Software Architecture Engineer

Requirements:

• Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, or equivalent experience.
• 5+ years of experience building large-scale distributed systems or performance-critical software.
• Deep understanding of deep learning systems, GPU acceleration, and AI model execution flows.
• Solid software engineering skills in C++ and/or Python, with strong familiarity with CUDA or similar platforms.
• Strong system-level thinking across memory, networking, scheduling, and compute orchestration.
• Excellent communication skills and ability to collaborate across diverse technical domains.

Nice to haves:

• The position requires deep knowledge of networking protocols, system architecture, and end-to-end performance analysis.
• Knowledge in high-speed networking technologies, InfiniBand, Ethernet/IP, or data center networking.
• Proven experience with network simulation tools, traffic analysis, or networking stack optimization.
• Experience in distributed AI training, parallel computing, or HPC cluster architectures.
• Understanding of GPU computing, CUDA programming, or AI/ML workload characteristics is a plus.

What you'll be doing:

• Design and analyze end-to-end networking architectures for large-scale AI workloads and distributed training systems.
• Pushing the boundaries of AI-cluster networking through performance modeling, simulation, and optimization techniques.
• Defining strategic networking solutions for NVIDIA's AI infrastructure in collaboration with adjacent software and hardware architects.
• Collaborating closely with cross-functional teams to research, prototype, and validate new networking technologies for AI applications.

Perks and benefits:

• Competitive salaries
• Generous benefits package
• Working alongside experienced and talented individuals
• A dynamic, inclusive environment