Senior Data Backend Engineer

🕒 Yesterday

🏄 California – Remote

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💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 11%

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Logo of NVIDIA

NVIDIA

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

• Scope and build tools, microservices, workflows, and distributed applications to accelerate data mining and AI training • Design and implement solutions for streaming, resilience, logging, security, authentication, workflow orchestration, and data management • Deploy AI models • Design and develop Retrieval-Augmented Generation (RAG) workflows enabling hybrid and agentic patterns • Analyze and operationalize complex distributed systems for speed-of-light performance • Develop data engineering solutions for AI developers in autonomous vehicle domains • Process massive volumes of autonomous vehicle data for video data curation, behavioral search, and AI dataset management

🎯 Requirements

• Experience developing high-performance, scalable software systems • MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field • Strong programming skills in Python or Golang • Proficiency in Kubernetes, Helm, Hive, Parquet, SQL, and vector databases such as Milvus • Strong architectural skills with a proactive, problem-solving mentality • Experience in data mining and AI development • Experience building ETL pipelines and working with big data engines • Exceptional collaboration skills to work with system software and AI expert teams • Eagerness to learn and adopt technologies such as NVIDIA RAPIDS • Prior experience with large-scale real-time streaming, augmented reality, or data curation • Prior background with Spark • Exposure to Large Language Models, Vision-Language Models, and Retrieval-Augmented Generation (RAGs) • Innovative results, including patents, publications, or open source contributions

🏖️ Benefits

• Equity • Benefits

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