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Manager, Developer Technology Enterprise AI

NVIDIA

Manager, Developer Technology Enterprise AI

NVIDIA

Germany, Wuerselen

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Equity

Healthcare

401(k)

Equity

Healthcare

401k

Required Skills

Software Development

Leadership

Communication

Problem Solving

Strategic Thinking

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a strong Senior Manager to lead and further grow a team of outstanding developer technology engineers for edge and local PC AI!

What you'll be doing:

  • Build and lead a highly skilled and motivated developer technology team focused on giving technical guidance to external developers deploying multi-modal large language models, generative AI and other AI architectures on the edge or local PC.

  • Work closely with internal engineering, product management and adjacent cross-functional teams on crafting and driving our Enterprise AI strategy.

  • Establish sophisticated processes supporting a balanced resource planning to meet schedules and goals.

  • Work from first principles, build trust, and support your team members grow their professional careers within the scope of our core values.

What we need to see:

  • Proven track record with a minimum of 8 overall years of experience in software development, including at least 3 years in a leadership role.

  • A Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.

  • Distinct strategic and tactical way of thinking.

  • Excellent communication and interpersonal skills.

  • Outstanding problem solving abilities and distinct skills to quickly acquire expertise in areas new to you.

  • Open minded with a good sense of intellectual honesty.

  • Strong software engineering background, preferable in the area of visual computing.

Ways to stand out from the crowd:

  • Validated background and understanding of workflows within the M&E or AEC industries.

  • Experience engaging with enterprise partners or open-source project maintainers.

NVIDIA is 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. If you're creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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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