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Nvidia Software Engineer Autonomous Vehicle 
China, Beijing, Beijing 
548632934

Today

What you will be doing:

  • Identify, troubleshoot, and resolve system-level issues that affect the performance andreliability/reproducibilityof replay tests.

  • Build and improve tools that automate the testing process, enabling a culture of test-driven development across the company.

  • Collaborate with engineering, data science, and release to monitor and enforce robust criteria for measuring and gating releases.

  • Design, develop, and maintain software infrastructure and tooling for regression monitoring and measuring the behavior and performance of autonomous driving systems.

  • Provide concrete insights from analysis to improve the quality of new features.

  • Create/Lead and maintain dashboards, reports, and data visualization tools that allow others to understand software performance.

  • Contribute to improve the overall process, quality of products

What we need to see:

  • BS (or equivalent experience), MS, or higher degrees in Engineering or Science field.

  • 3+ years of software engineering experience, preferably in the field of simulation, autonomous systems, robotics, artificial intelligence or related areas.

  • Proficiency in Python (highly preferred), C++ or similar high-level programming languages.

  • Experience working with large datasets, SQL

  • Experience with source control like git, Gerrit

  • Strong design, coding, analytical, debugging, and problem-solving skills

  • Strong understanding of software testing methodologies and test-driven development.

  • Excellent problem-solving, analytical skills, and technical troubleshooting skills.

  • Strong communication and collaboration skills.

  • Demonstrated ability to perform in situations with high ambiguity and competing priorities.

Ways to stand out from the crowd:

  • Experience with scaling the use of autonomous vehicles simulation frameworks.

  • Good at Bazel, Docker, Jenkins.

  • Knowledge of AI/ML systems, or AI-native systems

  • Having Experience in large-scale simulation for hardware or software validation of any robotics solution.