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NVIDIA

System Software Integration Engineer – Autonomous Vehicles

NVIDIA

Systems/Software Integration Engineer optimizing automotive applications for NVIDIA's cutting-edge technologies while collaborating globally with engineering teams.

Posted 7/20/2026full-timeMunich • 🇩🇪 GermanyJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in embedded systems, C/C++, and automation pipelines, with a strong focus on ADAS software integration and problem-solving in safety-critical environments. Proven ability to collaborate globally and provide technical support in automotive applications.

Highest-signal resume keywords
ADAS Software EngineeringEmbedded Systems ProficiencyC/C++ ProgrammingAutomation Pipeline DevelopmentLinux and QNX Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Embedded SystemsC/C++PythonBashDebuggingReal-Time Operating SystemsADAS Sensor SetsSoftware Integration PrinciplesCI/CDVersion Control
Soft Skills
Problem-SolvingAnalytical SkillsCollaboration
Tools & Technologies
DockerCANFlexrayEthernet
Industry Keywords
Automotive ApplicationsSafety-Critical SystemsAutonomous Vehicle Stack IntegrationVehicle ArchitectureCommunication Protocols

Tech Stack

Tools & technologies
LinuxPython

About the role

Key responsibilities & impact
  • Seamlessly integrate and optimize system software components for automotive applications.
  • Craft and maintain automation pipelines to streamline processes.
  • Dive deep into analysis, diagnosing root causes, and refining the product experience.
  • Collaborate globally with our engineering teams in the US, APAC, and Europe to deliver cutting-edge solutions to customers.
  • Own the integration path for safety-critical systems as we move from prototype fleets to global mass production.

Requirements

What you’ll need
  • Bachelor's or Master’s degree in an engineering field with minimum 2-3 years of experience as an ADAS software engineer at a Tier 1, OEM, or equivalent.
  • Exceptional problem-solving and analytical skills.
  • Proficiency in embedded systems, C/C++, and scripting languages (Python, Bash, etc.) with top-notch debugging and diagnostic abilities.
  • Solid grasp of embedded systems, real-time operating systems, ADAS sensor sets, and software integration principles.
  • Proficient in Linux and QNX environments.
  • Extensive knowledge of autonomous vehicle stack integration and firsthand experience in overcoming system challenges.
  • Knowledge of CI/CD topics, version control and Dockers.
  • Familiarity with vehicle architecture and communication protocols such as CAN, Flexray, and Ethernet.
  • Willingness to travel to customer locations across Europe (approximately 3+ onsite visits per year) to provide on-site technical support, with flexibility in work hours as needed.

Benefits

Comp & perks
  • NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
  • Free snacks and drinks at the office.