Solutions Architect, AI Hyperscalers

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by extraordinary technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing.

NVIDIA is searching for an AI/ML Solutions Architect focusing on Hyperscale customers and Cloud Service Providers. Your primary responsibilities will be to lead software customer technical engagement for AI training, inference and infrastructure being deployed at vast scale. You will work across multiple organizations within NVIDIA as well as at the customer to ensure successful and trouble-free deployments. If you would you like to partner with a large company to build automation and management to create a robust large scale artificial intelligence infrastructure and are interested in the optimization and characterization of customer specific AI models and pipelines - you should apply!

Responsibilities

• Serve as the main point of contact for NVIDIA products as a key technical member of a focused account team, enabling internet giants and cloud providers to have an innovative AI/ML software infrastructure.
• Work directly with engineering teams to secure design wins, address challenges, bring solutions to production, and support them throughout their lifecycle.
• Become a trusted advisor by understanding customer environments, constraints, and long-term strategy; translate insights into product requirements and innovative solutions.
• Help customers enhance the value of NVIDIA technology and provide feedback to NVIDIA for future product improvements.
• Facilitate the resolution of customer issues with timely and proactive communications to mitigate risks.
• Lead workshops, demos, and proof-of-concepts to showcase NVIDIA’s AI/ML capabilities.
• Guide customers on standard processes for scalable AI model deployment and inference optimization.

Requirements

• Minimum of a BS/MS in Computer Science, Electrical Engineering, or equivalent experience.
• 4+ years of engineering experience with a proven track record in AI/ML-focused projects or enterprise-grade solutions.
• Proven understanding of Linux, including solving, optimization, and customization for AI/ML workloads.
• Strong understanding of data science and machine learning infrastructure—software and hardware.
• Professional-level communication skills, with the ability to tailor messages for varying technical audiences and maintain composure in high-pressure situations.
• Excellent follow-up and interpersonal skills, with a passion for problem-solving.
• Proficient in Python, with the ability to develop scripts and build custom tools.
• Experience with parallel programming or GPU acceleration (e.g., CUDA) is helpful.

Ways to stand out

• Experience with Chatbots, RAG pipelines, vector databases, and distributed training or inference workloads.
• Experience or background in HPC (High Performance Computing) environments for AI or ML applications.
• Familiarity with multi-node GPU clusters and performance tuning for large-scale AI workloads.
• Experience developing in cloud and/or virtualized environments, containerized solutions, with knowledge of Docker and Kubernetes.
• Background with common deep learning frameworks such as PyTorch or JAX.

Compensation & Benefits

• Base salary range (by level):
  • Level 3: 148,000 USD - 235,750 USD
  • Level 4: 184,000 USD - 287,500 USD
• You will also be eligible for equity and benefits (see NVIDIA benefits page).

Other details

• Applications for this job will be accepted at least until October 11, 2025.
• NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.