Solutions Architect for AI Enterprise
4 weeks ago
Are you passionate about emerging technologies and AI? We are seeking a skilled Solutions Architect to join our NVIDIA AI Enterprise team.
The mission of our team is to guide and enable the successful adoption of DGX Cloud and NVIDIA AI Enterprise Software in production environments.
DGX Cloud is an AI platform for enterprise developers, optimized for the demands of generative AI. Our team will help optimize the onboarding process for DGX Cloud customers, ensuring fast time to insights and exceptional experience.
We will collaborate with internal teams to scale expertise and knowledge through training and the creation of repeatable guides.
Our focus on building demos, qualifications, and assets will streamline the pre-sales process, ultimately increasing sales and adoption of DGX Cloud.
Key Responsibilities:
- Work closely with DGX Cloud customers, becoming their trusted technical advisor and advocate for their needs.
- Accelerate customer onboarding and time to insights with DGX Cloud.
- Scale knowledge, reach, and opportunities by building and educating vertical teams and communities on DGX Cloud.
- Provide technical education and facilitate field product feedback to improve DGX Cloud.
- Enable successful first-time integration and deployment of NVAIE Emerging SW products with DGX Cloud.
Requirements:
- Strong foundational expertise in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience).
- 5+ years of proven experience with one or more Tier-1 Clouds (AWS, Azure, GCP or OCI) and cloud-native architectures and software.
- Proven experience in technical leadership, strong understanding of NVIDIA technologies, and success in working with customers.
- Expertise with parallel filesystems (e.g. Lustre, GPFS, BeeGFS, WekaIO) and high-speed interconnects (InfiniBand, Omni Path, and Gig-E).
- Strong coding and debugging skills, and demonstrated expertise in one or more of the following areas: Machine Learning, Deep Learning, Slurm, Kubernetes, MPI, MLOps, LLMOps, Ansible, Terraform, and other high-performance AI cluster solutions.
- Proficient in deploying GPU applications in Slurm and Kubernetes.
- Experience with high performance or large scale computing environments.
Preferred Qualifications:
- Hands-on experience with DGX Cloud, NVIDIA AI Enterprise AI Software, Base Command Manager, NEMO and NVIDIA Inference Microservices.
- Experience with integration and deployment of software products in production enterprise environments, and microservices software architecture.
The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
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