Autonomous Vehicle Platform Senior System Software Engineer

NVIDIA

United States

On-site

USD 184,000 - 288,000

Full time

5 days ago
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Job summary

NVIDIA is seeking a Senior System Software Engineer to advance the DRIVE Autonomous Vehicle platform. You will lead cross-team integration, architect platform software, and ensure production readiness across Linux and QNX environments.

Ideal candidates bring 8+ years in autonomous vehicle software, strong kernel debugging skills, and a track record of building automated tests and build systems. This role involves collaboration with multiple engineering teams and customer-facing productization.

Qualifications

  • BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related field.
  • 8+ years of software development experience for autonomous vehicles.
  • Strong debugging skills from application to kernel level on embedded hardware.
  • Excellent communication and collaboration across cross-functional teams.
  • Experience with embedded systems, architecture design and cross-domain HW/SW knowledge.

Responsibilities

  • Lead software integration with a systematic approach to embedded development for NVIDIA Drive solutions.
  • Architect and develop platform software, tools, and filesystem customization across multiple OSs.
  • Work with system architects, HW/SW teams, and QA to align schedules and debug issues.
  • Productize workflows with customer teams for platform integration.
  • Collaborate to enable automated workflows for development, validation, and releases.
  • Develop build/packaging infrastructure and automated tests for autonomous vehicles.

Skills

Embedded systems
Kernel debugging
Cross-functional collaboration
Linux
QNX RTOS
Bazel build system
Python programming
CI/CD (Jenkins, Docker)

Education

BS or MS in CS/CE/EE

Tools

Bazel
Jenkins
Docker
Linux development

Job description

NVIDIA is seeking a Senior System Software Engineer to advance the DRIVE Autonomous Vehicle platform. You will lead cross-team integration, architect platform software, and ensure production readiness across Linux and QNX environments.

Ideal candidates bring 8+ years in autonomous vehicle software, strong kernel debugging skills, and a track record of building automated tests and build systems. This role involves collaboration with multiple engineering teams and customer-facing productization.

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