AI Research Scientist/Engineer

The mission of Intel Labs is to drive technology leadership for Intel. This includes conceiving, researching, prototyping, and coordinating with academic/external partners and Intel business groups to deliver technology innovation for future industry needs. This is full time position with the Emerging Visual-AI Systems Research team at Intel Labs.  

Our team is driving exciting research to identify innovative technologies and capabilities for future of AI systems, particularly in generative AI and multimodality. We focus on innovating on hardware and software technologies that will transform the AI computing experience across edge/cloud systems. 

In this role, your responsibilities will include:  

• Investigating, implementing and driving new AI optimization and acceleration techniques within the Intel HW and SW products. This requires a deep understanding of state-of-the-art techniques in AI model optimization (such as quantization, sparsity, etc.), run-time systems, optimized kernels for performance evaluation on HW products, and solid grasp of distributed computing, and computer architecture. 

• Solid research discipline, hands on prototyping skills, closely work with partners to drive research agenda. The candidate is expected to maintain substantial knowledge of state-of-the-art principles and theories and contribute regularly to scientific literature and the research community-at-large and may participate in the development of Intellectual Property. 

The ideal candidate should exhibit behavioral traits that indicate: 

• Excellent interpersonal and communication skills in a cross-functional setting. 

• Exceptional team player. 

• Self-driven with meticulous attention to detail in a fast-moving environment. 

• Proven track record of taking initiative and driving projects to completion with a results-oriented approach. 

You must possess the below minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. 

Minimum Qualifications: 

• Bachelor’s/BS with 6+ years or master’s degree with 4+ years, or PHD with 2+ years of experience in Electrical Engineering, Computer Engineering, Computer Science, or a relevant engineering discipline. 

3+ years of experience in below areas: 

• AI optimizations and acceleration, HPC or run-time optimizations 

• Computer architecture, accelerator design, quantization, model compression, etc. 

• Solid foundation in generative AI models, deep learning, hands on experience with AI frameworks (e.g., PyTorch) 

• Solid publication record at top-tier conferences such as NeurIPS, MLSys, ICLR, AAAI, etc. 

• Parallel Multithreading programming and concurrency models. 

Preferred Qualifications: 

• Experience with distributed computing, AI compilers 

• Ability to drive early-stage research projects with risks and ambiguity