NVIDIA logo
NVIDIA

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.

Software Solutions Architect

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 10,001+Since 1993H1B SponsorCompany SiteLinkedIn

Location

California + 1 moreAll locations: California | Texas

Posted

47 days ago

Salary

$152K - $241.5K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishCloudDockerKubernetesLinuxUnix

Job Description

Software Solutions Architect

NVIDIA

• Helping our customers deploy cloud-native software stacks, such as NVIDIA AI, to embed guidelines in machine learning operations • Collaborating closely with infrastructure admins, data scientists, and ML engineers to deploy tools like NVIDIA Run:ai and NVIDIA Mission Control • Integrating NVIDIA software into customers’ existing ML ops environments and developing scripts to streamline these processes • Diagnosing and resolving customer issues within sophisticated cloud-native environments, applying profiling and analysis tools to improve deep learning model performance • Working with internal collaborators, including Pre-Sales Solution Engineers, Account Managers, and Product teams, to understand business requirements and provide technical insights • Developing new tools and scripts to facilitate seamless integration with other Data Science tools

Job Requirements

  • A minimum of 5 years of experience in a customer-facing role
  • A B.Sc in Computer Science or equivalent experience
  • Proven experience presenting to technical audiences and crafting technical content for developers
  • Proficiency in Linux/Unix Operating Systems
  • Hands-on experience with Kubernetes and containerization technologies like Docker
  • Demonstrated experience in software development
  • Certification as a Kubernetes Administrator (CKA)
  • Experience with AI and ML tools

Benefits

  • Comprehensive benefits package
  • Equity offered

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