NVIDIA
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
Senior Software Test Engineer, L3 and L4 – Autonomous Driving
🕒 April 24
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NVIDIA
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
📋 Description
• Develop test strategy and use cases/scenarios for L3 and L4 autonomous driving products • Define test strategy and execution plan on vehicle platform • Formulate test cases and define critical performance metrics • Collaborate with different stakeholders to define KPIs and evaluate product progress • Establish strong multi-functional relationships with collaborators • Lead L3/L4 vehicle integration and retrofitting • Spearhead data triage and root cause analysis • Promote and cultivate a strong systems engineering approach
🎯 Requirements
• 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 experience driving the mass-production launch of autonomous driving products • Proficiency in programming languages commonly used in AV development and testing (e.g., Python, C++) • Awareness of functional safety (ISO 26262) • Strong leadership and interpersonal skills • Proven understanding of trade-offs between End-to-End deep learning approaches and classical modular perception/planning stacks
🏖️ Benefits
• NVIDIA pioneered accelerated computing • Next era of computing • Diverse company culture • Strong systems engineering approach
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