Senior Software Engineer, Data Ingestion - Autonomous Vehicles

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Software Engineer to advance the data ingestion platform for Autonomous Vehicles Infrastructure. You will build and optimize pipelines to ensure reliable ingestion and efficient serving of AV data, collaborating with cross-functional teams to improve performance and data quality.

The role emphasizes distributed systems expertise, real-time and batch processing, and scalable data infrastructure in a fast-paced environment.

Qualifications

• Bachelor's degree in CS, Engineering, or related field.
• 8+ years in autonomous vehicles or software infra.
• Experience building distributed systems.
• Experience designing data ingestion pipelines at scale.
• Strong data warehousing, data modeling, and DB management.
• Proficiency in Go and C++, with Python or Matlab in Linux.
• Familiarity with Spark or Hadoop.
• Experience with Kafka or RabbitMQ is a plus.

Responsibilities

• Implement and maintain data ingestion pipelines from diverse sources.
• Design and optimize data serving mechanisms for real-time and batch processing.
• Monitor data pipelines and resolve issues to ensure data availability.
• Collaborate with cross-functional teams to improve data processing and reduce latency.
• Implement data quality checks to ensure ingested data integrity.
• Scale data infrastructure to handle growing AV data volumes.
• Create and maintain documentation for data ingestion and serving processes.
• Work with the AV development team to meet data requirements.

Skills

Distributed systems

Data ingestion pipelines

Go

C++

Python

Matlab

Data warehousing

Cloud platforms (AWS/GCP/Azure)

Docker/Kubernetes

Kafka

Spark

Education

Bachelor's degree in CS/Engineering

Tools

Apache Spark

Hadoop

Docker

Kubernetes

SQL/NoSQL

Job description

NVIDIA is hiring a Senior Software Engineer to work on improving the data ingestion platform in our Autonomous Vehicles division! As a Data Ingestion engineer for Autonomous Vehicles Infrastructure, you will play a crucial role in managing and optimizing the flow of data from various sources into our AV systems. Your primary focus will be on ensuring the seamless ingestion and efficient serving of AV data to support critical operations.

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.