Research Scientist

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.

We are seeking for a full-time researcher with a strong system level programming background. The candidate will be responsible for investigating, implementing and driving distributed computing eco-system for compute and memory intensive workloads that leverages Intel HW and SW products.

This requires a deep understanding of GPU/accelerators, network protocols, GPU APIs, AI frameworks and solid grasp of distributed computing, and computer architecture.The candidate must have strong 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.

Qualifications

Minimum Qualifications Bachelor's/BS with 10+ years or master's degree with 5+ years, or PHD with 1+ years of experience in Electrical Engineering, Computer Engineering, Computer Science, or a relevant engineering discipline.

Proficient in C++ with significant hands-on experience

Strong experience in GPU/NPU architecture, SW pipelines and programming models

Experience with computer architecture, OS internals, cross-platform development. system level programming and device drivers Experience with low-level optimizations to improve throughput and reduce latency of E2E systems

Strong experience with multithreading programming and concurrency models.

Preferred Qualifications: Hands on experience with AI frameworks (e.g., PyTorch) and standards Experience with LLVM, code generation, RPC Ability to drive early-stage research projects with risks and ambiguity Publication record at top-tier conferences such as NeurIPS, MLSys, ICLR, AAAI, etc.