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Deep Learning Performance Software Engineer

NVIDIA

Deep Learning Performance Software Engineer

NVIDIA

China, Shanghai

·

On-site

·

Full-time

·

2w ago

Required Skills

C

C++

XLA

TVM

MLIR

LLVM

We are now looking for a Deep Learning Performance Software Engineer!

We are expanding our research and development for deep learning. We seek excellent Software Engineers and Senior Software Engineers to join our team. We specialize in developing GPU-accelerated Deep learning software. Researchers around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in numerous areas. Join the team that builds software to enable new solutions. Your ability to work in a fast-paced customer-oriented team is required and excellent communication skills are necessary.

What you’ll be doing:

  • Develop compilers and DSLs for deep learning workloads

  • Design and implement highly optimized deep learning kernels

  • Continuously improve the compiler architecture for current and next generation chips

  • Perform performance analysis on emerging AI workloads and integrate with AI frameworks

What we need to see:

  • Master's or Ph.D degree (or equivalent experience)  in relevant discipline (CE, CS&E, CS, AI)

  • Excellent C/C programming and software design skills

  • Experience with XLA, TVM, MLIR, LLVM, deep learning models and algorithms

  • 3 years of relevant work experience

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!

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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

L3

L4

L5

L3 · Data Scientist IC2

0 reports

$177,542

total / year

Base

-

Stock

-

Bonus

-

$150,910

$204,174

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