Senior AV Data Ingestion & Streaming Engineer

NVIDIA; Washington; On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Washington state seeks an experienced data infrastructure engineer to scale AV data pipelines, implement ingestion from diverse sources, and optimize real‑time and batch data serving across teams.

You will design data models and warehouses, build distributed systems with Go and C++, use Spark/Hadoop, and deploy on cloud platforms with Docker/Kubernetes. This senior role includes equity and benefits.

Qualifications

• 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 in designing and building data ingestion pipelines for large-scale systems.
• Strong proficiency in data warehousing concepts, data modeling, and database management systems.
• Proficient in Go, C++ and have experience with scripting languages such as Python or Matlab in a Linux environment
• Familiarity with distributed computing frameworks like Apache Spark or Hadoop.
• Hands-on experience with data streaming technologies (e.g., Kafka, RabbitMQ) is a plus.
• Knowledge of cloud-based platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Responsibilities

• Implement and maintain data ingestion pipelines from diverse sources, ensuring a continuous and reliable flow of AV data into the system.
• Design and optimize data serving mechanisms to deliver AV data to different teams and applications in real-time and batch processing scenarios.
• Monitor data pipelines and services to proactively identify and resolve any issues, ensuring data availability and reliability.
• Collaborate with cross-functional teams to improve data processing efficiency, reduce latency, and enhance overall system performance.
• Implement validation and data quality checks to ensure the integrity and accuracy of ingested data.
• Scale data infrastructure to handle the ever-increasing volumes of AV data generated by our expanding fleet of vehicles.
• Create and maintain detailed documentation for data ingestion and serving processes, ensuring knowledge sharing across the team.
• Work closely with the AV development team to understand data requirements and contribute to the enhancement of data-driven solutions.

Skills

Distributed systems

Go

C++

Python scripting

Linux

Data ingestion pipelines

Data warehousing

Data modeling

Kafka / RabbitMQ

Cloud platforms

Education

Bachelor's degree in Computer Science, Engineering

Equivalent experience

Tools

Docker

Kubernetes

Apache Spark

Hadoop

AWS

GCP

Azure

Job description

NVIDIA in Washington state seeks an experienced data infrastructure engineer to scale AV data pipelines, implement ingestion from diverse sources, and optimize real‑time and batch data serving across teams.

You will design data models and warehouses, build distributed systems with Go and C++, use Spark/Hadoop, and deploy on cloud platforms with Docker/Kubernetes. This senior role includes equity and benefits.