Senior Solutions Architect, AI Hyperscalers

🕒 May 14

🏄 California – Remote

🏄 California – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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👻 Ghost score 46%

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Lead software customer technical engagement for AI training, inference, and infrastructure deployed at vast scale • Work across multiple organizations within NVIDIA and at customer organizations to ensure successful, trouble-free deployments • Serve as the main technical point of contact for NVIDIA products for internet giants and cloud providers • Work with engineering teams to secure design wins, address challenges, bring solutions to production, and support customers throughout the product lifecycle • Understand customer environments, constraints, and long-term strategies and translate insights into product requirements and innovative solutions • Help customers enhance the value of NVIDIA technology and provide feedback for future product improvements • Facilitate resolution of customer issues with timely, proactive communications to mitigate risks • Lead workshops, demos, and proof-of-concepts showcasing NVIDIA AI/ML capabilities • Guide customers on standard processes for scalable AI model deployment and inference optimization

🎯 Requirements

• Minimum of a 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 solving, optimization, and customization for AI/ML workloads • Strong understanding of data science and machine learning infrastructure—software and hardware • Professional-level communication skills, including the ability to tailor messages for varying technical audiences and maintain 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 • Shown eagerness to learn and apply new technologies • 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 and Kubernetes • Background with common deep learning frameworks such as PyTorch or JAX

🏖️ Benefits

• Equity • Benefits

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