Senior Software Engineer - Autonomous Vehicles

Senior Software Engineer - Autonomous Vehicles

Nvidia

Stuttgart or Remote, Germany

We are seeking a Senior Software Engineer in Stuttgart, Germany, who thrives on solving complex, real-world ADAS problems - someone who can triage issues, identify root causes, and implement robust fixes in a fast-moving development environment, specifically focusing on Active Safety features and intervention logic.

What you’ll be doing:

• Be responsible for adaptation of NVIDIA Drive software on development and production vehicles.
• Triaging, analyzing, and diagnosing complex issues across safety-critical ADAS and autonomous driving systems - from sensor inputs to function-level behaviors.
• Collaborate with OEM and NVIDIA teams to root cause software and functional problems, propose immediate solutions as well as long-term corrective actions.
• Support vehicle bring-up activities: software flashing, on-road and proving ground validation, data logging, and functional validation.
• Understanding the SW builds, assessing the functional performance from data and understanding the functional issues.
• Debug and verify active safety functions including emergency braking, emergency steering.
• Drive end-to-end traceability - from requirements to test results - and ensure rigor in quality reporting and validation coverage.
• Work across international, multidisciplinary teams (Europe, US, APAC, India) to coordinate fixes and feature enhancements efficiently.

What we need to see:

• Strong background in ADAS development and triage, with at least 5+ years of experience including in-vehicle activities.
• Proficiency in Linux and/or QNX-based embedded environments.
• Solid understanding of Active Safety functions from concept to validation.
• Demonstrated ability to systematically isolate issues using log analysis, data review, and cross-functional technical coordination.
• BS/MS in Computer Science, Electrical, or Automotive Engineering (or equivalent practical experience).
• Excellent communication skills - able to explain technical findings clearly and concisely across engineering teams.
• Valid driver’s license and readiness for road testing and travel.

Ways to stand out from the crowd:

• Advanced programming in C++ and Python. Experience in sensor-based automotive software (camera, radar, lidar, GPS, ultrasound).
• Hands-on expertise in ADAS feature validation and use-case triaging.
• Familiarity with SoC-based automotive architectures, CUDA, TensorRT and GPU computing.
• Proven record of identifying performance bottlenecks and proposing design improvements across perception, fusion, or planning modules.
• Deep understanding of Euro NCAP protocols, including scoring optimization for "Safe Driving" and "Crash Avoidance" stages (e.g., VRU protection, junction scenarios, and DSM requirements).