Senior Manager, Artificial Intelligence - Machine Learning Platform

Nvidia

Remote Actively hiring Posted this week Verified listing
Santa Clara, CA · Redmond, WA Posted 4 days ago $272,000–$431,250 / year
Apply Now Log in to save
99+ other roles within 25 mi Near Santa Clara, CA

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $217k
This role $352k
$150k most similar roles pay here $461k

This role pays more than 98% of similar roles. Most pay $187,808–$246,150 — the shaded band above. At the midpoint, this role pays about $352k versus about $217k for comparable roles.

Based on 240 similar postings.

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 855 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 843 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR

Join our dynamic team as a senior engineering leader responsible for the strategic direction and continuous improvement of our AI/ML platform, supporting large-scale model training and deployment. You will optimize efficiency across all stages of the ML workflow, from data ingestion to monitoring, while leading and mentoring a skilled engineering team to foster innovation and collaboration. This role involves close partnership with internal teams like data scientists and IT to ensure the platform meets evolving needs and delivers high value through cutting-edge technologies. Ideal candidates have over 12 years of experience in AI/ML infrastructure, including managing large-scale projects, and possess strong leadership skills, deep technical knowledge, and a proven track record of driving efficiency and innovation within complex environments.

Skills

Python TensorFlow PyTorch Kubernetes Docker AWS Azure Google Cloud Platform CI/CD Git Jupyter Notebook PostgreSQL MongoDB Hadoop Spark NVIDIA GPUs CUDA Prometheus Grafana Ansible

What you'll do

  • Lead strategic direction and continuous improvement of AI/ML platform to support large-scale model training.
  • Optimize efficiency and resilience across all stages of ML workflow from data ingestion to deployment.
  • Mentor a team of engineers to foster a collaborative and high-performance culture.
  • Work with internal teams to ensure the AI/ML platform meets diverse user needs.
  • Drive innovation by exploring new technologies and methodologies for the AI/ML ecosystem.
  • Maintain strong customer focus to deliver high-value solutions that evolve with user needs.

What we're looking for

  • Over 12 years of experience in AI/ML infrastructure and large-scale project management.
  • At least 6 years of leadership in technical teams with strong collaboration skills.
  • Deep expertise in AI/ML lifecycle, high-performance computing, hardware, storage, and networking.
  • Proven ability to develop strategic visions for AI/ML platforms aligned with organizational needs.
  • Excellent communication and problem-solving skills for diverse stakeholder engagement.
  • Experience in developing and leading AI/ML platforms in research or academic settings.

More like this

Similar roles

Senior Manager, Machine Learning -

Upstart

Remote (Canada) today $238,400–$330,200
Python TensorFlow PyTorch Scikit-learn Keras Pandas NumPy SQL AWS Google Cloud Platform CI/CD MLOps Docker Kubernetes Git Jupyter Notebook GitHub PostgreSQL MongoDB Spark Hadoop Prometheus Grafana
Remote
Save

Senior Manager, Machine Learning Engineering

Capital One Financial

McLean, VA 6 days ago $229,900–$262,400
Python PyTorch scikit-learn TensorFlow Spark Dask CI/CD AWS Kubernetes PostgreSQL MongoDB Git Jupyter Notebook Docker Kafka Redis Prometheus Grafana
Save

Senior Manager, Data Scientist - Applied AI

Capital One Financial

McLean, VA 85 days ago $229,900–$262,400
Pytorch AWS Hugging Face LangChain VectorDBs NLP LLMs Transformer CI/CD Python PostgreSQL Kubernetes Docker Prometheus Grafana RFHF Self-supervised learning Training optimization Model explainability
Save