NVIDIA

NVIDIA

Posted via Workday

Senior System Software Engineer, Drive AV Architect - Automotive

Posted Aug 5, 2026

Role at a glance

Salary
Not Disclosed
Location
Korea - Seoul
Work arrangement
On-site
Employment
Full-time
Experience
5+ years of proven experience in software development in automotive and embedded systems.
Education
BS/MS or higher in Computer Engineering, Computer Science, or a related field (or equivalent experience).

Spotted an issue?

We’ll check it against the original posting.

Log in to report

Role Summary

AI-generated

The Software Engineer joins a customer-interfacing organization supporting customers in adopting NVIDIA’s DRIVE OS and NDAS software stack for program requirements. The role focuses on aligning NDAS software architecture with OEM expectations and contributing to software architecture for OEM driving functions up to L2++.

What You'll Do

  • Align NDAS software architecture with OEM expectations across features
  • Support gap analysis, alignment proposals, and documentation
  • Map product definitions to NDAS software components and clarify roles, boundaries, and interfaces
  • Contribute to architecture views for driving functions and verify consistency with safety concepts
  • Build understanding of layering, data and signal flows, and end-to-end traceability related to VAL and related stacks
  • Prepare architecture diagrams, interface definitions, and review materials with system, safety, and feature teams

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Required: C and C++ programming; automotive and embedded software development; SoC architectures and on-chip components; QNX, Linux, and/or other real-time operating systems; device driver development; ADAS or automated driving; functional safety; communication and analytical problem-solving skills; willingness to travel worldwide. Familiarity with AUTOSAR and/or QNX/Linux in automotive contexts is also required.

Required

  • 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
  • Hands-on experience in device driver development
  • Great communication and analytical problem-solving skills
  • Self-motivation

Preferred

  • 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

Original job description

Content provided by the employer

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 (L2L3) 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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.