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Machine Learning Software Engineer

Applied Intuition· Self-Driving Systems
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Stuttgart€100k - €150kFull-timePosted 3mo ago

About the role

Software engineer role focused on ML-first perception, prediction or planning for autonomous vehicles or mobile robots, contributing to ML capabilities of an autonomous vehicle stack and collaborating within an autonomy-focused team.

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 deployment and optimizationC++Python

Benefits

  • 30 days of paid vacation per year
  • Daily meal benefits: €19 lunch budget and €19 dinner budget, free breakfast, snacks, and drinks in the office
  • €965 annual learning & development and €580 annual fitness budget
  • Subsidized Wellpass membership, giving access to thousands of gyms, studios, and wellness facilities across Germany
  • €25 monthly contribution to Deutschlandticket for regional public transport across Germany
  • Generous parental leave: on top of statutory parental leave
Last updated Oct 11, 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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