PhD Research Intern, Autonomous Systems, Physical AI Research

🔥 7 minutes ago

🇸🇬 Singapore – Remote

⏰ Full Time

⚪️ Entry-level

🧠 AI Research Scientist

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

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

• Design and implement cutting-edge techniques for autonomous vehicles, robotics, and physical AI • Conduct original research and publish results • Collaborate with research colleagues, internal product teams, and external researchers • Transfer developed technology to relevant product groups

🎯 Requirements

• Currently pursuing a PhD in Robotics, Computer Science, Computer Engineering, or a related field • Relevant research experience in autonomous vehicles, robotics, embodied AI, or autonomous systems • Strong knowledge of the theory and practice of vehicle or robot autonomy, or expertise in a related area with a strong interest in applying it to autonomous systems • Track record of research excellence demonstrated through publications at leading conferences and journals such as RSS, ICRA, CoRL, IJRR, NeurIPS, ICML, CVPR, TAC, etc., and through other research artifacts such as open-source software • Exceptional Python programming skills • Experience with C++ and parallel programming, such as CUDA, is a plus • Experience with machine learning frameworks such as PyTorch • Strong communication and interpersonal skills • Ability to thrive in a dynamic, research-focused team

🏖️ Benefits

• Opportunity to publish research • Opportunity to open-source code • Collaborative culture • Opportunities to influence real-world products while conducting publishable research