Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
NVIDIA

System Software Engineer Intern, Autonomous Vehicles

NVIDIA

. Use in-house data playback, simulation, and visualization tools to reproduce performance issues from test drives .

Posted 11/6/2026full-timeShenzhen • ChinaEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in autonomous-vehicle software design and implementation, including system integration, performance optimization, and debugging. Proficient in C/C++ and Python, with a strong understanding of autonomous driving technologies and tools.

Highest-signal resume keywords
C/C++ ProgrammingPython ProgrammingDebugging SkillsAutonomous Driving TechnologiesCAN and LiDAR Experience

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
C/C++ ProgrammingPython ProgrammingDebugging SkillsPerformance OptimizationSystem IntegrationAI Coding AssistantsLarge-Scale Log AnalysisCloud-Based WorkflowsStress TestingCompliance Testing
Soft Skills
Effective CommunicationTeam CollaborationSelf-MotivationFlexibility
Tools & Technologies
GitAI-Assisted Analysis ToolsVehicle NetworksRADARLiDARSensor FusionDebugging ToolingAutomation ToolsLLM-Based ToolingContext Design
Industry Keywords
Autonomous VehiclesPerformance IssuesSimulation ToolsVisualization ToolsVehicle DataTechnical ChallengesMultinational EnvironmentComponent Challenges

Tech Stack

Tools & technologies
CloudPythonC++

About the role

Key responsibilities & impact
  • Use in-house data playback, simulation, and visualization tools to reproduce performance issues from test drives
  • Collaborate with software and algorithm experts to investigate, isolate root causes, and develop fixes and improvements
  • Design and implement autonomous-vehicle software, including system integration, application design, performance/power optimization, and stress, stability, and compliance testing
  • Drive reliability of the full software system, including time synchronization, vehicle networks, RADAR, LiDAR, camera sensor processing, and sensor fusion
  • Develop debugging tooling and automation, including AI-assisted analysis of logs and vehicle data
  • Build technical understanding of the software stack and identify creative solutions to technical challenges

Requirements

What you’ll need
  • Pursuing a BS or MS in CS/CE/EE/Robotics or a related field
  • Demonstrated proficiency in both C/C++ and Python
  • Strong debugging instincts; ability to read logs and traces, form hypotheses, and validate them with evidence
  • Ability to use modern AI coding assistants in everyday workflow while verifying their output
  • Familiarity with git or other version control tooling
  • Ability and flexibility to work and communicate effectively in a multinational, multi-time-zone environment
  • Self-motivated and a good teammate
  • Good knowledge of autonomous driving technologies and typical component challenges is advantageous
  • Prior experience in the autonomous-vehicle field is advantageous
  • Experience with CAN and related tools, RADAR, and LiDAR is advantageous
  • Hands-on experience with LLM-based tooling, including prompt and context design, tool calling, agent workflows, or model-output evaluation is advantageous
  • Experience with large-scale log analysis and cloud-based workflows is advantageous

Benefits

Comp & perks
  • Full-time internship opportunity