Senior Advanced Development Architect

NVIDIA is looking to hire a deeply technical, creative, and hands-on advanced development researcher to prototype and evaluate novel networking technologies for NVIDIA's Ethernet datacenter solutions, covering distributed AI training, High-Performance Computing, Cloud, Storage Big Data, network programmability, end-to-end network software stacks, and SDN. NVIDIA is a world leader in high-performance computing technology, AI, and networking with high-reaching plans for future systems. This position offers the opportunity to have a real impact in a research-focused team in a dynamic company. The network advanced development group is chartered to research and incubate new technologies that will re-define the future data centers and supercomputer performance and functionality. Advanced development Software researchers represent us in open-source projects, conferences, and standard bodies.

What You'll Be Doing

• Developing proof-of-concept implementations of new technologies, and thereafter guiding their incorporation in company products.
• Developing a variety of software stacks, APIs and algorithms for various purposes.
• Evaluation and analyzing new technologies at scale.
• Optimizing collective communications and distributed AI training, and HPC communications. Improving performance on NVIDIA's supercomputers, researching distributed solutions for next-gen data centers networking.
• Software development and architecture, ranging from application behavioral analysis and Algorithms, network simulations, middleware, and API design, down to implementing OS subsystems, device drivers, FW, and HW modeling.
• Work with customers and Guide R&D teams.
• Customer engagements, academic research collaborations publishing white papers, blogs, RFCs, and conference lectures/BOFs.
  
  

• BSc/MSc/PhDs in Computer science or Electrical Engineering, or equivalent experience.
• 4+ years of relevant practical experience.
• Experienced in Hardware/Software/Firmware integrations.
• Able to work independently.
• Clear verbal and written communication with the proven ability to build consensus within a large organization.
  
  

• Experience with distributed AI training frameworks, or collective communication libraries.
• Practice with innovative network projects and collaborations like SONiC/SAI, P4.
• Experience with Ethernet/IP technologies in the data center or edge.
• Demonstrated ability to innovate and lead new technologies leading to product impact.