Senior Solutions Architect, Generative AI
Nvidia
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How this pay compares to similar roles
This role pays more than 71% of similar roles. Most pay $170,000–$246,150 — the shaded band above. At the midpoint, this role pays about $236k versus about $208k for comparable roles.
Based on 240 similar postings.
Employer
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 984 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 970 roles with salary data.
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At a glance
NVIDIA seeks an experienced AI Solutions Architect for a customer-facing role, requiring hands-on expertise in efficient AI model training and deployment. This senior-level position involves collaborating with customers to enhance workload performance and reduce costs, leading technical engagements, developing proof-of-concepts for AI solutions in the Consumer Internet industry, and creating necessary documentation. The ideal candidate will develop and debug software using NVIDIA’s and open-source AI frameworks, partnering closely with internal teams to secure design wins based on customer feedback. Essential qualifications include a degree in Computer Science or related field, 8+ years of experience coding in Python and C++ with GPUs, proficiency in profiling and optimizing model performance, and strong communication skills for conveying technical ideas effectively. Additional desirable skills encompass full-stack knowledge from deep learning frameworks to CUDA/CUTLASS/cuDNN/NCCL, familiarity with MLOps technologies like Kubernetes, and creative problem-solving abilities.
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