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At Microsoft Research, we are shaping the future of AI infrastructure by pursuing high-risk and high-reward programs that will define the next generation of AI platforms. Our work spans the full stack, models, systems, software, and hardware, and we partner with product teams across Microsoft to turn research breakthroughs into impact at scale. Through close collaboration with industry partners, the team bridges research and production, translating hardware innovation into working prototypes and manufacturable solutions for next-generation AI infrastructure. You will join a multidisciplinary team working at the intersection of optics, electronics, photonics, packaging, networking, and AI system design.
Job Responsibility
Translate early-stage research from Microsoft Research and applied R&D into shippable cloud AI capabilities
Partner with MSR researchers, Azure engineering teams, and external hardware and software vendors to design technical solutions
Define what success looks like for moving research prototypes to general availability
Own the program structure end-to-end: roadmap, schedule, staging and rollout plans, and governance
Close the loop from production back to research: validate use cases against live workloads, instrument performance and reliability metrics at cloud AI scale, and bring signal from customer engagements back to MSR and Azure teams
Requirements
Master's Degree in computer engineering, electrical/electronic engineering, computer science, physics, applied physics, optics/photonics, materials science, or a related field AND 3 to 5+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
3+ years of experience managing cross-functional and/or cross-team projects
Ability to operate effectively in a multi-disciplinary environment
Excellent communication skills in English, both written and spoken, including the skill to clearly communicate technical results and justify assumptions to diverse technical audiences
Basic understanding of optics and/or photonics, sufficient to engage with researchers and suppliers on technical trade-offs in optical systems
Nice to have
Experience working on research or industry projects related to AI systems design
Knowledge of networking and interconnects, broadly defined
Familiarity with hardware/system simulation or modeling tools
Knowledge of advanced packaging, co-packaged optics, or memory hierarchies