
Senior Solutions Architect, AI Factory Infrastructure Software Deployment
NVIDIA
full-time
Posted on:
Location Type: Remote
Location: California • United States
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Salary
💰 $152,000 - $287,500 per year
Job Level
About the role
- Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud, built with the latest NVIDIA GPU supercomputers for new and existing customers
- Be a technical specialist on GPU and networking products, directly supporting sales account managers to secure build wins
- Actively establish and nurture technical relationships with engineers, management, and architects at key customer accounts
- Identify customer architectures and key product requirements in the CSP/OEM AI market to successfully implement NVIDIA's solutions
- Provide on-site support to solve hardware and software problems, with a focus on deep learning inference
- Lead the product through its entire lifecycle, from the design-in phase to end-of-life, ensuring flawless execution and customer happiness
- Actively maintain the NVIDIA side of infrastructure components and capture findings at the customer site
- Offer technical and sales training to direct sales teams and channel partners
Requirements
- BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience)
- 5+ years of work-related experience in high-tech IT companies with experience in AWS, Azure, GCP, and Virtualization Technologies (VMware, Linux KVM)
- Understanding of AI workloads and multi-library integration
- Capable of excelling in a dynamic, constantly evolving environment
- Remarkable talent for effectively managing multiple initiatives and priorities
- Strong time-management and interpersonal skills for coordinating complex projects
- Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams
Benefits
- equity
- comprehensive benefits package
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI infrastructuredeep learning inferencemulti-library integrationNVIDIA GPUcloud computinghardware troubleshootingsoftware troubleshootingproduct lifecycle managementtechnical training
Soft skills
time managementinterpersonal skillsproject coordinationcommunication skillsrelationship buildinginitiative managementadaptability