Senior Software Engineer - Autonomous Vehicles

NVIDIA is driving the autonomous vehicle revolution, delivering AI-powered visual computingplatforms that define tomorrow’s mobility. As vehicles become supercomputers on wheels, our challenge is to build the software foundation that makesadvanced driverassistanceand safety features truly intelligent.

We are seeking aSenior Software Engineer in Stuttgart, Germany, who thrives on solving complex, real-world ADAS problems — someone who can triage issues,identify rootcauses, andimplement robust fixes in a fast-moving development environment,specifically focusing on Active Safety features and interventionlogic.

Whatyou’llbe doing:

• Be responsible foradaptation of NVIDIA Drive software on development andproductionvehicles.

• Triaging, analyzing, and diagnosing complex issues acrosssafety-criticalADAS and autonomous driving systems — from sensor inputs to function-level behaviors.

• Collaborate with OEM and NVIDIAteamsto root cause software andfunctional problems,proposeimmediatesolutionsas well aslong-term corrective actions.

• Supportvehiclebring-up activities: software flashing, on-roadand provinggroundvalidation, datalogging, and functional validation.

• Understanding the SW builds, assessing the functional performancefromdataand 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 ensurerigor in quality reporting and validation coverage.

• Work across international, multidisciplinary teams (Europe, US, APAC, India) tocoordinatefixes and feature enhancements efficiently.

What we need to see:

• Strong background in ADAS development and triage, with at least 5+ years ofexperience including in-vehicle activities.

• Proficiencyin Linux and/or QNX-based embedded environments.

• Solid understanding of Active Safety functions from concept tovalidation.

• Demonstrated ability to systematically isolate issues using log analysis, datareview, and cross-functional technical coordination.

• BS/MS in Computer Science, Electrical, or Automotive Engineering (or equivalentpractical experience).

• Excellent communication skills — able to explain technical findings clearly andconcisely across engineering teams.

• Valid driver’s license and readiness for road testing and travel.

Ways to stand out from the crowd:

• Advanced programming inC++and Python. Experience in sensor-based automotive software (camera, radar, lidar, GPS,ultrasound).

• Hands-onexpertisein ADAS feature validation and use-case triaging.

• Familiarity with SoC-based automotive architectures, CUDA,TensorRTand GPUcomputing.

• Proven record ofidentifyingperformance bottlenecks and proposing designimprovements acrossperception, 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’dlove to meet you.