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Key skills for this role
We are looking for software engineers with expertise in ML-first perception, prediction or planning for autonomous vehicles or mobile robots. Your contributions will focus on building out key ML capabilities of an autonomous vehicle stack.
In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the autonomy industry. We move fast and focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied Intuition is the place for you!
We are looking for software engineers with expertise in ML-first perception, prediction or planning for autonomous vehicles or mobile robots. Your contributions will focus on building out key ML capabilities of an autonomous vehicle stack.
In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the autonomy industry. We move fast and focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied Intuition is the place for you!
Design and implement capabilities and workflows for cutting-edge real-world perception or planning/prediction systems
Leverage established products at Applied Intuition to build the software and infrastructure foundation for our ML developments
Experience with the end-to-end development cycle of deep learning models
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Expertise in subdomains such as modeling, input pipelines, evaluation, deployment, and model optimization
3+ years of experience building production software using modern software practices
Fluency in C++, or fluency in Python with intermediate experience in C++
Deep understanding of the concepts and methods behind any frameworks or libraries that they worked with
Experience working with production level ML and DL perception algorithms for autonomous vehicles
MSc or PhD in machine learning, ideally applied to perception, prediction,planning or closely related field
Experience building and shipping software frameworks or tools
Experience with driver assistance or autonomous driving systems
Experience in evaluating and improving system-in-the-loop model performance
Deep hands-on expertise in relevant algorithms or methods, such as non-linear optimization, computational geometry, numerical analysis, or distributed systems
Applied Intuition develops simulation, validation, and development tools for autonomous vehicles and advanced driver-assistance systems used by leading automotive and trucking companies.
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Mid · 3+ years experience
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