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System Software Engineer, Python and C/C++ - Deep Learning

NVIDIA

System Software Engineer, Python and C/C++ - Deep Learning

NVIDIA

2 Locations

·

On-site

·

Full-time

·

2w ago

Compensation

PLN 292,500 - PLN 650,000

Benefits & Perks

Equity

Healthcare

401(k)

Equity

Healthcare

401k

Required Skills

Python

C/C++

Software Development

Algorithms

Data Structures

NVIDIA is hiring system engineers for its Deep Learning Algorithms team. Academic and commercial groups around the world are using GPUs to revolutionize deep learning and data analytics, and to power data centers. Join the team building software which will be used by the entire world. Work with the scientific community to implement the latest AI solutions. Ability to work in a dynamic, fast-paced environment is required as well as strong interpersonal skills.

In this role you will be interacting with internal partners, users, and members of the open source community to analyze, define and implement highly optimized solutions. The scope of these efforts includes a combination of crafting and implementing new solutions, defining APIs, performance tuning and analysis, analyzing functionality coverage across multiple solutions, build larger, coherent AI toolset. Are you ready for this challenge?

What you’ll be doing:

  • Research, prototype, develop and optimize solutions, tools and libraries for deep learning, data analytics, machine learning, or scientific computing.

  • Analyse, influence and improve deep learning libraries and frameworks standards and APIs according to good engineering practices.

  • Collaborate with team members and other partners.

What we need to see:

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

  • 8 years of work experience in software development.

  • Excellent Python and C/C programming knowledge.

  • Experience in design and implementation of complex systems with decoupled dependencies.

  • Knowledge of design patterns and software engineering principles.

  • Strong analytical skill, knowledge about algorithms and data structures.

  • Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.

  • Good communication and documentation habits.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. If you're creative and autonomous, 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 292,500 PLN - 507,000 PLN for Level 4, and 375,000 PLN - 650,000 PLN for Level 5.

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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