Senior MLOps Engineer - DSX Enablement

NVIDIA
Germany, United Kingdom, Spain, Czech Republic, Poland
Workplace: RemoteFull timePLN 292,500 - 650,000Function: Solutions Engineering & Sales EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Communication","Technical presentation","Engineering discipline","Execution","Collaboration"]

Develop and deploy MLOps and AI infrastructure solutions for distributed training and optimized inference across NVIDIA NeoCloud and NVIDIA Cloud Partners. Serve as a primary technical contact for customers and partners, guiding engagements and resolving production issues on DGX Cloud. Work with infrastructure software and accelerated frameworks teams, tune large-scale workloads to reduce latency and cost, and build open-source tools and reference architectures for scalable ML systems.

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FursaFursa
NVIDIA
NVIDIA
3 days ago

Senior MLOps Engineer - DSX Enablement

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Develop and deploy MLOps and AI infrastructure solutions for distributed training and optimized inference across NVIDIA NeoCloud and NVIDIA Cloud Partners. Serve as a primary technical contact for customers and partners, guiding engagements and resolving production issues on DGX Cloud. Work with infrastructure software and accelerated frameworks teams, tune large-scale workloads to reduce latency and cost, and build open-source tools and reference architectures for scalable ML systems.
Location: Germany, United Kingdom, Spain, Czech Republic, Poland
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Build and deploy custom AI solutions on NeoCloud and NVIDIA Cloud Partners, including distributed training, inference optimization, and MLOps pipelines.
  • •Act as a primary technical contact for internal/external customers and partners, ensuring initiative success on DGX Cloud and solving complex production problems.
  • •Collaborate with teams building infrastructure software and accelerated frameworks for 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 for building and managing ML/AI workloads, pipelines, and systems at scale.

Pay and Benefits

Salary: PLN 292,500 - 650,000

Key Requirements

  • •BS, MS, or Ph.D. in Computer Science, Computer/Electrical Engineering, or related field, or equivalent experience.
  • •8+ years in technical roles such as data science, data engineering, or ML engineering, focused on large-scale production systems.
  • •Demonstrated 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.
  • •Solid scripting and programming skills (bash, Python) and systems programming in C++, Go, or Rust, plus ML/deep learning framework experience for training and inference.
Experience:8+ yearsLarge-scale production systemsOpen sourceMLOpsCloud-native
Education:Bachelor's
Skills:CommunicationTechnical presentationEngineering disciplineExecutionCollaboration
Tech Stack:NeoCloudNVIDIA Cloud Partners (NCPs)DGX CloudLinuxBashPythonC++GoRustKubernetesDistributed filesystemsCUDANeMoRAPIDSTritonNIMInfiniBandNVLinkRoCECI/CD

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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