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Machine Learning Software Engineer

Applied Intuition
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Hybrid (Stuttgart)Full-timePosted 10mo ago

About the role

Machine Learning Software Engineer role focused on ML-first perception, prediction or planning for autonomous vehicles or mobile robots, building out key ML capabilities of an autonomous vehicle stack and contributing to ML infrastructure and workflows.

Responsibilities

  • 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

Qualifications

  • Experience with the end-to-end development cycle of deep learning models
  • 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

Skills

Required:End-to-end DL model developmentModel optimizationInput pipelinesDeploymentC++Python

Benefits

  • Lunch and dinner allowance
  • Fitness (600 USD) and learning stipends (1,000 USD) annually
  • Stock options
Last updated May 26, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
Company profileWebsite

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