NVIDIA

Manager, Development Operations - RAPIDS Data Science

California, United States

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Software Development, Data Science, Artificial Intelligence, AI & Machine LearningIndustries

Job Title: Manager, Data Science Engineering Operations

Position Overview

NVIDIA is seeking a hardworking Manager to lead its Data Science Engineering Operations team. This team supports multiple engineering teams working on data science and adjacent libraries, including the open-source RAPIDS suite. RAPIDS leverages NVIDIA GPUs to accelerate data science and machine learning workflows, offering significant speedups for tasks like data manipulation, machine learning, and graph analytics. The team also supports NeMo Retriever for AI retrieval pipelines and NeMo curator for processing text, image, and video data. Responsibilities include supporting CI/CD systems, infrastructure deployment and maintenance, build systems, and security compliance, working closely with build engineers, developers, and leadership to ensure the delivery of high-quality software used by data scientists and AI developers globally.

Responsibilities

  • Lead a team of DevOps engineers supporting multiple software projects in the data science and AI domain, many of which are open-source.
  • Collaborate with build engineers, developers, and management to ensure the delivery of high-quality software.
  • Take a hands-on approach, working with engineers on the team to lead by example.
  • Help lead a range of DevOps initiatives, including CI/CD, security/legal compliance, and SysAdmin tasks.
  • Assist in operating and running infrastructure and development processes.
  • Support and grow the RAPIDS project by working closely with RAPIDS build and development teams to ensure high-quality releases of CUDA/C++ and Python libraries, as well as containers.

Requirements

  • Bachelor of Science in Computer Engineering, Computer Science, or a related technical field, or equivalent experience.
  • 8+ years of overall technical experience, primarily related to DevOps.
  • 3+ years of experience in a team or technical leadership role.
  • Excellent communication and interpersonal skills.
  • Detail-oriented with the ability to support and prioritize among multiple teams.
  • Experience with administration, optimization, and troubleshooting of CI/CD and related tools (including Jenkins, Git, GitHub Actions).
  • Linux system administration experience (Ubuntu strongly preferred).
  • Knowledge of programming and automation with scripting languages (Bash and Python preferred).

Ways to Stand Out

  • Experience with cloud services (AWS, Azure, and others), particularly in permissions, budget, and cost management.
  • Experience with NVIDIA’s technology stack, including CUDA toolkit and drivers.
  • Background with Conda and/or PyPI packaging.
  • Experience with container technologies such as Docker, especially building and publishing.
  • Experience with GitHub operations, including user, repository, and organization management and permissions.
  • Experience with open-source development and community building on GitHub.

Company Information

NVIDIA is recognized as one of the technology world's most desirable employers, attracting forward-thinking and hardworking individuals. If you are creative and autonomous, NVIDIA encourages you to apply. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer.

Salary & Benefits

  • Salary Range: $208,000 - $396,750 USD (base salary determined by location, experience, and pay of similar positions).
  • Additional Compensation: Eligible for equity and benefits.

Application Instructions

NVIDIA accepts applications on an ongoing basis.

Skills

DevOps
CI/CD
Infrastructure Deployment
Build Systems
Security Compliance
CUDA
C++
Python
Data Science
Machine Learning
GPU Acceleration
Open-Source Software
Leadership
Team Management

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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