Solutions Architect, Data Center Infrastructure
at Nvidia
π United States
$120,000-230,000 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Security @ 3 Kubernetes @ 3 Linux @ 3 Python @ 3 Communication @ 6 Networking @ 3 Performance Optimization @ 3Details
Are you passionate about building the next generation of AI data centers? We are looking for an early-in-career Solution Architect to join the growing NVIDIA Data Center Infrastructure team. NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. We're in search of creative minds like you to help customers craft and implement accelerated computing data center solutions that will power workflows including Omniverse for digital simulation and inference for AI use cases.
Responsibilities
- Help customers with their AI data center journey, including workflow pipelines and performance optimization.
- Focus data center implementations for inference use cases, while still supporting training as a use case.
- Scope digital twin journeys on Omniverse, including data aggregation, application development, synthetic data generation, and simulation pipelines.
- Lead technical sales activities for data centers with a focus on hybrid deployments between cloud and on-prem.
- Deliver hybrid cloud architectures for data pipelines, storage, security, and user streaming connectivity.
- Provide expertise in infrastructure workflows, including hardware, workload orchestration, and application tuning.
- Understand different solutions trade-offs and propose enterprise customers the best architecture and technical execution.
- Work directly with key customers to understand workflows and share feedback with internal product and engineering teams.
Requirements
- An outstanding passion for groundbreaking IT infrastructures that optimize AI workloads.
- Expertise with infrastructure management including Linux, Kubernetes, Ethernet networking, cloud-native tooling.
- Ability to seamlessly shift between Linux system environments to Python programming.
- Understanding how software and hardware work together to optimize applications.
- 2+ years of meaningful work experience, ideally in an IT infrastructure or related field of expertise.
- Bachelor's degree or equivalent experience in Engineering or Computer Science.
- Ability to work independently with a remote team with minimal direction.
- Outstanding communication skills, strong interpersonal skills, and an excellent teammate.
Benefits
You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.