1 day ago
Base Salary
$184k - $357k/yr
Responsibilities
- Implement and maintain reliable data ingestion pipelines from diverse sources for autonomous vehicle systems.
- Design and optimize data-serving mechanisms for real-time and batch processing.
- Monitor data pipelines and services, proactively identifying and resolving issues.
- Collaborate with cross-functional teams to improve processing efficiency, reduce latency, and enhance system performance.
- Implement validation and data quality checks to ensure ingested data integrity and accuracy.
- Scale data infrastructure to support increasing volumes of autonomous vehicle data.
- Create and maintain documentation for data ingestion and serving processes.
- Work with the autonomous vehicle development team to understand data requirements and improve data-driven solutions.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 8+ years of relevant experience working on autonomous vehicles and/or software infrastructure.
- Extensive expertise developing distributed systems.
- Experience designing and building data ingestion pipelines for large-scale systems.
- Strong knowledge of data warehousing, data modeling, and database management systems.
- Proficiency in Go and C++, plus scripting experience with Python or Matlab in a Linux environment.
- Familiarity with distributed computing frameworks such as Apache Spark or Hadoop.
- Hands-on experience with data streaming technologies such as Kafka or RabbitMQ is preferred.
- Knowledge of cloud platforms such as AWS, GCP, or Azure and containerization technologies such as Docker and Kubernetes.
- Strong problem-solving skills and ability to work collaboratively in a fast-paced environment.
Benefits
- Eligible for equity and benefits.
- Base salary ranges from $184,000 to $287,500 for Level 4 and from $224,000 to $356,500 for Level 5, depending on location, experience, and comparable employee pay.
- Applications will be accepted at least until September 18, 2026.
Tech Stack
Apache HadoopApache KafkaApache SparkAWSAzureC++DockerGoGoogle Cloud PlatformKubernetesLinuxMATLABPythonRabbitMQ
Categories
Data Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.