Solutions Architect - Rack Scale AI Systems
Indexed description
What You'll Be Doing
- Work with NVIDIA Product Teams to understand new product roadmaps and requirements primarily Rack Scale AI Products.
- Finding Optimum Solutions to deploy these products in a Datacenter or a Lab environment using sophisticated design techniques, services and tools.
- Assist in roll-out and deployment of new development features aimed at supporting the latest NVIDIA hardware and technologies.
- Work closely with world-class engineers, architects, technical product managers and application developers setting the best strategies in place for a product launch.
- Defining and implementing 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 next gen products.
- 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.
- Integrate and Optimize Cluster Deployment methods and manage SW stack deployments, including provisioning these services into the cloud.
- 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 on OS Kernels and system engineering.
- A track record of quickly understanding new technologies outside of your domain expertise and deploying systems in sophisticated configurations from hardware through multiple layers of software in a fast-paced environment.
- Strong technical skills and understanding of embedded systems, orchestration & automation systems, data centers and cloud architecture, as well as 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.
- 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 include high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 333,500 USD for Level 5, and 256,000 USD - 414,000 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until February 1, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and 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.
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