Principal Solutions Architect

This is a fully remote position, open to applicants in Maryland.

📋 Description

• Collaborate with NVIDIA Cloud Partners to design, implement, and deliver NVIDIA's cutting-edge hardware and software solutions.

• Work alongside SAs, Account Managers, Engineering, Product, and business leaders to synchronize strategies, evaluate technical requirements, and secure business opportunities for NVIDIA.

• Act as the primary technical resource for customers throughout the design, development, construction, integration, and production phases of GPU Cloud infrastructure and applications during the entire customer lifecycle.

• Conduct regular technical meetings with customers to discuss project/product specifics, feature enhancements, introduce new technologies, and facilitate debugging sessions.

• Collaborate closely with customers to develop and implement NVIDIA solutions, including Proofs of Concept (PoCs), to meet essential business requirements across infrastructure, libraries, and applications.

• Prepare and present technical content to customers, which includes presentations, workshops, reference architectures, tutorials, and publications.

• Promote usage and integration by incorporating libraries, frameworks, models, and software applications.

• Deliver GenAI, AI, and ML hardware/software to production alongside key customers and partners.

• Manage end-to-end technology solution integration with strategic customers and provide product strategy recommendations based on insights gathered.

⛳️ Requirements

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering disciplines, or equivalent experience.

• Over 15 years of experience in Solution Engineering (or similar roles such as Sales Engineering, Cloud Engineering, or Solution Architecture), including direct engagement with partners and customers.

• Proven experience in designing and deploying large-scale cluster environments.

• Hands-on experience in designing, developing, and delivering distributed Cloud architectures.

• Strong foundational knowledge in programming, optimizations, and software design, particularly in Python and Deep Learning frameworks like PyTorch and TensorFlow.

• Practical expertise in fine-tuning and deploying models, as well as integrating software application stacks, libraries, and frameworks to enhance usage of GPU platforms.

• A proactive approach and skills to oversee and drive complex multi-disciplinary technical engagements with customers throughout the complete customer lifecycle and across functional teams.

• Effective time management skills and the ability to juggle multiple tasks efficiently.

• Outstanding presentation, communication, and collaboration abilities.

• Self-motivated individual with a passion for growth, continuous learning, and sharing insights.

• Hands-on experience with NVIDIA GPUs, software libraries, frameworks, and foundational models such as NVIDIA Nemotron, NVIDIA NeMo Framework, NVIDIA Dynamo, NeMo Retriever, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM, and NVIDIA CUDA-X.

• Practical expertise with large-scale AI cloud environments (e.g., AWS, Azure, GCP) and on-premises/hybrid infrastructures, particularly for inference and training workloads.

• Familiarity with NVIDIA hardware (such as GPUs, networking, storage) and systems technologies including NCCL, DCGM, UFM, Mission Control, and Base Command Manager.

• Proficient in large-scale AI model training/deployment involving GPU systems, performance testing, AI benchmarking, fine-tuning, with a strong emphasis 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