Join Applied Intuition to design and build scalable Python-based tooling for autonomous systems in a collaborative environment.
Posted by employer 7 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 16 hours ago
Skills & Technologies
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the software engineer focuses on designing and building Python-based tools and infrastructure to enhance the development of autonomous systems for mining and construction vehicles. Key skills include experience in backend systems and developer tools, with a strong emphasis on Python programming. This position is ideal for candidates with at least one year of relevant experience, particularly those with a background in robotics or autonomous driving systems. Applied Intuition fosters a collaborative environment, encouraging engineers to work closely across various teams.
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Quick facts
From the original posting
Applied Intuition's Self-Driving System (SDS) for Mining & Construction is building a modular, production-grade autonomy and operator-assist stack for construction and mining vehicles. Our team is looking for software engineers to develop the tooling and infrastructure that enables rapid development, testing, and deployment of autonomous systems at scale.
If you're motivated by complex systems, ownership across boundaries, and real-world impact, this is where architecture meets autonomy.
Design and build scalable Python-based tooling and infrastructure to support development across the autonomy stack.
Build systems that support fleet management and vehicle communication
Contribute to the design of scalable systems that support multiple vehicle platforms and operating environments.
Closely collaborate with engineers across the stack.
Bachelor’s in Computer Science, Mathematics, or related field.
1+ years of experience in shipping complex software in Python.
Experience building backend systems, developer tools, or infrastructure
A MSc or PhD in computer science or applied mathematics with coursework or research experience in robotics.
Experience with driver assistance or autonomous driving systems or off-road products.
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