Senior Solutions Architect, Cloud Partners

🔥 14 hours ago

🏄 California, New York, +3 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Collaborate with NVIDIA Cloud Partners to create, implement, and deliver NVIDIA hardware and software solutions • Partner with Solutions Architects, Account Managers, Engineering, Product, and business leaders to align strategies, assess technical needs, and secure business opportunities • Serve as the primary technical driver for customers through the design, development, construction, integration, and production of GPU Cloud infrastructure and applications across the customer lifecycle • Conduct regular technical customer meetings covering project and product details, feature discussions, new technology introductions, and debugging • Build and drive adoption of NVIDIA solutions, including proofs of concept, to address critical business needs across infrastructure, libraries, and applications • Prepare and deliver technical content, including presentations, workshops, reference architectures, tutorials, and publications • Own end-to-end technology solution integration with strategic customers • Provide product strategy recommendations based on customer and partner feedback • Deliver GenAI, AI, and ML hardware and software to production

🎯 Requirements

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience • 10+ years of Solution Engineering or similar Sales Engineering, Cloud Engineering, or Solution Architecture experience, including direct partner and customer experience • Experience crafting and deploying large-scale cluster environments • Hands-on experience designing, developing, and delivering distributed cloud architectures • Strong fundamentals in programming, optimization, and software design • Proficiency in Python and deep learning frameworks such as PyTorch and TensorFlow • Practical expertise fine-tuning and deploying models • Experience integrating software application stacks, libraries, and frameworks to drive GPU platform consumption • Ability to own and drive complex multidisciplinary technical engagements throughout the customer lifecycle and across cross-functional teams • Efficient time management and ability to balance multiple tasks • Excellent presentation, communication, and collaboration skills • Self-starter with passion for growth, continuous learning, and sharing insights • Practical experience with NVIDIA GPUs, software libraries, frameworks, and foundation models • Hands-on expertise with scaled AI cloud environments such as AWS, Azure, and GCP, and on-premises/hybrid infrastructure • Familiarity with NVIDIA hardware and systems technologies such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager • Proficiency with large-scale AI model training/deployment, GPU systems, performance testing, AI benchmarking, fine-tuning, MLOps, cluster orchestration, SLURM, Kubernetes, orchestrators, load balancing, and cloud architecture • Experience working with enterprise developers and strong customer-facing skills

🏖️ Benefits

• Equity • Benefits