Senior Software Engineer – Active Safety, Autonomous Vehicles

This is a fully remote position, open to applicants in Germany.

📋 Description

• Integrate and adapt NVIDIA DRIVE Active Safety software for customer development and production vehicles.

• Assess and troubleshoot issues throughout the active safety chain, from sensor input to perception, fusion, and maneuver behavior.

• Collaborate with customer teams and NVIDIA engineering teams across Europe, the US, APAC, and India to determine root causes and implement program-level solutions.

• Configure and fine-tune active safety software for various vehicle platforms, sensor setups, vehicle geometries, and braking performance.

• Execute targeted adaptations in C++ or Python, along with debugging tools and analysis workflows to resolve integration and functional challenges for customers.

• Evaluate functional performance through recorded-data replay and in-vehicle testing.

• Convey findings to customers and NVIDIA engineering teams.

• Engage in vehicle bring-up, software flashing, data logging, testing, and functional validation.

⛳️ Requirements

• A minimum of 8+ years of experience in ADAS development and issue resolution, including hands-on in-vehicle activities.

• Strong comprehension of Active Safety functions from inception to validation, encompassing hazard mitigation and functional safety principles.

• Experience in designing and implementing threat assessment algorithms, including time-to-collision (TTC) metrics.

• Practical development of longitudinal and lateral intervention planners, converting threat assessments into smooth, physically feasible braking and steering commands.

• Solid understanding of radar and camera perception outputs, including object confidence and classification uncertainty.

• Proficient in Linux and/or QNX-based embedded environments.

• Capability to systematically identify issues through log analysis, data review, and cross-functional technical coordination.

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

• Exceptional communication skills.

• Valid driver’s license and willingness to engage in road testing and travel.

• Experience with active safety software or related perception, fusion, planning, or controller functionalities.

• Practical experience with camera- and radar-based active safety systems in production.

• Experience in integrating ADAS software into customer vehicle platforms and supporting automotive series programs.

• Familiarity with commercial vehicles and specific active safety regulations for commercial applications.

• In-depth knowledge of Euro NCAP protocols, including optimization for Safe Driving and Crash Avoidance scoring stages.

• Experience with data-driven development cycles, fleet-data assessment, corner-case analysis, and providing feedback to model-training teams.

• Hands-on experience with AI/ML workflows and the development or integration of deep neural networks.

🏝️ Benefits

• Competitive compensation.

• World-class benefits.