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 based in Stuttgart, Germany, to work directly with automotive customers on the integration and productionization of active safety software for the NVIDIA DRIVE platform. Your primary focus will be adapting NVIDIA software to vehicle platforms, diagnosing system-level issues and validating active safety functions and intervention logic (e.g., AEB. AES. ,,,) behavior in development and production vehicles. You will work across perception, fusion, planning, and vehicle integration to trace problems through the full software chain, identify root causes, implement or coordinate appropriate solutions, and turn findings into actionable input for NVIDIA engineering teams.
What you’ll be doing:
- 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 where needed 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 we need to see:
- 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, 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.
Ways to stand out from the crowd:
- 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
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.
Skills Required
- At least 8 years of ADAS development and triage experience, including in-vehicle activities
- Strong understanding of active safety functions, hazard mitigation, and functional safety principles
- Experience designing and implementing threat assessment algorithms, including time-to-collision
- Hands-on experience with longitudinal and lateral intervention planners
- Strong understanding of radar and camera perception outputs, object confidence, and classification uncertainty
- Proficiency in Linux and/or QNX embedded environments
- Experience isolating issues using log analysis, data review, and cross-functional technical coordination
- Bachelor's or master's degree in Computer Science, Electrical Engineering, Automotive Engineering, or equivalent practical experience
- Excellent technical communication skills
- Valid driver's license and readiness for road testing and travel
- Experience with active safety, perception, sensor fusion, planning, or controller software
- 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 and commercial-vehicle-specific active safety regulations
- Understanding of Euro NCAP protocols, including Safe Driving and Crash Avoidance scoring
- Experience with fleet-data triage, corner-case analysis, and data-driven development loops
- Hands-on experience with AI/ML workflows and deep neural network development or integration
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
