Senior Data Backend Engineer
$184k - $357k • Remote • US, CA, Santa Clara
Posted 1d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
Machine Learning Engineer
About the job
NVIDIA is a global leader in high-speed computer vision, artificial intelligence (AI), and deep learning. Our team develops data engineering solutions that empower AI developers in autonomous vehicle (AV) domains to innovate quickly and effectively at scale. We seek an exceptional individual to design and optimize microservices and data pipelines to process massive volumes of AV data and enable seamless data mining and AI training. The ideal candidate will bring expertise in big data processing and distributed computing to create efficient solutions and overarching architectures for challenges such as video data curation, behavioral search, and AI dataset management.
Responsibilities
- 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.
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 key technologies like Kubernetes, Helm, Hive, Parquet, SQL, and vector databases (e.g., 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 new technologies such as NVIDIA RAPIDS.
Benefits
- Equity
- Benefits