AI Infra Advisory Researcher

The Advisory Researcher in AI Compute and Data Infrastructure will provide senior technical leadership for the research, architecture, and development of intelligent, high-performance, and resilient Hybrid AI systems. This position combines research depth, hands-on software development, system architecture expertise, and the ability to translate emerging technologies into production infrastructure and differentiated product capabilities.

What You Will Do

Define technical directions and lead major research and development initiatives in AI compute and data infrastructure, distributed AI systems, and intelligent infrastructure management. Identify high-impact technical opportunities based on infrastructure challenges, emerging technologies, product requirements, and business value.

Why It Might Be a Fit

The successful candidate will define technical approaches, lead complex research initiatives, and make architecture-level decisions across GPUs and other accelerators, CPUs, memory, storage, networking, distributed systems, data platforms, AI frameworks, and application workloads.

Requirements

• Master’s or PhD degree in computer science, computer engineering, artificial intelligence, electrical engineering, applied mathematics, or a related field, or equivalent practical experience
• Seven or more years of relevant experience in AI compute and data infrastructure, machine learning systems, distributed systems, data platforms, performance engineering, reliability engineering, or advanced software development
• Demonstrated leadership of technically complex research, architecture, or system development initiatives
• Strong hands-on programming and system architecture capabilities
• Deep expertise in at least three of the following areas: Machine learning or deep learning, GPU or accelerator optimization, Distributed AI training and inference, Large-scale and streaming data processing, Hardware/software co-optimization, Time-series modeling or signal processing, Infrastructure diagnostics, reliability, and fault tolerance, Causal inference, Knowledge graphs or graph-based reasoning

Benefits

• Competitive salary
• Equity
• Healthcare
• PTO
• Retirement plan
• Learning budget
• Parental leave
• Wellness programs
• Visa/relocation assistance
• Remote flexibility
• Stipends
• Bonus/commission
• Paid holidays