Principal Solutions Architect

🔥 14 hours ago

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $272k - $431.3k / year

⏰ Full Time

🔴 Lead

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 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's innovative hardware and software solutions • Partner with SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, and secure business opportunities for NVIDIA • Become the primary technical driver for customers during the design, development, construction, integration, and production of GPU Cloud infrastructure and applications throughout the entire customer lifecycle • Conduct regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, and debugging sessions • Work closely with customers to build and adopt NVIDIA solutions, including PoCs, to address critical business needs covering infrastructure, libraries, and applications • Prepare and deliver technical content to customers, including presentations, workshops, reference architectures, tutorials, and publications • Drive outtake and consumption by integrating libraries, frameworks, models, and software applications • Deliver GenAI, AI, and ML hardware/software to production with consequential customers and partners • Own end-to-end technology solution integration with strategic customers and offer product strategy recommendations based on feedback

🎯 Requirements

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience • 15+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering, Solution Architecture) including experience working directly with partners and customers • Experience crafting and deploying large-scale cluster environments • Hands-on experience designing, developing, delivering distributed Cloud architectures • Strong fundamentals in programming, optimizations and software design, especially in Python and Deep Learning frameworks such as PyTorch and TensorFlow • Practical expertise fine tuning and deploying models, integrating software application stacks, libraries, and frameworks to drive consumption from GPU platforms • Motivation and skills to own and drive complex multi-disciplinary technical engagements with customers throughout the full customer lifecycle and cross-functional teams • Efficient time management and capable of balancing multiple tasks • Excellent presentation, communication and collaboration skills • Self-starter with a passion for growth, continuous learning, and sharing insights • Practical experience with NVIDIA GPUs, software libraries, frameworks, and foundation models, such as NVIDIA Nemotron, NVIDIA NeMo Framework, NVIDIA Dynamo, NeMo Retriever, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM, NVIDIA CUDA-X • Hands-on expertise with scaled AI cloud environments (e.g., AWS, Azure, GCP) and on-premises / hybrid infrastructure, in particular inference and training workloads • Familiarity with NVIDIA hardware (such as GPUs, networking, storage) and systems technology such as NCCL, DCGM, UFM, Mission Control, Base Command Manager • Proficiency with large-scale AI model training / deployment encompassing GPU systems, performance testing, AI benchmarking, fine tuning, strong focus on MLOps and cluster orchestration (SLURM, K8s, orchestrator, load balancing, cloud architecture) • Experience working with enterprise developers and strong customer-facing skills

🏖️ Benefits

• Equity • Benefits