMTVMXLACUDA
Industry Keywords
AI InferencePerformance CharacterizationHardware Co-DesignCompute-Intensive ApplicationsParallel Computing Systems
Tech Stack
Tools & technologiesPyTorchC++
About the role
Key responsibilities & impact- Lead optimization initiatives for AI inference workloads on Intel GPUs
- Define and drive performance optimization strategies across compilers, runtimes, and GPU kernels
- Architect software solutions that improve scalability, efficiency, and performance
- Profile, benchmark, and analyze complex AI workloads to identify system bottlenecks
- Influence hardware and software co-design decisions through performance characterization and workload analysis
- Drive cross-functional technical initiatives spanning architecture, compiler, framework, and runtime teams
- Mentor engineers and provide technical leadership across projects
- Evaluate emerging AI technologies and identify future optimization opportunities
- Collaborate with hardware architecture, compilers, runtime systems, and AI frameworks teams
- Develop high-performance software solutions accelerating AI inference workloads, including LLMs, Generative AI, and emerging machine learning applications on Intel GPU platforms
Requirements
What you’ll need- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field with 5+ years of experience, or Master's degree in the same field with 3+ years of experience, or PhD in the same field with 1+ years of experience
- Experience in software development, AI systems, or performance engineering
- C++ software development and debugging
- Experience with performance analysis, profiling, and optimization of compute-intensive applications
- Experience with modern neural network architectures and their execution on hardware accelerators
- Preferred: GPU architectures, AI accelerators, or parallel computing systems
- Preferred: Experience optimizing end-to-end AI inference workloads in production environments
- Preferred: Familiarity with AI inference frameworks such as llama.cpp, vLLM, OpenVINO, PyTorch, TensorRT, ONNX Runtime, or similar technologies
- Preferred: Experience with graph compilation and optimization technologies such as MLIR, LLVM, TVM, XLA, or related compiler frameworks
- Preferred: Experience with GPU programming models such as Vulkan Compute, OpenCL, SYCL, CUDA, HIP, or equivalent technologies
- Preferred: Knowledge of neural network optimization techniques, quantization, kernel fusion, memory optimization, and performance tradeoffs
- Preferred: Experience across multiple layers of the AI software stack, including AI inference runtimes and serving frameworks, graph compilers and optimization frameworks, and GPU kernels and performance-critical compute code
- Preferred: Experience contributing to open-source software projects
Benefits
Comp & perks- Competitive pay
- Stock bonuses
- Health benefits
- Retirement benefits
- Vacation benefits
- Hybrid work model allowing employees to split time between working on-site and off-site