Solutions Architect - Accelerated Computing job opportunity at NVIDIA.

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DateMore Than 30 Days Ago bot
NVIDIA Solutions Architect - Accelerated Computing
Experience: 5-years
Pattern: full-time
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loacation US, CA, Santa Clara, United States Of America
loacation US, CA, Santa ..........United States Of America

We are looking for an Accelerated Computing Solutions Architect! NVIDIA is searching for a Solutions Architect with expertise in AI, Machine Learning, and HPC including performance optimization, application development and networking technologies. Primary responsibilities will be to lead technical engagements with customers as they investigate performance optimization and improvements for their large scale AI and HPC application deployments. Would you like to collaborate with some of the biggest companies developing brand-new AI solutions by applying both NVIDIA and cloud technologies and optimizing them for outstanding performance? Interested in broadening your skills in building robust AI pipelines and deployment of large-scale AI models in the cloud? Then read on! What you’ll be doing: Work with NVIDIA Cloud Service Providers and NVIDIA Cloud Partners on accelerated computing and performance optimization problems Guide customers through their journey from cluster and application deployment as well as optimization towards large-scale AI training and inference and HPC Build custom product demonstrations and PoCs for solutions addressing critical customer business needs as well as analyze, debug and optimize customer workloads Conduct regular technical customer meetings for project/product details, feature discussions, introductions to new technologies Prepare and deliver technical content to customers at workshops, conferences, etc. What we need to see: BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering/Science or equivalent experience. Motivation and skills to help drive technical pre-sales activities 5+ years of Solutions Engineering, Solutions Architecture or similar Sales Engineering experience Practical knowledge of data center scale optimization - data center topologies, networking software optimization Knowledge of software development - specifically Python, scripting, etc. Ability to communicate ideas clearly through documentation, presentations, customer meetings, etc. Ways to stand out from the crowd: External customer facing skill-set and background Hands-on experience developing AI applications using NVIDIA technologies (GPUs and/or software) and optimizing/debugging performance with NCCL, etc. Cloud experience (applying cloud concepts like Database, etc. in developing workflows for customer use cases) Hands-on experience with GPU systems in general including but not limited to AI workflow development, performance development, AI benchmarking, etc Effective time management and capability to balance multiple tasks and multiple customers at once while thinking creatively to debug and solve problems Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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