Role at a glance
- Salary
- $224K – $356.5K/yr
- Location
- Remote - US - Virginia
- Work arrangement
- Remote
- Employment
- Full-time
- Experience
- 12 plus years of proven experience with cluster management and related tools
- Education
- a BS, MS, or PhD in Engineering, Computer Science, or a related field (or equivalent experience)
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Role Summary
The Solution Architect will join NVIDIA's Partner Network team, helping partners and customers deploy and operationalize large-scale AI and HPC hybrid computing solutions. The role supports end-to-end Agentic AI solutions using NVIDIA compute, networking, and software stacks across cloud and datacenter environments.
What You'll Do
- Guide partners in adopting end-to-end Agentic AI solutions
- Help build modern AI factories using cloud native methodologies, low latency networks, and accelerated compute
- Deliver demos and assist with proof-of-concepts
- Write papers and developer blogs
- Collaborate with executives and engineering to solve complex problems
- Help bring NVIDIA technologies to life in the cloud and datacenter
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Strong foundational expertise; established track record working with AI and HPC clusters, both on-premises and cloud based; experience with Docker Containers, Slurm, Kubernetes, Ansible, network, storage, cluster configuration and debugging; strong analytical and problem-solving skills; ability to multitask efficiently in a dynamic environment.
Required
- Strong foundational expertise
- BS, MS, or PhD in Engineering, Computer Science, or a related field (or equivalent experience)
- Established track record working with AI and HPC clusters, both on-premises and cloud based
- 12 plus years of proven experience with cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible
- Hands-on experience with network, storage, cluster configuration and debugging
- Strong analytical and problem-solving skills
- Ability to articulate what you know to others
- Ability to multitask efficiently in a dynamic environment
Preferred
- Strong coding and debugging skills, including experience with Python, C/C++, Bash, and Linux utilities
- Projects or Open Source contributions involving GPU workloads, Kubernetes, InfiniBand, Ethernet, or other areas related to...
- Hands on experience with NVIDIA AI Enterprise, Base Command Manager, Run:ai and NVIDIA NIMs
- Willingness and ability to learn quickly and solve advanced problems
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Want to be part of a team that's revolutionizing the field of AI with data center scale solutions? We are looking for a hardworking Solution Architect with experience in designing, building, and maintaining large scale HPC and AI hybrid computing solutions to join our team at NVIDIA. As Solution Architects on the NVIDIA Partner Network team›, we are actively helping NVIDIA AI Factory solutions bring the benefits of large scale AI to customers through our partners. We work closely with customers and partners to address unsolved problems in the industry and help to deploy and operationalize AI solutions at scale.
What you'll be doing:
Our day-to-day work involves guiding partners in their adoption of end-to-end Agentic AI solutions, using NVIDIA's compute, networking, and software stacks. Don't think this is a high-level slideshow job - we are the voice of experience, using cloud native methodologies, low latency networks, and accelerated compute to help build modern AI factories. We also excel at sharing knowledge with others, whether it's delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs. By collaborating with executives and engineering, we solve complex problems and help bring NVIDIA's premiere technologies to life in the cloud and in the datacenter. Our mission is to solve the problems that nobody else has solved yet, and we need someone to be an instrumental part of that!
What we need to see:
Strong foundational expertise and a BS, MS, or PhD in Engineering, Computer Science, or a related field (or equivalent experience).
Established track record working with AI and HPC clusters, both on-premises and cloud based.
12 plus years of proven experience with cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible.
Hands-on experience with network, storage, cluster configuration and debugging.
Strong analytical and problem-solving skills, along with an ability to articulate what you know to others.
Ability to multitask efficiently in a dynamic environment.
Ways to stand out from the crowd:
Strong coding and debugging skills, including experience with Python, C/C++, Bash, and Linux utilities.
Demonstrated expertise through projects or Open Source contributions involving GPU workloads, Kubernetes, InfiniBand, Ethernet, or other areas related to high-performance clusters and hybrid cloud solutions.
Exhibit hands on experience with NVIDIA AI Enterprise, Base Command Manager, Run:ai and NVIDIA NIMs.
Willingness and ability to learn quickly and solve advanced problems.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.