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NVNVIDIA

Software Engineer – Autonomous Driving(m/w/x)

München
VollzeitVor OrtBerufserfahren
AI/ML

Developing C/C++ planning and control algorithms for NVIDIA's autonomous driving software stack. Minimum 2 years of real-time embedded control systems experience required. 4-day work week, company car for private use.

Anforderungen

  • Solid software development skills (C/C++)
  • Prior knowledge of trajectory planning, vehicle control, vehicle ECU, Drive-by-Wire systems, in-vehicle network, and autonomous vehicles
  • BS, MS, or higher degree in Mechanical Engineering, Electrical Engineering, Engineering Cybernetics, Computer Science, or equivalent experience
  • Knowledge and hands-on application of advanced control theories (classical control, nonlinear control, MPC, optimal control)
  • Minimum 2 years of experience in C/C++ software development for real-time embedded control systems (e.g., vehicle ECU systems)
  • Understanding of test and verification methodologies for automotive software; know-how in writing unit and system level tests
  • Good communication and organization skills, logical problem-solving, good time management and task prioritization
  • Proactive 'can do' attitude and ability to work with minimum supervision
  • Willingness to travel around Europe to support NVIDIA partners
  • Experience as control software engineer at automotive Tier 1 or OEM
  • Experience in NCAP and ADAS functions testing and validation
  • Understanding of vehicle architecture and communication protocols (CAN, LIN, Ethernet)
  • Driving experience in Europe, ideally certified test driver

Aufgaben

  • Support design and development of advanced automotive control algorithms
  • Adapt NVIDIA’s autonomous driving software stack to meet vehicle dynamics KPIs
  • Integrate and adapt NVIDIA's in-vehicle solutions for different platforms
  • Test and tune controller performance across various vehicle types and environments
  • Debug controller issues in test campaigns and simulations
  • Provide feedback on system architecture, failure modes, and redundancy
  • Collaborate with architecture, tools, and system software teams
  • Influence design of next-generation architectures and software platforms
  • Investigate impact on application performance and development productivity

Berufserfahrung

  • 2 Jahre

Ausbildung

  • Doktor / Ph.D.

Sprachen

  • Englischverhandlungssicher

Tools & Technologien

  • C/C++
  • CAN
  • LIN
  • Ethernet

Benefits

Attraktive Vergütung

  • Highly competitive salaries

Sonstige Vorteile

  • Comprehensive benefits package
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