Applied Intuition is a vehicle intelligence company founded in 2017 that accelerates the global adoption of safe, AI-driven machines. The company offers an ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers build intelligent systems, create next-generation experiences, and reduce time to market. With trust from top automakers and defense programs worldwide, Applied Intuition serves industries including automotive, defense, trucking, construction, mining, and agriculture.
Open Positions
ML Runtime Optimization Engineer
B.Sc in Computer Science or related field, expertise in ML optimization and deployment, proficiency in C++ and Python, experience with deep learning frameworks
Application Security Engineer
5+ years of experience in product security engineering, strong architectural review skills, and ability to conduct thorough vendor security assessments
Staff Software Engineer
7-10+ yrs shipping complex software. Designing/architecting complex solutions. Experience in C++, Python, TypeScript, or Go
Systems Engineering Autonomous Driving - Perception
3+ years of experience in a system engineering role with expertise in different sensor modalities used for autonomous driving
Software Engineer - Validation Toolset
At least 3-6 years of industry experience and expertise with modern programming languages
Senior Embedded Software Engineer
6+ years of experience in embedded devices, strong background in C/C++ and assembly languages, experience in developing low-level drivers and test tools
System Safety Engineer Autonomous Driving - Autonomy Stack
5+ years of experience in System Safety Engineering, MS/BS degree in Computer Science or equivalent, expertise in mechanical, electrical, and software engineering
ML Runtime Optimization Engineer
Bachelors in Electrical Engineering or Computer Science, 3+ years of experience with ML accelerators, strong software development skills
Software Engineer - Core OS
6+ years of embedded device experience, strong C/C++ and assembly language skills, experience with Android BSP and middleware, advanced debugging skills
Senior Software Engineer - ML Infrastructure
5+ years of experience in software development, knowledge of machine learning and open source landscape, excellent analytical and problem-solving skills
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