Senior Solutions Architect – NVIDIA Cloud Partners

This is a fully remote position, open to applicants in California, +4 more states.

📋 Description

• Collaborate with NVIDIA Cloud Partners to develop, implement, and deliver NVIDIA hardware and software solutions.

• Work alongside Solutions Architects, Account Managers, Engineering, Product, and business leaders to align strategies, evaluate technical requirements, and secure business opportunities.

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

• Hold regular technical meetings with customers to discuss project and product specifics, feature explorations, new technologies, and debugging processes.

• Create and adopt NVIDIA solutions, including proofs of concept, to address essential infrastructure, library, and application requirements.

• Prepare and deliver technical presentations, workshops, reference architectures, tutorials, and publications to clients.

⛳️ Requirements

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

• Over 6 years of experience in Solution Engineering or related fields such as Sales Engineering, Cloud Engineering, or Solution Architecture, including direct interaction with partners and customers.

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

• Practical experience in designing, developing, and delivering distributed Cloud architectures.

• Strong foundational knowledge in programming, optimizations, and software design principles.

• Extensive experience with Python and deep learning frameworks like PyTorch and TensorFlow.

• Hands-on expertise in fine-tuning and deploying models.

• Experience in integrating software application stacks, libraries, and frameworks to enhance consumption from GPU platforms.

• Capability to manage and lead complex multidisciplinary technical engagements throughout the complete customer lifecycle.

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

• Excellent presentation, communication, and collaboration abilities.

• Self-motivated with a desire for personal growth, continuous learning, and sharing knowledge.

• Practical experience with NVIDIA GPUs, software libraries, frameworks, and foundational models.

• Hands-on experience with scaled AI cloud environments like AWS, Azure, and GCP, as well as on-premises/hybrid infrastructures.

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

• Proficiency in large-scale AI model training and deployment, GPU systems, performance testing, AI benchmarking, fine-tuning, MLOps, and cluster orchestration.

• Experience with SLURM, Kubernetes, orchestrators, load balancing, and cloud architecture.

• Experience working with enterprise developers and strong customer-facing skills.

🏝️ Benefits

• Equity

• Benefits

• Up to 40% travel may be required