# Autonomous Vehicles Software Engineer

**Company**: NVIDIA
**Location**: Shenzhen
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shenzhen/System-Software-Engineer-Intern--Autonomous-Vehicles---2027_JR2028172?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/autonomous-vehicles-software-engineer-b7652261-91e/

## Description

NVIDIA's Autonomous Vehicles team is seeking a software engineer to develop and ship the company's DRIVE software platform. The successful candidate will work on the AV Stability group, which focuses on the reliability of the full stack on real vehicles.

Responsibilities:

- Use in-house data playback, simulation, and visualization tools to re-animate and reproduce performance issues experienced during test drives.

- Collaborate with software and algorithm experts to investigate, deduce, and isolate root causes of test drive issues, and to develop fixes and improvements.

- Design and implement Autonomous Vehicles software, including system integration, application design, performance/power optimization, and stress/stability/compliance testing.

- Drive the reliability of the whole software system, including time sync, vehicle network, RADAR, LiDAR, and camera sensor processing, and fusion.

- Help turn hard-won debugging expertise into tooling and automation, including AI-assisted analysis of logs and vehicle data, so that problems are found faster and recur less.

- Develop a strong technical understanding of the stack, and proactively identify new opportunities and creative ways to solve or mitigate technical challenges.

Requirements:

- Pursuing a BS or MS in Computer Science, Electrical Engineering, Robotics, or a related field.

- Demonstrated proficiency in both C/C++ and Python.

- Strong debugging instincts and ability to read logs and traces.

- 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.

Preferred qualifications:

- Good knowledge of key Autonomous Driving technologies and the typical challenges of key components.

- Experience working with CAN and related tools, RADAR, LiDAR.

- Hands-on experience with LLM-based tooling.

- Experience with large-scale log analysis and cloud-based workflows.

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## Skills

### Required
- C/C++
- Python
- git
- debugging
-  Autonomous Vehicles

### Nice to have
- Autonomous Driving
- CAN
- RADAR
- LiDAR
- LLM-based tooling
- log analysis

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shenzhen/System-Software-Engineer-Intern--Autonomous-Vehicles---2027_JR2028172?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)