Job
- Level
- Senior
- Job Field
- IT, Security, Test/QA
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Stuttgart
- Working Model
- Onsite
Job Summary
In this role, you will develop test strategies and scenarios for autonomous driving features, define performance metrics, and work closely with cross-functional teams to conduct testing and validation for Level 3 and 4 products.
Job Technologies
Your role in the team
- Develop test strategy and use cases/scenarios for L3 and L4 autonomous driving products based on customer needs, traffic regulations, certification standards, and industry guidelines.
- Define test strategy and execution plan on vehicle platform.
- Formuliere Testfälle und definiere kritische Leistungskennzahlen, um die Einhaltung der funktionalen und sicherheitsrelevanten Anforderungen sicherzustellen.
- Close collaboration with different stakeholders to define the KPIs and evaluate the product progress by closing the loop with test data/results.
- Establish strong cross-functional relationships with collaborators across engineering, safety, and product teams.
- Scale and innovate the product ODDs by designing campaigns and roadmap.
- Lead L3/L4 vehicle integration and retrofitting, managing end-to-end processes to advance testing and validation schedules.
- Spearhead data triage and root cause analysis, driving issue resolution and generating comprehensive test reports.
- Promote and cultivate a strong systems engineering approach across the organization.
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Our expectations of you
Qualifications
- Proficiency in programming languages commonly used in AV development and testing (e.g., Python, C++) and familiarity with data query and analysis tools.
- Awareness of functional safety (ISO 26262), Safety of the Intended Functionality (SOTIF / ISO 21448), and V-model validation methodologies.
- Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations.
- Proven understanding of trade-offs between End-to-End deep learning approaches, classical modular perception/planning stacks, and associated validation and test strategies.
- Deep understanding of autonomous vehicle sensor suites (LiDAR, Radar, Camera, Ultrasonic) and their specific failure modes, edge cases, and validation requirements.
- Provide technical mentorship to junior engineers and lead by example in establishing rigorous testing and validation standards.
Experience
- MS or PhD in Engineering, Physics, Computer Science, or a related field (or equivalent experience).
- 10+ years proven experience in ADAS, system analysis, data analysis, and software architecture.
- 3+ years of experience driving the mass-production launch of autonomous driving products, including supervised FSD, urban NOA, or equivalent features.
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What we offer
- The position requires on-site presence at NVIDIA's Stuttgart garage facility and at customer locations throughout the Stuttgart area.
- Candidates are expected to be locally based and available for regular on-site work.
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Topics You Will Work On
Job Locations
About Your Employer
Nvidia
For the past two decades, NVIDIA has been constantly reinventing itself. The invention of the GPU by NVIDIA in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing.
Description
- Founding Year
- 1999
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Trade