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Senior MLOps Engineer - DSX Enablement

NVIDIA· Engineer, Sys SW
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Hybrid (Remote / Local)$184k - $356.5kFull-timePosted 2mo ago

About the role

Senior MLOps Engineer to join the DSX Enablement team, collaborating with customers to implement and enhance AI workloads, develop solutions on NeoCloud and NVIDIA Cloud Partners, and advance ML infrastructure and open-source tooling.

Responsibilities

  • Build and deploy custom AI solutions on NeoCloud platforms and NVIDIA Cloud Partners (NCPs), including distributed training, inference optimization, and MLOps pipelines
  • Act as a primary technical contact for internal and external customers and partners, guiding joint engagements, ensuring the success of initiatives on DGX Cloud, and solving complex problems in production
  • Work closely with teams building infrastructure software and accelerated frameworks for AI applications
  • Profile and tune large-scale training and inference workloads on NCP platforms, leading efforts to reduce latency, cost, and operational risk
  • Develop open-source tools and reference architectures to simplify building and managing ML/AI workloads, pipelines, and systems at scale

Qualifications

  • BS, MS, or Ph.D. in Computer Science, Computer/Electrical Engineering, or related field, or equivalent experience
  • 8+ years of experience in data science, data engineering, or ML engineering, preferably with large-scale production systems
  • Demonstrated AI/ML experience across multiple phases of the lifecycle, from exploratory analysis to production
  • Proficiency with Linux, batch schedulers, Kubernetes, distributed filesystems, and datacenter-scale networking
  • Scripting and programming in bash and Python; systems programming in C++, Go, or Rust
  • Experience using ML/DL frameworks for training and inference
  • Excellent communication and technical presentation skills for engineering and leadership audiences
  • Proven track record of engineering discipline and execution on meaningful projects

Skills

Required:LinuxKubernetesDistributed systemsPythonC++, Go or Rust

Benefits

  • Equity
  • Benefits package (see NVIDIA benefits)
Last updated Aug 21, 2026. Interested? Apply on the company site.

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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