Manager, Development Operations - RAPIDS Data Science

California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Software Development, Data Science, Artificial Intelligence, AI & Machine LearningIndustries

Requirements

Candidates must possess a Bachelor of Science in Computer Engineering, Computer Science, or a related technical field, or equivalent experience. A minimum of 8 years of technical experience, primarily in DevOps, with at least 3 years in a team or technical leadership role is required. Excellent communication and interpersonal skills, attention to detail, and experience with CI/CD tools like Jenkins, Git, and GitHub Actions are essential. Linux system administration experience, particularly with Ubuntu, and proficiency in scripting languages such as Bash and Python are also necessary.

Responsibilities

The Manager, Development Operations will lead a team of DevOps engineers supporting data science and AI software projects, including the open-source RAPIDS platform. Responsibilities include collaborating with build engineers and developers to ensure high-quality software releases, taking a hands-on approach to support the team, and leading DevOps initiatives such as CI/CD, security compliance, and system administration. The role also involves operating and managing infrastructure and development processes.

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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