NVIDIA
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.
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Senior Software Engineer, Compute Infrastructure – Robotics Research
Job not on LinkedIn
October 9
NVIDIA
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.
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
📋 Description
• Develop mechanisms to launch and manage large compute jobs to support multi-modal foundation models for robotics • Optimize GPU and cluster utilization for efficient model training, fine-tuning, and evaluation on massive datasets • Develop robust observability tools and procedures for this compute infrastructure to ensure reliability and performance • Collaborate with researchers to integrate innovative compute technologies into scalable training and eval pipelines
🎯 Requirements
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience • 5+ years of full-time industry experience in large-scale MLOps and AI infrastructure • Experience with ML frameworks like PyTorch, JAX, or TensorFlow • Deep understanding of Kubernetes, experience with Ray • Experience with data frameworks and standards like SQL, Apache Spark, LanceDB • Experience of GPU acceleration and CUDA programming • Strong programming skills in Python and a high-performance language such as C++ for efficient system development.
🏖️ Benefits
• equity • benefits
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