Senior Solutions Architect, AI Hyperscalers

AI/ML Solutions Architect – NVIDIA Lead software customer technical engagement for AI training, inference, and infrastructure deployments at hyperscale customers and cloud service providers. Work across multiple NVIDIA organizations and at the customer to ensure successful and trouble‑free deployments. Responsibilities Serve as the main point of contact for NVIDIA products, enabling internet giants and cloud providers to build innovative AI/ML software infrastructure. Work directly with best‑in‑class engineering teams to secure design wins, address challenges, bring solutions to production, and support them throughout their lifecycle. Be a trusted advisor by understanding the customer’s environment, constraints, and long‑term strategy, and translate these insights into product requirements and innovative solutions. Help customers enhance the value of NVIDIA technology and provide feedback for future product improvements. Facilitate the resolution of customer issues, offering timely and proactive communications to mitigate risks. Lead workshops, demos, and proof‑of‑concepts to showcase NVIDIA’s AI/ML capabilities. Guide customers on standard processes for scalable AI model deployment and inference optimization. Qualifications BS/MS in Computer Science, Electrical Engineering, or equivalent experience. 8+ years of engineering experience with a proven track record in AI/ML‑focused projects or enterprise‑grade solutions. Proven understanding of Linux, including optimization and customization for AI/ML workloads. Strong understanding of data science and machine learning infrastructure—software and hardware. Professional‑level communication skills, including tailoring messages for varying technical audiences and maintaining composure in high‑pressure situations. Excellent follow‑up and interpersonal skills, with a true passion for problem‑solving. Proficient in Python, with the ability to develop scripts and build custom tools. Experience with parallel programming or GPU acceleration (e.g., CUDA) is helpful. Shown eagerness to learn and apply new technologies. Stand Out Experience with chatbots, RAG pipelines, vector databases, and distributed training or inference workloads. Experience or background in HPC (High Performance Computing) environments for AI or ML applications. Familiarity with multi‑node GPU clusters and performance tuning for large‑scale AI workloads. Experience developing in cloud and/or virtualized environments, containerized solutions, with knowledge of Docker, Kubernetes. Background with common deep learning frameworks such as PyTorch or JAX. Salary Base salary: Level 4 – $184,000 to $287,500; Level 5 – $224,000 to $356,500. Eligible for equity and benefits. Benefits Equity and benefits. EEO Statement NVIDIA is a committed equal opportunity employer. We do not discriminate 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. #J-18808-Ljbffr NVIDIA Gruppe