Senior Solutions Architect, Industrial Robotics

NVIDIA
Santa Clara
Workplace: RemoteFull timeUSD 184,000 - 356,500 annuallyFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Collaboration","Time management","Organization","Analytical problem-solving"]

Engage with customers, partners, and NVIDIA engineers to deliver high-value solutions for industrial robotics applications using NVIDIA GPUs and networking. Partner with industry and account teams to understand technical needs, develop solutions, and lead integrations for AI, HPC, and edge use cases. Produce technical materials like samples and whitepapers, collaborate across organizations, and apply deep learning and robotics expertise to solve complex customer problems.

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FursaFursa
NVIDIA
NVIDIA
22 hours ago

Senior Solutions Architect, Industrial Robotics

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Engage with customers, partners, and NVIDIA engineers to deliver high-value solutions for industrial robotics applications using NVIDIA GPUs and networking. Partner with industry and account teams to understand technical needs, develop solutions, and lead integrations for AI, HPC, and edge use cases. Produce technical materials like samples and whitepapers, collaborate across organizations, and apply deep learning and robotics expertise to solve complex customer problems.
Location: Santa Clara
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Partner with industry and account teams to understand customer goals and technical needs and define high-value solutions.
  • •Document technical knowledge and teach others through samples, whitepapers, blogs, and wiki articles.
  • •Lead vision for integrating NVIDIA technology into manufacturing use cases using AI, HPC, and enterprise GPU/networking architectures for datacenter and edge.
  • •Strategically partner with lighthouse customers and industry-specific solution partners targeting NVIDIA’s computing platform.
  • •Coordinate and execute multiple initiatives, priorities, and technology/product implementations across complex projects while collaborating with internal teams and customers.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually
Equity and Bonus:Equity

Key Requirements

  • •BS, MS, or PhD in Robotics, Engineering, Computer Science, or equivalent experience.
  • •8+ years of work-related experience in robotics, humanoids, and AI domains, including parallel computing with GPUs.
  • •Background with modern application deployment practices including Docker/Containers and Kubernetes.
  • •Experience with modern deep learning software architecture and frameworks.
  • •Strong written and oral communication skills and experience supporting customers/partners in technical engagements.
Experience:RoboticsHumanoidsAIMachine learningHigh-performance computingGPUDeep learning
Education:
Skills:CommunicationCollaborationTime managementOrganizationAnalytical problem-solving
Tech Stack:GPUNetworkingDockerKubernetesTensorflowPyTorchTRTIsaac SimIsaac LabNsight systemsParallel computingDeep learning

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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