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Manager, AI and Software

NVIDIA

Manager, AI and Software

NVIDIA

Israel, Yokneam

·

On-site

·

Full-time

·

4d ago

NVIDIA is looking for an outstanding experienced manager to join our leading AI team. The team is developing cutting-edge AI applications including: Retrieval-Augmented Generation (RAG) systems, Large Language Model (LLM) implementations, large scale AI Agents, MCPs, recommendation engines, classical AI models such as clustering, and more. You will have the opportunity to shape how AI transforms our products and internal processes worldwide. In this role, you will manage a team of AI/ ML engineers, lead the innovation and development the different solutions, and collaborate with cross-company teams. We are looking for an experienced, hard working manager who can collaborate effectively and has a deep technical capabilities in both AI/ML and software development.

What you'll be doing:

  • Manage a team of 6-8 engineers

  • Formalize the team work methodologies, collaboration, etc.

  • Provide technical leadership, mentorship, and guidance to foster team growth.

  • Supervise and build AI best in class solutions, including data ingestion, RAG, MCPs, Agents, self service, and more.

  • Be a part of an experienced team with a great atmosphere.

  • Collaborate with cross-functional teams to identify and implement AI opportunities

What we need to see:

  • B.Sc. (or equivalent experience) in Computer Science, AI, Machine Learning or related field

  • 4+ years of experience in a managerial role.

  • 3+ years of experience implementing production AI/ML systems

  • 8+ overall years of experience in software development

  • Strong understanding of modern Machine Learning domains, known algorithms, architectures and techniques

  • Proficiency in Python

  • Capable of multi-tasking, ability to drive both people and tasks.

  • Effective communication and collaboration skills

  • Demonstrated leadership with the ability to inspire and motivate team members.

Ways to stand out from the crowd:

  • Track record of delivering high-quality work on time and meeting project timeline.

  • Experience developing large scale software, Understanding of SOLID principles and design patterns

  • Knowledge of LLM techniques

  • Background implementing RAG systems in production environments

  • Experience with vector databases and embedding technologies

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About NVIDIA

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

Employees

Santa Clara

Headquarters

$4.57T

Valuation

Reviews

4.1

10 reviews

Work Life Balance

3.5

Compensation

4.2

Culture

4.3

Career

4.5

Management

4.0

75%

Recommend to a Friend

Pros

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

Cons

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

Salary Ranges

47 data points

Junior/L3

Mid/L4

Junior/L3 · Analyst

7 reports

$170,275

total / year

Base

$130,981

Stock

-

Bonus

-

$155,480

$234,166

Interview Experience

7 interviews

Difficulty

3.1

/ 5

Experience

Positive 0%

Neutral 86%

Negative 14%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

Common Questions

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR