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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.
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