The Principal Architect role at NVIDIA focuses on leading the research agenda and architectural direction for AI communication systems. The team is dedicated to solving complex infrastructure challenges in AI, particularly in data movement across GPUs, DPUs, NICs, and storage. This position requires a deep understanding of systems software and networking, as well as the ability to translate research into production-grade software. The role also involves mentoring engineers and representing NVIDIA in industry forums.

• 15+ years in systems software and/or networking with expertise in high-performance networking and communication libraries.
• MS, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Deep understanding of computer architecture, memory hierarchies, DMA engines, and OS-level networking.
• Understanding of ML systems concepts such as transformer architectures and distributed training patterns.
• Proficiency in programming languages such as C, C++, Rust, and Python.

• Set the long-term technical vision for distributed AI communication systems.
• Conduct original research and prototype next-generation networking solutions.
• Drive hardware-software co-optimization with various hardware components.
• Investigate fundamental bottlenecks in communication runtimes for large-scale AI workloads.
• Integrate networking capabilities into AI serving stacks and publish findings.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.