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What you will be doing:
Identify, troubleshoot, and resolve system-level issues that affect the performance and reliability of our simulation infrastructure.
Design, develop, and maintain software infrastructure that supports large-scale, high-fidelity simulation of autonomous driving systems.
Collaborate across engineering, data science, test engineering, and release to build and scale test solutions that address gaps in coverage and frameworks and mitigate risks to the project.
Build and improve tools that automate the testing process, enabling a culture of test-driven development across the company.
Mentor and guide junior engineers, promoting a culture of technical excellence and collaborative problem solving.
What we need to see:
BS (or equivalent experience), MS, or PhD in Engineering or Science field.
5+ years of software engineering and data analysis experience, preferably in the field of simulation, autonomous systems, robotics, artificial intelligence or related areas.
Proficiency in Python, C++ or similar high-level programming languages.
Experience with distributed computing and cloud technologies.
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.
You will also be eligible for equity and .
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