NVIDIA

Senior MLOps Engineer - DSX Enablement

292.5k - 507k PLN292 500 - 507 000 PLN/ rok./ rok.UoPUmowa o pracę (brutto)

375k - 650k PLN375 000 - 650 000 PLN/ rok./ rok.UoPUmowa o pracę (brutto)

SeniorZdalnie·GermanyFull-time·Umowa o pracę

#426390·Dodano miesiąc temu·12

Źródło: NVIDIA

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Tech Stack / Keywords

MLOpsAILLMCloudMachine LearningData ScienceLinux Kubernetes

Firma i stanowisko

NVIDIA is hiring a Senior MLOps Engineer to join their DSX Enablement team, working with strategic customers and open-source communities to enhance AI workloads and infrastructure.

Wymagania

BS, MS, or Ph.D. in Computer Science, Computer/Electrical Engineering, or related field, or equivalent experience.
8+ years of experience in technical roles such as data science, data engineering, or ML engineering targeting large-scale production systems.
Demonstrated AI/ML experience across multiple phases of the machine learning lifecycle.
Experience with Linux, batch schedulers, Kubernetes, distributed filesystems, and advanced datacenter-scale networking.
Proficient scripting and programming skills in bash, Python, and systems programming in C++, Go, or Rust.
Experienced with machine learning or deep learning frameworks for training and inference.
Strong communication and technical presentation skills.
Proven engineering discipline and execution in solo and team projects.

Nice to have:

Experience contributing to open-source communities.
Familiarity with the NVIDIA ecosystem including DGX, CUDA, NeMo, RAPIDS, Triton, NIM, and NVIDIA networking technologies like InfiniBand, NVLink, and RoCE.
Experience building ML systems in security-critical environments and distributed training/inference frameworks.
Knowledge of MLOps practices in cloud-native contexts including containerization, CI/CD pipelines, workflow automation, observability stacks, and GitOps.
Deep systems knowledge to diagnose and fix multi-layer application stack performance and correctness issues.

Obowiązki

Build and deploy custom AI solutions on NeoCloud platforms and NVIDIA Cloud Partners including distributed training, inference optimization, and MLOps pipelines.
Act as the primary technical contact for customers and partners, guiding joint engagements and solving complex production problems.
Collaborate with teams building infrastructure software and accelerated AI frameworks.
Profile and tune large-scale training and inference workloads to reduce latency, cost, and operational risk.
Develop open-source tools and reference architectures for managing ML and AI workloads and pipelines at scale.

Benefity

Competitive salaries with base salary range for Poland from 292,500 PLN to 650,000 PLN depending on level.
Generous benefits package.

NVIDIA

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