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Software Architect, Advanced Development

NVIDIA

Software Architect, Advanced Development

NVIDIA

Israel, Yokneam

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

401(k) matching

Parental leave

Flexible work arrangements

Professional development budget

Generous paid time off and holidays

Comprehensive health, dental, and vision insurance

Parental Leave

Flexible Hours

Learning

Healthcare

Required Skills

Python

JavaScript

PostgreSQL

About the Role

NVIDIA is searching for Software Architect of Advanced Development to join our growing software architecture Research team. Opportunity for Scientist Graduates. The ideal candidate will be conducting cutting-edge research at the intersection of Networking, Security, and Communications, and working alongside top experts in these fields. With incredible resources in networking, you will be able to impact, contribute and advance these domains for scalable accelerated computing.

Topics include but are not limited to remote direct memory access, hardware offloading and hardware acceleration, distributed accelerator networks, AI for networking and security, storage management, cryptography accelerators and architecture.

With its unique open culture, NVIDIA is one of the best industry labs to do Accelerated Computing research.

Responsibilities

  • Technically lead the features owns working with customers and R&D on architecture and design of the features
  • Clearly define the requirements
  • Research the hardware, firmware, and software existing support and define the solution to match the requirements he defined
  • Conduct simulations ranging from specific components to complete data center environments
  • Develop SDKs for novel HW capabilities
  • Design and implement services, runtime systems, and applications over SDK
  • Evaluate and optimize application performance
  • Partner and collaborate with other forward-thinking team members and external researchers
  • Work with intelligent networking machines powered by AI systems that can learn, reason and interact with other network components

Qualifications

  • Graduate of BSc/MSc in Electrical Engineering, Computer Science/Engineering, Math/Physics/Statistics or a related field
  • 0-2 years of relevant experience
  • Knowledge in networking, operating systems, accelerator programming, and systems
  • Track record of research excellence
  • Good communications skills

Ways to Stand Out

  • Experience in networking and operation system
  • Knowledge or experience with LLM

About NVIDIA

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. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you.

Come, join our Software Architecture Team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.

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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