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About This Role
- The Role and the Impact As an AI Software Engineering Undergraduate Intern, you'll play a pivotal role in advancing compiler technologies for heterogeneous AI workloads.
- You'll work on projects that enhance the optimization and scheduling of AI kernels, targeting both Intel CPUs and GPUs, delivering substantial performance improvements and enabling cutting-edge research application.
- Through hands-on development, you'll contribute to innovations in compiler infrastructure that address real-world challenges in AI systems.
- Business group The Data Center Group (DCG) leads innovation in enterprise-grade technology, enabling Intel's contributions to AI, cloud computing, and edge solutions.
- As part of the Software and AI Pathfinding team, you'll collaborate on initiatives that shape the future of AI systems and drive Intel's leadership in data-centric applications.
- Key Responsibilities - Collaborate on the design and implementation of compiler optimization techniques, including algebraic rewrite systems and hierarchical scheduling. - Integrate novel abstractions into MLIR-based compilation pipelines for AI workloads. - Develop resource-aware models and apply constraint evaluation for optimized scheduling decisions. - Prototype and verify equivalence checking methods leveraging probabilistic and symbolic approaches. - Leverage Intel architecture features (AMX, AVX-512) to enhance compiler performance targeting CPUs and GPUs. - Document and present technical findings, with opportunities for open-source contributions and publications.
Requirements
- You must be an active student (able to maintain student status for at least 1 year) to qualify for this role. - Bachelors degree or student status in Computer Science, Electrical Engineering, or related field with 0-1 years of hands-on experience in domain with demonstrated skills gained through internships, academic projects, coursework, or hands-on training OR a Masters degree in a relevant field with no prior professional experience. - Advenced Python development skills within compiler ecosystems (experience with MLIR/LLVM advantageous). - Academic standing in a graduate program with a focus on compilers, programming languages, or AI optimization.
- Preferred Qualifications - Familiarity with LLVM ecosystem tools. - Hands-on experience with autotuning techniques or cost modeling for compiler performance optimization. - Knowledge of tensor compiler frameworks like Triton or similar solutions. - Exposure to probabilistic algorithms and SMT solvers (e.g., Z3). - Prior publications or technical projects in compilers, program synthesis, or AI optimization. - Experience in agentic AI solutions Join us to contribute to transformative advancements in AI software engineering and grow your expertise in compiler technologies for heterogeneous systems.
Benefits
- Your recruiting team will provide the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.
Sourced directly from Intel’s career page
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Specialisation
Open roles at Intel
666 positions
Job ID
/job/Poland-Gdansk/AI-Software-Engineering---Workloads-Validation-Intern_JR0287890
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