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AI Frameworks Engineer
Intel Corporation. Identify performance bottlenecks and additional features needed for Argonne AI CoE workloads .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in optimizing AI frameworks such as PyTorch and vLLM for Intel architectures, with a strong background in performance profiling and AI model development. Proficient in Python, SYCL/CUDA, and C++ programming within Linux environments to enhance AI workload efficiency.
Highest-signal resume keywords
AI Framework DevelopmentPerformance OptimizationPyTorch OptimizationPython ProgrammingGPU Software Development
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Framework DevelopmentPerformance OptimizationPyTorchVLLMTensorFlowHugging FaceDeepSpeedPythonSYCL/CUDAC++
Soft Skills
CollaborationTroubleshootingProblem-Solving
Tools & Technologies
LinuxAI AcceleratorsIntel CPUsIntel GPUs
Industry Keywords
AI WorkloadsLarge Language ModelsGenerative AIDeep Learning AlgorithmsModel Architectures
Tech Stack
Tools & technologiesLinuxPythonPyTorchTensorflowC++
About the role
Key responsibilities & impact- Identify performance bottlenecks and additional features needed for Argonne AI CoE workloads
- Optimize PyTorch, vLLM, and related AI framework software for Intel CPUs, GPUs, and AI accelerators
- Enable and optimize large language models, generative AI models, and scientific AI workloads
- Profile AI training and inference workloads across framework, runtime, kernel, and hardware layers
- Collaborate with cross-functional teams to define technical specifications and software requirements
- Troubleshoot and resolve complex issues across hardware and software stack layers
- Contribute software innovations that enhance AI framework performance, scalability, and usability
- Partner with engineering and architecture teams to maximize AI model performance on Intel architectures
- Support the Argonne AI Center of Excellence partnership between Intel and Argonne National Labs
Requirements
What you’ll need- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or STEM-related field with 3+ years of experience in software development; OR Master's degree in a related field with 1+ year of experience; OR Ph.D. in a related field with 3+ months of experience
- 3+ years of experience in AI framework development or optimization
- Experience with PyTorch, vLLM, TensorFlow, Hugging Face, DeepSpeed, or related AI software frameworks
- Experience in AI model development, enablement, profiling, or performance optimization
- Experience in GPU or accelerator software development
- Experience in runtime, compiler, kernel, or backend optimization for AI workloads
- Proficiency in Python, SYCL/CUDA, and C++ programming
- Experience developing in Linux environments
- Background in AI framework internals, model execution, or backend integration
- Experience optimizing AI training or inference workloads for CPUs, GPUs, or accelerators
- Background in performance profiling, memory optimization, throughput improvement, or latency reduction
- Experience enabling or optimizing large language models, generative AI models, or scientific AI models
- Understanding of deep learning algorithms, model architectures, and AI workload patterns
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