Senior Data Backend Engineer

at Nvidia

USD 184,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
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1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

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AI @ 4 Data Engineering Data Pipelines Distributed Systems ETL @ 4 Go Helm @ 6 Hive @ 6 Kubernetes @ 6 LLM Microservices Parquet @ 6 Python @ 7 RAG SQL @ 6 Security Spark @ 6 Vector Databases @ 6

Details

NVIDIA develops data engineering solutions that empower AI developers in autonomous vehicle domains. The team builds high-performance AI data pipelines, microservices, and distributed applications to process large volumes of autonomous vehicle data and support data mining, 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 supporting hybrid and agentic patterns.
Analyze and operationalize complex distributed systems for high performance.

Requirements

Experience developing high-performance, scalable software systems.
A master's degree with 6 or more years of relevant experience, or a bachelor's degree or equivalent experience with 8 or more years of relevant experience, in Computer Science, Computer Engineering, or a related technical field.
Strong programming skills in Python or Golang.
Proficiency with Kubernetes, Helm, Hive, Parquet, SQL, and vector databases such as Milvus.
Strong architectural skills and 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 for working with system software and AI expert teams.
Eagerness to learn and adopt technologies such as NVIDIA RAPIDS.

Preferred Qualifications

Experience with large-scale real-time streaming, augmented reality, or data curation.
Background with Spark.
Exposure to advances in AI, including Large Language Models, Vision-Language Models, and Retrieval-Augmented Generation.
Innovative results demonstrated through patents, publications, or open-source contributions.

Compensation and Benefits

The base salary range is USD 184,000–287,500 for Level 4 and USD 224,000–356,500 for Level 5. Compensation is determined based on location, experience, and the pay of employees in similar positions. The role is also eligible for equity and benefits.

Applications will be accepted at least until September 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.