Senior Machine Learning Engineer

NVIDIA
Santa Clara, New York, Seattle
Full timeUSD 184,000 - 287,500 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: mastersSkills: ["Communication","Technical presentation"]

Build the ML “brain” for DGX Cloud, turning billions of telemetry signals into predictive insights that keep NVIDIA’s AI infrastructure healthy and efficient. Develop and deploy production ML models for anomaly detection, predictive maintenance, and usage optimization, plus forecasting and simulation for large-scale planning. Create tooling for real-time telemetry and long-term trends, collaborate across engineering, operations, and product teams, and integrate ML capabilities into NVIDIA offerings.

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FursaFursa
NVIDIA
NVIDIA
4 days ago

Senior Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Build the ML “brain” for DGX Cloud, turning billions of telemetry signals into predictive insights that keep NVIDIA’s AI infrastructure healthy and efficient. Develop and deploy production ML models for anomaly detection, predictive maintenance, and usage optimization, plus forecasting and simulation for large-scale planning. Create tooling for real-time telemetry and long-term trends, collaborate across engineering, operations, and product teams, and integrate ML capabilities into NVIDIA offerings.
Location: Santa Clara, New York, Seattle
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop innovative machine learning algorithms and models that advance NVIDIA AI products.
  • •Build production models for anomaly detection, predictive maintenance, and usage optimization.
  • •Create tools to surface real-time telemetry, efficiency metrics, and long-term trends.
  • •Develop forecasting and simulation models for global-scale planning.
  • •Analyze complex datasets, translate findings into engineering actions, and collaborate cross-functionally to integrate ML into NVIDIA products.

Pay and Benefits

Salary: USD 184,000 - 287,500 annually
Perks:Equity

Key Requirements

  • •Master’s degree or PhD in Mathematics, Statistics, Machine Learning, or a related quantitative field (or equivalent experience).
  • •8+ years applying machine learning to operational systems.
  • •Proven track record building and deploying machine learning models in production environments.
  • •Experience with time series analysis and optimization algorithms.
  • •Familiarity with distributed systems and cloud platforms such as AWS and Kubernetes; strong software engineering skills in Python.
Experience:8+ yearsMachine learningOperational systems
Education:Master's
Skills:CommunicationTechnical presentation
Tech Stack:PythonAWSKubernetesTensorFlowPyTorchPrometheusPromQLDGX CloudNVLinkGPUs

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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