Solutions Architect, AI and ML

🔥 1 minute ago

🏄 California, Washington – Remote

infoinfo

💵 $152k - $287.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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Logo of NVIDIA

NVIDIA

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

• Work with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA ML/DL and data science software and hardware technologies • Build and deploy AI/ML solutions at scale using NVIDIA AI software on cloud-based GPU platforms • Build custom proofs of concept addressing customers’ critical business needs with NVIDIA hardware and software • Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities • Prepare and deliver technical customer content, including presentations and workshops • Conduct regular technical customer meetings covering project and product roadmaps, feature discussions, and new technologies • Establish close technical ties with customers to facilitate rapid resolution of customer issues • Engage directly with developers, researchers, and data scientists, and collaborate with business and engineering teams on product strategy • Drive end-to-end technology solutions using NVIDIA technologies based on customer business needs

🎯 Requirements

• 4+ years of Solutions Engineering or similar Sales Engineering experience • 3+ years of work-related experience in Deep Learning and Machine Learning • Experience with deep learning frameworks TensorFlow or PyTorch • GPU and CUDA experience helpful • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or another Engineering field, or equivalent experience • Track record of deploying solutions in cloud computing environments including AWS, GCP, or Azure • Knowledge of DevOps/ML Ops technologies such as Docker/containers, Kubernetes, and data center deployments • Ability to use at least one scripting language, such as Python • Good programming and debugging skills • Ability to communicate ideas and code clearly through documents and presentations • AWS, GCP, or Azure Professional Solution Architect Certification is a preferred differentiator • Hands-on experience with NVIDIA GPUs and SDKs such as CUDA, RAPIDS, and Triton is preferred • System-level experience with GPU-based systems is preferred • Experience with Deep Learning at scale is preferred • Familiarity with parallel programming and distributed computing platforms is preferred

🏖️ Benefits

• Equity • Benefits • Occasional travel for local on-site customer visits and industry events

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