Senior Data Backend Engineer
NVIDIA· Engineer, Sys SW
Santa Clara, CA, Hybrid (Remote - US)$184k - $287.5k + equityFull-timePosted 3mo ago
About the role
Senior technical role focused on building high-performance AI data pipelines and microservices for autonomous vehicle data, enabling data mining and AI training at scale.
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.
Qualifications
- Experience developing high-performance, scalable software systems.
- MS with 6+ years, or BS (or equivalent) 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, vector databases (e.g., Milvus).
- Strong architectural skills with a proactive, problem-solving mentality.
- Experience in data mining | 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.
Skills
Required:PythonGolangKubernetesHelmParquetSQLVector databases
Nice to have:Hive
Benefits
- equity
- benefits (see NVIDIA benefits)
Last updated Oct 23, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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