Senior Software Engineer - Autonomous Vehicles

NVIDIA is driving the autonomous vehicle revolution, delivering AI-powered visual computing platforms that define tomorrow’s mobility. As vehicles become supercomputers on wheels, our challenge is to build the software foundation that makes advanced driver assistance and safety features truly intelligent. 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). NVIDIA offers competitive compensation and world-class benefits. If you excel at uncovering hidden problems, restoring stability to complex systems, and driving safe intelligent cars toward production — we’d love to meet you.