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Senior System Software Engineer, Drive AV Architect - Automotive

NVIDIA

Senior System Software Engineer, Drive AV Architect - Automotive

NVIDIA

Korea, Seoul

·

On-site

·

Full-time

·

3d ago

We are looking for a highly motivated Software Engineer to join its multi-layered, collaborative and fast-paced customer interfacing organization. In this role, you will be supporting our customers closely to adopt NVIDIA’s DRIVE OS&NDAS software stack to the program requirements. This position requires a deep understanding of DriveOS and ADAS system, a strong understanding of Drive AV system as well as excellent customer-facing and great teammate.

What you’ll be doing:

  • OEM alignment of NDAS SW architecture
    Support gap analysis, alignment proposals, and documentation so NDAS SW architecture stays consistent with OEM expectations across features. Map product definition to NDAS SW components, clarifying roles, boundaries, and interfaces for cross-functional teams.

  • SW architecture for OEM driving functions (up to L2++)
    Contribute to architecture views for driving functions and verify consistency with safety concepts. Build understanding of layering, data/signal flows, and end-to-end traceability in relation to VAL (Vehicle Abstraction Layer) and related stacks.

  • Collaboration & knowledge work
    Help prepare architecture diagrams, interface definitions, and review materials with system, safety, and feature teams.

What we need to see:

  • BS/MS or higher in Computer Engineering, Computer Science, or a related field (or equivalent experience).

  • Excellent C and C++ programming skills.

  • 5+ years of proven experience in software development in automotive and embedded systems.

  • Fundamental knowledge of SoC architectures and on-chip components.

  • Understanding of QNX, Linux, and/or other real-time operating systems, with hands-on experience in device driver development.

  • Great communication and analytical problem-solving skills and self-motivation.

  • Willingness to travel worldwide to support NVIDIA partners.

  • Introductory or stronger knowledge of ADAS / automated driving (L2–L3) and functional safety (ISO 26262).

  • Familiarity with AUTOSAR and/or QNX / Linux in automotive contexts.

Ways to stand out from the crowd:

  • Experience with QNX OS for Safety (QOS).

  • Experience with autonomous vehicle system integration.

  • Experience with Automotive SPICE and/or ISO26262 standards.

  • Extensively supported customers both onsite and offsite.

  • Self-motivated and work effectively across different functional teams.

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, hardworking and proactive, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

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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

73 data points

Junior/L3

Mid/L4

Junior/L3 · Analyst

7 reports

$170,275

total per 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