Job Details:Job Description: 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.
Job Type:Experienced HireShift:Shift 1 (India)Primary Location: India, BangaloreAdditional Locations:Business group:Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/A
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
