MarketStar

Presales Workstation Technologist – HPI, NVIDIA

MarketStar

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $120,000 - $130,000 per year

About the role

  • Serve as the primary technical authority for the entire NVIDIA Edge product line.
  • Provide architecture guidance around AI inference, simulation, visualization, digital twins, and advanced workstation workflows.
  • Design end-to-end edge computing architectures integrating GPU-accelerated compute, storage, networking, and edge-to-cloud orchestration.
  • Evaluate workload requirements across AI, ML, HPC, visualization, robotics, automation, and industrial edge.
  • Conduct performance modeling and benchmarking.
  • Engage with enterprise customers to assess use cases, define requirements, and architect NVIDIA-based solutions.
  • Deliver technical workshops, whiteboard sessions, and demos.
  • Support deployment, tuning, and optimization of NVIDIA Edge platforms.
  • Create documentation, reference architectures, and playbooks.
  • Partner with cross‑functional teams to align product strategy and share field insights.
  • Other applicable duties as assigned.

Requirements

  • 5 + years in advanced computing, GPU systems, workstation architecture, or edge AI platforms.
  • Bachelor’s degree or equivalent in engineering, Computer Science, or Data Science
  • Strong understanding of NVIDIA GPU architecture (RTX, Ada, Ampere, Hopper).
  • Proficiency with CUDA, TensorRT, ONNX Runtime, and AI frameworks.
  • Strong Linux/Windows workstation performance tuning skills.
  • Experience with containerization (Docker, Kubernetes, GPU Operator).
  • Experience with AI/ML workload optimization or industrial edge deployments.
  • Excellent communication skills across technical and executive audiences.
  • Experience with NVIDIA Jetson, Omniverse, AI Enterprise, or NIM microservices.
  • Background in HPC, robotics, industrial automation, or digital twin workloads.
  • Certifications such as NVIDIA DLI, AWS/GCP/Azure AI, or equivalent.
Benefits
  • Structured learning and career development programs
  • Mental health program
  • Generous Paid Time Off policy
  • Paid medical leave
  • Child/Dependent care reimbursement
  • Education reimbursement
  • 401k match, hardship loan program, access to financial wellness advisor
  • Comprehensive healthcare coverage including medical, dental, and vision
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI inferencesimulationvisualizationdigital twinsGPU-accelerated computeCUDATensorRTONNX Runtimeperformance tuningcontainerization
Soft Skills
communicationcollaborationtechnical workshopscustomer engagementdocumentation creationproblem-solvingcross-functional teamworkpresentation skillsrequirements definitionperformance modeling
Certifications
NVIDIA DLIAWS AIGCP AIAzure AI