Nvidia Solutions Architect Infrastructure - Research Computing 

United States, Texas 

620078693

What you will be doing:

• Coordinate and lead highly technical multi-functional teams

• Drive continuous improvement of execution to enable ever-faster delivery of ever-more-complex software with world-class quality

• Supervise engineering and program execution for future-generation software delivery, creatively and collaboratively optimizing plans on the fly

• Review new product designs for technical feasibility on behalf of DL/AI software organization with an eye for cross-functional complexity and its impact on ongoing development

• Advise senior management on design directions, software readiness, and delivery plans

• Present to internal collaborators and NVIDIA leadership on roadmaps, vision, and design decisions; lead technical deep dives and lessons learned to align teams

• Optimize resource sharing and utilization across teams to reduce time to delivery

What we need to see:

• 15+ yrs of experience with designing and building complex software systems, especially in C++ and Python

• Practical experience with industry-standard semiconductor development workflows and the process of system and application software bringup for next-gen hardware

• BS/MS degree in Computer science or related areas (or equivalent experience)

• Proven track record driving multi-functional teams across disparate divisions and fields within a company, working collaboratively and coordinating effectively

• Highly motivated with excellent verbal and written communication skills

• Ability to detect problems and misalignments and guide engineering teams across the entire AI software and hardware stack toward creative solutions

Ways to stand out from the crowd:

• Prior experience developing DL/AI systems software, including frameworks, libraries, or kernels for mathematical or communication operators used in DL/AI

• Deep understanding of software performance analysis and optimization

• Solid understanding of modern Program Management methodologies and tools and a passion for engineering process optimization

• Understanding of distributed systems and High Performance Computing workloads