Senior Software Engineer — Active Safety for Autonomous Vehicles

Overview

Senior Software Engineer working directly with automotive customers on the integration and productionization of active safety software for the NVIDIA DRIVE platform, diagnosing system-level issues and validating active safety functions and intervention logic in development and production vehicles.

What you'll do

• Integrate and adapt NVIDIA DRIVE Active Safety software on customer development and production vehicles.
• Triage and analyze issues across the active safety chain, from sensor input through perception and fusion to maneuver behavior.
• Collaborate with customer teams and NVIDIA engineering teams across Europe, the US, APAC, and India to identify root causes, deliver program-level solutions, and drive longer-term product corrections.
• Configure and tune active safety software for different vehicle platforms, sensor configurations, vehicle geometries and braking performance.
• Implement targeted C++ or Python adaptations, debugging tools, and analysis workflows to resolve customer integration and functional issues.
• Measure functional performance through recorded-data replay and in-vehicle testing, and communicate findings clearly to customers and NVIDIA engineering teams.
• Work on vehicle bring-up, software flashing, data logging, testing and functional validation.

What you'll need

• Strong background in ADAS development and triage, with at least 8+ years of experience including in-vehicle activities.
• Solid understanding of Active Safety functions from concept to validation, including hazard mitigation and functional safety principles.
• Proven experience designing and implementing threat assessment algorithms, including time-to-collision (TTC).
• Hands-on development of longitudinal and lateral intervention planners, translating threat assessments into smooth, physically feasible braking and steering commands.
• Strong understanding of radar and camera perception outputs, including object confidence and classification uncertainty.
• Proficiency in Linux and/or QNX-based embedded environments.
• 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.

Nice to have

• Experience with active safety software, or closely related perception, fusion or planning and controller work.
• Production experience with camera- and radar-based active safety systems.
• Experience integrating ADAS software into customer vehicle platforms and supporting automotive series programs.
• Experience with commercial vehicles (heavy vans, trucks, or buses) and familiarity with commercial-vehicle-specific active safety regulations.
• 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).
• Experience with data-driven development loops, including fleet-data triage, corner-case analysis and feedback to model-training teams.
• Hands-on experience with AI/ML workflows and deep neural network development or integration, e.g., in perception tasks such as object detection, segmentation, or depth estimation.

Details

• Location: Stuttgart, Germany.
• Base salary: 112,200 EUR to 194,480 EUR for Level 4; 141,900 EUR to 245,960 EUR for Level 5.