Senior Software Engineer, Data Ingestion - Autonomous Vehicles

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Oregon is seeking an experienced data infrastructure engineer to design, implement, and maintain large‑scale data ingestion pipelines and real‑time data serving for AV workloads.

You will optimize distributed systems, build robust data models, and collaborate with cross‑functional teams to reduce latency, improve reliability, and scale data platforms across the fleet of vehicles. Experience with Kafka, Spark, and cloud services is highly valued.

Qualifications

• Bachelor's degree in CS, Engineering or related field, or equivalent experience.
• 8+ years of relevant autonomous vehicles/software infrastructure experience.
• Extensive experience building distributed systems.
• Proven ability to design and build large-scale data ingestion pipelines.
• Strong data warehousing, data modeling, and DBMS knowledge.
• Proficient in Go and C++, with scripting in Python or Matlab on Linux.
• Familiarity with Spark or Hadoop; Kafka/RabbitMQ experience is a plus.
• Knowledge of cloud platforms (AWS, GCP, or Azure) and Docker/Kubernetes.
• Excellent problem-solving in a fast-paced, collaborative environment.

Responsibilities

• Implement and maintain data ingestion pipelines from diverse sources.
• Design and optimize data serving to deliver AV data in real time and in batch.
• Monitor pipelines and services to ensure data availability and reliability.
• Collaborate with cross-functional teams to improve processing efficiency and latency.
• Implement data validation and quality checks for ingested data.
• Scale data infrastructure to handle growing AV data volumes.
• Create and maintain documentation for ingestion and serving processes.
• Work with the AV development team to align data requirements with solutions.
• Ensure data security and privacy considerations.

Skills

Go

C++

Python

Matlab

Distributed systems

Data ingestion

Data warehousing

Education

Bachelor's degree in CS/Engineering

Tools

Kafka

RabbitMQ

Docker

Kubernetes

AWS

GCP

Azure

Spark

Hadoop

Linux

Job description

What You'll Be Doing

• 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.

What We Need To See

• 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 18, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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