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 Solutions Architect will collaborate with various NVIDIA product teams to design and implement cloud services that support the company's 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

• 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

• Understanding of software engineering principles and enterprise system architecture.

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

The base salary range is $208,000 - $333,500 for Level 5 and $256,000 - $414,000 for Level 6.

Schedule

Not specified.

Benefits

Not specified.

Skills

• 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.

Ways to stand out

Understand the importance of diversity and inclusion in the workplace and actively promote a culture of respect and fairness. Strive to continuously learn and grow professionally, and seek opportunities to mentor and develop others. Demonstrate a commitment to ethical behavior and a strong work ethic. Show enthusiasm for NVIDIA's mission and vision, and be proactive in contributing to the success of the company.