Technical Infrastructure Engineer for Scalable AI

Nuro; California (MO); On-site; USD 160,000 - 241,000; Full time

Benefits offered by this job

Annual performance bonus

Equity

Competitive benefits package

Job summary

Nuro is seeking engineers to join our Data Platform, Simulation, and Technical Infrastructure teams. You will help manage data, labels, and metrics for our autonomous driving AI Driver, while contributing to simulation tooling and the core infrastructure that underpins development and testing at scale.

You will work across data ingestion, simulation realism, and cloud-native services, leveraging ML, distributed systems, and robotics software frameworks to push autonomy forward, with competitive

Qualifications

• Bachelor’s degree in CS/EE/Robotics or related field.
• Strong programming skills in Python, C++, or Go.
• Experience with large-scale distributed systems and data processing.
• Familiarity with modern microservice architectures, ML, multithreading, CPU/GPU/FPGA compute.

Responsibilities

• Contribute to Data Platform for data/labels/metrics, including data ingestion, annotation, and introspection tooling.
• Build and improve the Simulation platform and scenario generation for autonomous driving development.
• Develop and maintain Technical Infrastructure, including compute, storage, cloud IaaC, and CI/CD tooling.

Skills

Programming in Python, C++, or Go

Large-scale distributed systems

Data storage and processing

Microservice architecture

Machine learning

Multithreading

Robotics software frameworks

Compute modalities (CPU, GPU, FPGA)

Education

Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or related field

Tools

Robotics software frameworks

Job description

Nuro is seeking engineers to join our Data Platform, Simulation, and Technical Infrastructure teams. You will help manage data, labels, and metrics for our autonomous driving AI Driver, while contributing to simulation tooling and the core infrastructure that underpins development and testing at scale.

You will work across data ingestion, simulation realism, and cloud-native services, leveraging ML, distributed systems, and robotics software frameworks to push autonomy forward, with competitive