Used Tools & Technologies
Not specified
Required Skills & Competences ?
Ansible @ 5 Docker @ 5 Kubernetes @ 5 Linux @ 6 Python @ 6 Leadership @ 3 Bash @ 6 Networking @ 3 Debugging @ 3 Technical Leadership @ 3 GPU @ 3Details
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.
Responsibilities
- Guide partners in their adoption of end-to-end Agentic AI solutions using NVIDIA's compute, networking, and software stacks.
- Provide hands-on technical leadership (not just high-level presentations) using cloud-native methodologies, low-latency networks, and accelerated compute to help build modern AI factories.
- Deliver demos, assist with proofs-of-concept, write papers and developer blogs, and share knowledge across technical and executive stakeholders.
- Collaborate with executives and engineering teams to solve complex problems and deploy NVIDIA technologies in the cloud and in the datacenter.
- Deploy, configure, debug, and operationalize large-scale AI/HPC clusters on-premises and in hybrid/cloud environments.
Requirements
- 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.
- 5+ years of proven experience with cluster management and related tools, including Docker, Slurm, Kubernetes, and Ansible.
- Hands-on experience with networking, storage, cluster configuration, and debugging.
- Strong analytical and problem-solving skills and the ability to articulate technical concepts to others.
- Ability to multitask efficiently in a dynamic environment.
Ways to stand out / Preferred qualifications
- Strong channel sales knowledge and partner co-selling experience.
- Strong coding and debugging skills, including experience with Python, C/C++, Bash, and Linux utilities.
- Demonstrated expertise via projects or open-source contributions involving GPU workloads, Kubernetes, InfiniBand, Ethernet, or other high-performance cluster and hybrid cloud technologies.
- 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.
Compensation & Benefits
- Base salary range for Level 3: 148,000 USD - 235,750 USD.
- Base salary range for Level 4: 184,000 USD - 287,500 USD.
- You will also be eligible for equity and benefits.
Other information
- Applications for this job will be accepted at least until August 25, 2025.
- NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. They do not discriminate 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.