AI Software Solutions Engineer
Intel · Posted Oct 14
Semiconductor manufacturing, microprocessors, data center solutions, and artificial intelligence infrastructure
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About the role
The role resides within Intel's Data Center Group (DCG), a business unit dedicated to advancing data center and AI technologies and developing solutions for AI, HPC, and enterprise workloads. As an AI Software Solutions Engineer, you will focus on optimizing AI solutions using Intel products and working with open-source frameworks like PyTorch, TensorFlow, and JAX. The role involves designing and developing features for Intel's AI frameworks software stack, enabling and optimizing deep learning models, and enhancing AI frameworks for Intel's GPUs and accelerators.
What you will do
- Propose optimizations in SW and kernel implementation to improve workload performance.
- Model AI HW and SW (GPU/accelerator) for performance analysis. Analyze AI workloads to identify critical kernels and patterns. Estimate ideal performance of kernels and workloads for a given HW spec.
- Enhance and maintain the performance modeling toolkit for projections. Correlate projected performance with device/simulator and improve models.
- Study new and different DL networks for future optimization requirements.
- Design and develop hardware-agnostic and hardware-aware software features for AI frameworks, focusing on ML kernel development.
- Enhance and extend deep learning training and inference capabilities within Intel's AI software stack.
- Debug and resolve functional and convergence issues in multi-layered software systems.
Skills used in this role
What the employer is looking for
- Bachelors with 8+, Masters with 6+ years, or PhD with 3+ years, of relevant industry experience in Computer Science or Computer Engineering or Electrical Engineering related technical discipline.
- Programming in Python/C++, strong in Data Structures/Algorithms, worked on large SW projects.
- Knowledge of computer architecture and compiler fundamentals.
- Strong written and verbal communication skills.
- Expertise in performance optimization techniques for AI workloads on modern hardware architectures.
Preferred qualifications
- Familiarity with AI algorithms (e.g. LLMs) and DL and serving frameworks (e.g. PyTorch, JAX, vLLM, SGLang, HF).
- Advanced understanding of machine learning concepts and deep learning practices.
- Knowledge of Intel hardware architecture and features, including CPUs, GPUs, or AI accelerators.
- Demonstrated ability to analyze, prototype, and solve complex technical challenges.
- Strong communication skills to convey technical concepts to diverse audiences.
- Experience with developing and integrating CUTLASS or Triton-based kernels in large language models (LLMs).
- Knowledge of compiler algorithms for heterogeneous systems and fuser optimizations.
- Effective communication skills and experience working in cross-geo teams.
- Familiarity with generative AI models and LLMs.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Intel
Intel Corporation is a global technology leader focused on the design and manufacturing of microprocessors, integrated circuits, and advanced data center infrastructure. The company drives innovation across personal computing, artificial intelligence, and cloud ecosystems while operating a major semiconductor foundry business. Intel delivers foundational silicon and packaging solutions that power modern digital infrastructure worldwide.
- Industry
- Semiconductors
- Company size
- 10001+ employees
- Founded
- 1968
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Leadership
Lip-Bu Tan
Chief Executive Officer
Executive Vice President and Chief Financial Officer
Pushkar Ranade
Chief Technology Officer and Chief of Staff to the CEO
Executive Vice President – Chief Technology and Operations Officer, General Manager Intel Foundry
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