Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Linux @ 3
Communication @ 6
Networking @ 3
Android @ 3
QA @ 3
System Architecture @ 3
GPU @ 3
Deep Learning @ 3
AI @ 3
InfiniBand @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is looking for a Solutions Architect to work in IPP's (Infrastructure, Planning and Process) Cloud Infrastructure Team. IPP is a global organization within NVIDIA. This group works with various other groups within NVIDIA such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure needs. These cloud services provide almost half a million automated jobs per day on thousands of servers helping with the productivity of thousands of NVIDIA's software engineers worldwide. The cloud hosts a heterogeneous mix of machines and devices with various operating systems (Windows/Linux/Android), a multitude of hardware platforms both NVIDIA GPUs and Tegra Processors.
Are you passionate about distributed infrastructure and looking for sophisticated, critical issues, ready to build the next generation of cloud services, design creative solutions, mine through data to uncover real problems and fix them?
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 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.
- Define and implement full scale solutions for product onboarding into 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.
- 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 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 on OS kernels and system engineering.
- Proven ability to quickly understand new technologies outside of your domain expertise and deploy 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, hardware or test design.
- Understanding of dense datacenter design including compute, storage and networking.
Ways to stand out from the crowd
- 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.
Compensation & Additional Info
- Base salary range: 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 is an equal opportunity employer.