Senior Accelerated Computing Architect
Description For Senior Accelerated Computing Architect
NVIDIA, the pioneer of GPU technology and AI computing, is seeking a Senior Accelerated Computing Architect to join their team. This role offers a unique opportunity to shape the future of accelerated computing, working at the intersection of AI, HPC, and scientific computing. The position involves collaborating with architecture, software, and product teams to optimize performance for AI and HPC benchmarks on large-scale systems.
The ideal candidate will have a PhD or equivalent experience in Computer Science or related fields, with deep expertise in GPU architecture and parallel programming. You'll be working on groundbreaking technology across various domains including AI, Scientific Computing, Databases, and Life Sciences. The role combines technical leadership with strategic thinking, requiring both strong analytical skills and the ability to communicate effectively across teams.
NVIDIA's legacy began with the invention of the GPU in 1999, which revolutionized computer graphics and parallel computing. Today, as "the AI computing company," NVIDIA is at the forefront of major technological advances, powering everything from gaming to autonomous vehicles. The company offers competitive compensation, including equity, and is known for its innovative culture and commitment to pushing technological boundaries.
This is an exceptional opportunity for someone passionate about high-performance computing and AI to make a significant impact at one of technology's most respected companies. You'll be working with some of the industry's brightest minds, developing solutions that will shape the future of computing across multiple industries.
Responsibilities For Senior Accelerated Computing Architect
- Collaborate across the company to guide the direction of Accelerated Computing HW/SW
- Drive efforts to optimize and deliver high performance for key AI and HPC benchmarks on large scale systems
- Co-design and accelerate benchmarks and application by identifying and alleviating top compute, node, and network issues
- Generate projections and analysis reports for internal/external consumption
- Drive and deliver groundbreaking technology for HPC domains including AI, Scientific Computing, Databases, Finance, Life Sciences
Requirements For Senior Accelerated Computing Architect
- PhD (or equivalent experience) with 5+ years in Computer Science, Electrical Engineering or Computer Engineering or related STEM degree
- Experience in delivering performance on large scale systems for AI/HPC applications
- Experience in hardware/HPC performance analysis and/or architecture
- Familiarity with GPU architecture computing and/or algorithm analysis and parallel programming models
- Good organizational, time management and task prioritization skills
- Strong communication and interpersonal skills
- Ability to work in a dynamic, product oriented, distributed team
Benefits For Senior Accelerated Computing Architect
- Equity
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