DriveOS Test Automation Architect

NVIDIA; Santa Clara (CA); On-site; USD 140,000 - 270,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a senior software developer to advance testing and automation for DriveOS. You will push verification strategies, contribute to test automation systems, and influence our quality and performance for automotive software.

The role emphasizes large-scale Python/C++ development, AI-assisted coding, and collaboration with multiple teams to drive reliability and efficiency in verification processes.

Qualifications

• Bachelor's or Master's degree in Electrical Engineering, Computer Science, or related field, or equivalent experience.
• 5+ years of relevant work experience in software development with Python or C++ emphasis.
• Experience using AI coding assistants to improve coding efficiency and correctness.
• Experience with embedded systems and automotive sensors such as cameras.
• Proficiency in Linux/Unix-like systems and version control (Git, Perforce).
• Strong communication and collaboration skills; strong analytical capabilities.

Responsibilities

• Develop and extend test strategies to ensure high quality for DriveOS.
• Design and develop software to automate verification of DriveOS components.
• Collaborate with cross-functional teams to understand DriveOS applications and drive improvements.
• Analyze issues at the code level, drive defect resolution, and provide effective fixes.

Skills

Python

C++

AI coding assistants

Embedded systems

Linux

Git

Perforce

Team collaboration

Analytical skills

Education

Bachelor's or Master's degree in Electrical Engineering, Computer Science, or related field

Tools

Jama

Doors

Jira

Job description

NVIDIA is seeking a senior software developer to advance testing and automation for DriveOS. You will push verification strategies, contribute to test automation systems, and influence our quality and performance for automotive software.

The role emphasizes large-scale Python/C++ development, AI-assisted coding, and collaboration with multiple teams to drive reliability and efficiency in verification processes.