Software Engineering Intern, Test Automation — Autonomous Vehicles

NVIDIA
Munich
Workplace: OnsiteInternshipFunction: QA, Test & Release EngineeringEducation: phdSkills: ["Analytical mindset","Communication"]

Join the ADAS Engineering team to automate validation workflows for ADAS software on test benches. Build test frameworks and CI/CD-integrated automation that continuously verifies software changes. Develop LLM-based log analysis pipelines to parse, classify, and triage failures from in-vehicle and simulation runs, reducing manual triage time. Create tools to detect regressions, anomalies, and performance degradation across large volumes of test data.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
1 day ago

Software Engineering Intern, Test Automation — Autonomous Vehicles

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Join the ADAS Engineering team to automate validation workflows for ADAS software on test benches. Build test frameworks and CI/CD-integrated automation that continuously verifies software changes. Develop LLM-based log analysis pipelines to parse, classify, and triage failures from in-vehicle and simulation runs, reducing manual triage time. Create tools to detect regressions, anomalies, and performance degradation across large volumes of test data.
Location: Munich
Workplace: Onsite
Employment Type: Internship
Job Function: QA, Test & Release Engineering
Seniority: Intern level

Key Responsibilities

  • •Design and implement automated test frameworks for ADAS functions on test benches.
  • •Build LLM-based log analysis pipelines to parse, classify, and triage failures from in-vehicle and simulation runs.
  • •Develop scripts and tools to detect regressions, anomalies, and performance degradations across large volumes of test logs and sensor data.
  • •Integrate test automation tooling into existing CI/CD infrastructure for continuous ADAS validation.
  • •Collaborate with engineers to build tools and frameworks that scale the ADAS validation pipeline.

Key Requirements

  • •Pursue a Master's or PhD degree in Computer Science, Electrical Engineering, Computer Engineering, or Robotics.
  • •Strong Python skills, including writing production-quality scripts for data processing or test automation.
  • •Familiarity with Linux-based development environments and shell scripting (Bash).
  • •Experience with version control systems such as Git and GitLab.
  • •Analytical mindset to work through ambiguous failure scenarios and clearly communicate findings.
Experience:Autonomous drivingADASTest automationCI/CD
Education:PhD / Doctorate in Computer Science, Electrical Engineering, Computer Engineering, or Robotics
Skills:Analytical mindsetCommunication
Tech Stack:PythonLinuxBashGitGitLabCI/CDLLMsC++CANEthernetROS bagsMDF

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
WebsiteLinkedInGlassdoor