
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.
🔥 12 hours ago
🏄 California, Oregon, +1 more states – Remote
💵 $184k - $356.5k / year
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 1%
Apache
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
Hadoop
Kubernetes
Linux
Python
Spark
C++
Go
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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.
• Implement and maintain data ingestion pipelines from diverse sources • Design and optimize data serving mechanisms for real-time and batch processing • Monitor data pipelines and services to identify and resolve issues • Collaborate with cross-functional teams to improve processing efficiency, reduce latency, and enhance system performance • Implement validation and data quality checks • Scale data infrastructure for increasing volumes of autonomous-vehicle data • Create and maintain documentation for ingestion and serving processes • Work with the AV development team to understand data requirements and enhance data-driven solutions
• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) • 8+ years of relevant experience working on autonomous vehicles and/or software infrastructure • Extensive expertise in developing distributed systems • Proven experience designing and building data ingestion pipelines for large-scale systems • Strong proficiency in data warehousing concepts, data modeling, and database management systems • Proficiency in Go and C++, with experience in scripting languages such as Python or Matlab in a Linux environment • Familiarity with distributed computing frameworks such as Apache Spark or Hadoop • Knowledge of cloud-based platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes) • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment
• Equity • Benefits
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