20 hours ago
Stuttgart, GermanySenior
Responsibilities
- Develop test strategies, use cases, scenarios, and execution plans for L3/L4 autonomous-driving products and vehicle platforms.
- Define test cases and critical performance metrics based on functional and safety requirements, customer needs, regulations, certification standards, and industry guidelines.
- Collaborate with engineering, safety, product, and other stakeholders to define KPIs, evaluate product progress, and close the loop using test data and results.
- Design campaigns and roadmaps to scale and innovate operational design domains (ODDs).
- Lead L3/L4 vehicle integration and retrofitting, managing end-to-end processes to advance testing and validation schedules.
- Perform data triage and root-cause analysis, drive issue resolution, and produce comprehensive test reports.
- Promote systems engineering practices and mentor junior engineers while establishing rigorous testing and validation standards.
Requirements
- MS or PhD in Engineering, Physics, Computer Science, or a related field, or equivalent experience.
- 10+ years of experience in ADAS, systems analysis, data analysis, and software architecture.
- At least 3 years of experience driving mass-production launches of autonomous-driving products, including supervised FSD, urban NOA, or equivalent features.
- Proficiency in programming languages used in autonomous-vehicle development and testing, such as Python and C++, plus familiarity with data-query and analysis tools.
- Awareness of functional safety, ISO 26262, SOTIF/ISO 21448, and V-model validation methodologies.
- Strong leadership and interpersonal skills with the ability to align large organizations.
- Understanding of trade-offs between end-to-end deep learning and classical modular perception/planning stacks, including their validation and testing strategies.
- Deep understanding of LiDAR, Radar, Camera, and Ultrasonic sensor suites, including failure modes, edge cases, and validation requirements.
- Experience contributing to a launched L3/L4 autonomous-vehicle program and hands-on experience with ADAS testing strategy, large-scale datasets, and data analytics workflows are preferred.
Benefits
- The position requires regular on-site work at NVIDIA’s Stuttgart garage facility and customer locations throughout the Stuttgart area.
- Candidates are expected to be locally based in the Stuttgart area.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.