Senior AI Software Development Engineer
Why Join Us
Senior AI Systems Software Engineer
Key responsibilities will include but not limited to
- 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.
Behavioral traits that we are looking for
- Demonstrates exceptional technical judgment and the ability to solve complex, high-impact challenges.
- Thinks strategically across the software and hardware stack, identifying opportunities to improve performance, scalability, and efficiency.
- Leads through influence, building alignment and driving outcomes across cross-functional organizations.
- Communicates effectively with both technical and business audiences, translating complex concepts into actionable insights.
- Operates with a strong sense of ownership and accountability, driving initiatives from strategy through execution.
- Uses data, experimentation, and measurable results to inform decisions and guide technical direction.
- Develops and elevates talent through mentorship, collaboration, and technical leadership.
- Brings an innovation mindset and a passion for advancing the future of AI computing.
Intel invests in our people and offers a complete and competitive package of benefits employees and their families through every stage of life.
- See Intel Benefits for more details.
Qualifications
Intel U.S. Immigration Sponsorship Information
Minimum Qualifications and Experience :
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field with 5+ years or experience. Or a Master's degree in the same field with 3+ years of experience or a PhD in the same filed with 1+ years of experience.
Your experience described above must be in the following:
- 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 Qualifications and Experience
:
- GPU architectures, AI accelerators, or parallel computing systems.
- Experience optimizing end-to-end AI inference workloads in production environments.
- Familiarity with AI inference frameworks such as llama.cpp, vLLM, OpenVINO, PyTorch, TensorRT, ONNX Runtime, or similar technologies.
- Experience with graph compilation and optimization technologies such as MLIR, LLVM, TVM, XLA, or related compiler frameworks.
- Experience with GPU programming models such as Vulkan Compute, OpenCL, SYCL, CUDA, HIP or equivalent technologies.
- Knowledge of neural network optimization techniques, quantization, kernel fusion, memory optimization, and performance tradeoffs.
- Experience across multiple layers of the AI software stack, including: • AI inference runtimes and serving frameworks
- Graph compilers and optimization frameworks
- GPU kernels and performance-critical compute code
- Experience contributing to open-source software projects is a plus.
Why Join Intel
Job Type
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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.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
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