Realtime ML Systems Engineer, Networking & AIOps

NVIDIA Corporation; Santa Clara, Northern (CA, KY); Hybrid; USD 152,000 - 288,000; Full time

Job summary

NVIDIA Corporation is seeking a Machine Learning Systems Engineer, Networking to design and implement ML algorithms for real-time telemetry pipelines across GPU fleets. You will build end-to-end ML pipelines and optimize performance within strict CPU/memory budgets, enabling proactive AI training and inference across massive-scale infrastructure.

The role emphasizes production-grade coding, with strong skills in Go, C/C++, Rust, or Scala, and familiarity with time-series databases and streaming

Qualifications

• BS (or equivalent) plus 5+ years experience, MS 3+ years, or PhD with 1+ year in CS/Stats.
• Strong mathematical foundation: statistics, probability, linear algebra, and algorithm analysis.
• Proven experience implementing and optimizing ML algorithms in production — coding-first role; strong implementation skills required.
• Strong programming skills in Go, C/C++, Rust, or Scala; Python working knowledge is a plus.
• Familiarity with time-series databases and streaming data architectures
• Ability to work independently and navigate ambiguity in a fast-paced engineering environment

Responsibilities

• Implement production ML algorithms in Go — optimized for real-time streaming pipelines operating at massive scale under strict resource constraints
• Design and develop new ML algorithms where needed: anomaly detection, health scoring, and predictive analytics on high-volume time-series telemetry from GPU and network infrastructure
• Improve and extend existing algorithms and experiment with new approaches suited to real-time streaming constraints
• Build and maintain end-to-end ML pipelines — from data ingestion and schema design through model inference — optimized for on-premises, latency-sensitive deployments
• Partner with the Data Science team on algorithm design, prototype evaluation, and translating research findings into platform requirements
• Collaborate with teams to integrate ML into GPU networking infrastructure for AI workloads

Skills

Go

C/C++

Rust

Python

Education

BS in Computer Science or related field

Tools

Kafka

Job description

NVIDIA Corporation is seeking a Machine Learning Systems Engineer, Networking to design and implement ML algorithms for real-time telemetry pipelines across GPU fleets. You will build end-to-end ML pipelines and optimize performance within strict CPU/memory budgets, enabling proactive AI training and inference across massive-scale infrastructure.

The role emphasizes production-grade coding, with strong skills in Go, C/C++, Rust, or Scala, and familiarity with time-series databases and streaming