Senior MLOps Engineer - DSX Enablement

NVIDIA
Santa Clara, Seattle, United States
Workplace: HybridFull timeUSD 184,000 - 356,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Communication","Technical presentation","Engineering discipline","Execution","Collaboration"]

Develop and deploy custom AI/MLOps solutions on NVIDIA NeoCloud and NVIDIA Cloud Partners, including distributed training, inference optimization, and MLOps pipelines. Serve as a primary technical contact for internal and external customers, guiding production engagements on DGX Cloud. Tune large-scale training and inference workloads to reduce latency, cost, and operational risk, while building open-source tools and reference architectures for scalable ML systems.

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NVIDIA
NVIDIA
2 days ago

Senior MLOps Engineer - DSX Enablement

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Last checked: 10 hours agoStatus: Live

Job Summary

Develop and deploy custom AI/MLOps solutions on NVIDIA NeoCloud and NVIDIA Cloud Partners, including distributed training, inference optimization, and MLOps pipelines. Serve as a primary technical contact for internal and external customers, guiding production engagements on DGX Cloud. Tune large-scale training and inference workloads to reduce latency, cost, and operational risk, while building open-source tools and reference architectures for scalable ML systems.
Location: Santa Clara, Seattle, United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Build and deploy custom AI solutions on NeoCloud and NCPs, including distributed training, inference optimization, and MLOps pipelines.
  • •Act as a primary technical contact for customers and partners, guiding engagements and solving complex production problems on DGX Cloud.
  • •Work with infrastructure software and accelerated frameworks teams to support leading AI applications.
  • •Profile and tune large-scale training and inference workloads on NCP platforms to reduce latency, cost, and operational risk.
  • •Develop open-source tools and reference architectures to help teams build and manage ML/AI workloads, pipelines, and systems at scale.

Pay and Benefits

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

Key Requirements

  • •BS, MS, or Ph.D. in Computer Science, Computer/Electrical Engineering, or a related technical field, or equivalent experience.
  • •8+ years of experience in technical roles such as data science, data engineering, or ML engineering for large-scale production systems.
  • •AI/ML experience across the machine learning lifecycle from exploratory analysis to production systems.
  • •Experience with Linux, batch schedulers, Kubernetes, distributed filesystems, and advanced datacenter networking.
  • •Strong scripting/programming skills (bash, Python) and systems programming (C++, Go, or Rust), plus ML/deep learning frameworks for training and inference.
Experience:8+ yearsOpen sourceData scienceData engineeringML engineering
Education:Bachelor's
Skills:CommunicationTechnical presentationEngineering disciplineExecutionCollaboration
Tech Stack:NeoCloudNVIDIA Cloud Partners (NCPs)DGX CloudLinuxKubernetesDistributed filesystemsAdvanced networkingBashPythonC++GoRustContainerizationCI/CDGitOpsObservabilityDGX systemsCUDANeMoRAPIDS

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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