Description
NVIDIA is seeking a Solutions Architect to join the Infrastructure, Planning and Process (IPP) Cloud Infrastructure Team. This team supports various NVIDIA groups, including Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence, and Driverless Cars, by providing cloud services that handle nearly half a million automated jobs daily across thousands of servers. These services support the productivity of thousands of NVIDIA software engineers globally.
The successful candidate will work on designing and building the next generation of cloud services. They will collaborate with NVIDIA product teams to understand new product roadmaps and requirements, primarily for Rack Scale AI Products, and find optimal solutions for deploying these products in datacenter or lab environments.
Responsibilities:
- Work with NVIDIA Product Teams to understand new product roadmaps and requirements primarily Rack Scale AI Products.
- Find optimum solutions to deploy these products in a datacenter or lab environment using sophisticated design techniques, services, and tools.
- Assist in the rollout and deployment of new development features aimed at supporting the latest NVIDIA hardware and technologies.
- Collaborate with world-class engineers, architects, technical product managers, and application developers to set strategies for product launches.
- Define and implement full-scale solutions for product onboarding into hosted and private cloud environments.
- Solve complex problems involving multi-site deployments of NVIDIA products and contribute to the quality of deployments and improving time-to-market for next-gen products.
- Work with multi-functional teams, including system engineering, software engineering, mechanical/thermal engineering, operations, data center teams, external vendors, and partners to deliver reliable and robust platforms.
- Integrate and optimize cluster deployment methods and manage software stack deployments, including provisioning these services into the cloud.
Requirements:
- Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience.
- 12+ years of relevant experience.
- 6+ years of Linux and scripting experience.
- Solid background in OS kernels and system engineering.
- Ability to quickly understand new technologies and deploy systems in sophisticated configurations.
- Strong technical skills and understanding of embedded systems, orchestration & automation systems, data centers, and cloud architecture.
- Excellent communication and planning skills.
- Strong problem-solving ability and experience in product engineering/failure analysis and debug/HW or test design.
- Understanding of dense datacenter design, including compute, storage, and networking.
Preferred Qualifications:
- Understanding of software engineering principles and enterprise system architecture.
- Experience with GPU and compute clusters administration & automation.
- Experience in large-scale QA environments for product bring-ups.
- Special skills in large-scale computing and cluster computing (MPI), data center design including high-speed interconnect InfiniBand, Cluster Storage, and Scheduling-related design and/or management experience.
NVIDIA offers equity and benefits to its employees.