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Senior Software Architect, AI Systems and GPU Networking
PresencialTiempo completoSoftware ArchitectureComputer Hardware
Join an AI networking research team developing architecture and software for accelerated AI data centers. The role combines hands-on technical design, research, hardware co-design, and proof-of-concept development across distributed AI, networking, storage, virtualization, and high-performance-com.
Responsabilidades
- Enhance GPU networking technologies for AI workloads.
- Co-design GPU, DPU, and interconnect hardware features that accelerate data movement and enable inference and model-serving capabilities.
- Evaluate emerging technologies and partner relationships against technical and business goals.
- Lead the architecture and design of runtime systems, communication libraries, and AI-focused technologies.
- Lead proof-of-concept development to evaluate and advance new technologies.
Requisitos
- Master’s or doctoral degree in computer science, electrical engineering, computer engineering, or equivalent experience.
- At least 5 years of industry experience in system architecture, AI systems architecture, AI scaling, AI framework parallelism, or deep learning training workloads.
- Experience with algorithm design, system programming, computer architecture, and operating systems.
- Experience with virtualization, networking, and storage.
- Strong understanding of performance profiling, optimization, and hardware feature definition and use.
- Strong programming and software development skills.
- Ability to communicate and collaborate effectively across multinational, multi-time-zone teams.
Se valora
- Research track record.
- Experience with CPU, GPU, memory, storage, or networking architecture.
- Knowledge of deep learning frameworks and AI communication libraries such as NCCL, UCX, or MPI.
- Understanding of inference and training workloads, including prefill/decode and data or tensor parallelism.
- Strong communication skills and the ability to work autonomously.