As an ML Engineer on our AI Data Center AIOps platform team, you will design and implement machine learning algorithms that run in real-time streaming pipelines to detect anomalies and provide insights across massive-scale GPU infrastructure. Your daily tasks include optimizing production ML algorithms in Go for real-time processing under strict resource constraints, developing new anomaly detection and predictive analytics models, and building end-to-end ML pipelines from data ingestion through model inference. You will also collaborate with the Data Science team on algorithm design and prototype evaluation to ensure practical implementation of research findings. Ideal candidates have a strong background in Computer Science or Statistics, experience implementing ML algorithms in production environments, and proficiency in Go, C/C++, Rust, or Scala, along with familiarity with time-series databases and Kafka-based streaming pipelines.
Design and implement ML algorithms optimized for real-time streaming pipelines.
Develop anomaly detection, health scoring, and predictive analytics on high-volume telemetry data.
Optimize existing ML algorithms to meet strict CPU and memory constraints.
Build end-to-end ML pipelines from data ingestion through model inference.
Collaborate with Data Science team to translate research into production requirements.
What we're looking for
5+ years of relevant industry experience (BS), 3+ years (MS), or 1+ year (PhD) in Computer Science, Statistics, or related field.
Strong background in statistics, probability, linear algebra, and algorithm analysis.
Proven experience implementing and optimizing ML algorithms for production use.
Expert programming skills in Go, C/C++, Rust, or Scala; Python knowledge beneficial.
Familiarity with time-series databases and streaming data architectures required.
Experience building and validating ML models bridging research to practical implementation.
Market check
Salary context
This
$152,000–$241,500
range sits above
46%
of similar postings on FindRole.
Peer median band
$155,420–$240,700
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$163,003–$241,675
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.
Python
TensorFlow
PyTorch
scikit-learn
MATLAB
C++
signal processing
wireless communication
MIMO
OFDM
SDRs
GPU acceleration
embedded machine learning
real-time systems
adaptive modulation
beamforming
cognitive radio techniques
3GPP
IEEE 802.11/15
military waveforms