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Manager, AI/HPC Systems Engineering

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Manager, AI/HPC Systems Engineering
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Oslo, Norway
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The AI/HPC Systems Engineering team is looking for a systems engineering manager with knowledge of AI or HPC systems. This role will involve shaping the next generation of AI/HPC systems. Meta’s cutting-edge AI/HPC systems are helping drive the next generation of innovation and in this role, you will have a unique opportunity to shape the direction of Meta by specifying technical requirements and steering the industry and ecosystem. This role will be working across many projects in our team to shape our system requirements & design. A successful candidate will be a HW system and platform builder with a breadth of knowledge. Their background could span boards, sensors, FPGA RTL design/verification, performance/power testing, OS kernel/driver software and architectures. A successful leader on the hardware engineering team has a leadership style putting the company and the team first, a proven track record of solid execution, great business acumen, a high bar for excellence, the ability to drive innovation, excellent communication skills, a penchant for giving & receiving feedback, and strong cross-functional and supplier partnership skills. The individual in this role will work with their peers to set the vision, create the roadmap & engineering deliverables, and ensure the successful deployment of AI/HPC systems into our data centers.
Manager, AI/HPC Systems Engineering Responsibilities
  • Shape the next generation of AI/HPC architectures to maximize system performance & reliability
  • Develop & execute on multi-year roadmaps for AI/HPC systems, with a focus on prototyping new AI/HPC systems for a variety of potential workloads
  • Develop & execute on a hiring strategy to ensure the team is able to be successful in it goals
  • Mentor & develop a team of engineers for their long-term career growth
  • Keep up to date with industry trends in AI/HPC systems
  • Deliver effective feedback to cross-functional teams as well as act upon feedback received
  • Leading timeline-based, internal or external multi-partner initiatives.
Minimum Qualifications
  • 5+ years of engineering management experience in a technology environment.
  • Master’s/PhD degree in Computer Science, Information Engineering or similar field or BS and 8+ years Industry experience
  • Experience with discovering problem statements in large scale and complex systems and producing solutions
  • Knowledge of distributed deep learning systems and parallel machine learning workloads
  • Knowledge of industry technology trends and technologies applicable to Meta
  • Familiarity with domain specific accelerators (e.g DPUs, AI accelerators etc)
  • Experience with management is an ambiguous and fast paced environment
  • Organizational, communication and coordination experience.
Preferred Qualifications
  • Familiarity with GPU programming (such as Cuda) and/or performance validation
  • Familiarity with high bandwidth proprietary interconnects for accelerators (such as NVLink, XGMI)
  • Familiarity with architectural trade-offs in board design, high speed signal integrity, bus architecture, rack design and network topology
  • Experience of benchmarking distributed deep learning systems and parallel machine learning workloads
  • Experience in power test and evaluation in prototyping platforms
  • Experience with lab system debug with logic analyzers, scopes, meters, etc.
  • Basic knowledge about chip architecture, µarchitecture and design
  • Strength in mathematics, numerical modeling, stochastic processes, and optimization techniques
  • Familiarity with FPGA hardware tuning (SerDes, voltage, etc.)
  • Proficiency in C, C++ and/or Python
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