Solutions Architect - Rack Scale AI Systems

About the role

NVIDIA is seeking a Solutions Architect to join the IPP (Infrastructure, Planning and Process) Cloud Infrastructure Team. The role is part of a global organization within NVIDIA that collaborates with various other groups, including Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence, and Driverless Cars, to meet their infrastructure needs.

Responsibilities

• Work with NVIDIA Product Teams to understand new product roadmaps and requirements, particularly for Rack Scale AI Products.
• Find optimum solutions to deploy these products in a Datacenter or a Lab environment using sophisticated design techniques, services, and tools.
• Aid in the roll-out and deployment of new development features aimed at supporting the latest NVIDIA hardware and technologies.
• Collaborate with multi-functional teams, including system engineering, software engineering, mechanical/thermal engineering, operations, data center teams, external vendors, and other partners to successfully deliver a reliable and robust platform from concept to prototype to deployments.
• Define and implement full scale solutions for product onboarding into our hosted and private cloud environments.
• Solve sophisticated problems involving multi-site deployments of NVIDIA products and directly contribute to the overall quality of deployments and improve time to market for next gen products.
• 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.
• 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.

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.

Skills

• Software engineering principles and enterprise system architecture.
• GPU and compute clusters administration & automation.
• Large scale QA environments for product bring-ups.
• Large-scale computing and cluster computing(MPI).
• Data center design including high-speed interconnect InfiniBand, cluster storage, and scheduling.

Benefits

NVIDIA offers competitive compensation packages, including base salaries ranging from $208,000 to $333,500 for Level 5 and $256,000 to $414,000 for Level 6, depending on location, experience, and the pay of employees in similar positions. Additionally, employees are eligible for equity and benefits.

Pay

Base salary range: $208,000 - $333,500 for Level 5, and $256,000 - $414,000 for Level 6.

Schedule

Not specified.

Benefits

Not specified.

Company Information

NVIDIA is a leader in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.