Software Engineer – Robotics Data Infrastructure

IntelliPro Group Inc.; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

IntelliPro Group is seeking a Software Engineer to design and scale data infrastructure powering AI and robotics. You will develop back-end data pipelines, processing systems, and delivery infrastructure for petabyte-scale datasets, collaborating with customer teams to tailor data solutions.

You will work with Python/Go/Rust, AWS/GCP, and large-scale distributed processing to deliver reliable data delivery and validation, in a fast-paced environment with evolving requirements.

Qualifications

• Strong backend engineering skills in Python, Go, or Rust.

Responsibilities

• Design, build, and maintain scalable data processing and delivery pipelines.

Skills

Python

Go

Rust

Large-scale data pipelines

AWS/GCP

Distributed data processing

Communication with customers

Tools

AWS

GCP

Protobuf

MCAP

ROS

Foxglove

Job description

About the Role

We are looking for a Software Engineer to build and scale the data infrastructure powering next-generation robotics and Physical AI.

In this role, you will develop high-volume data pipelines, processing systems, and delivery infrastructure to support leading AI and robotics companies. You'll work closely with customer engineering teams to deliver customized data solutions at petabyte scale.

Prior robotics experience is not required. We are primarily looking for strong backend and data engineers with experience building scalable production systems.

Key Responsibilities

• Design, build, and maintain scalable data processing and delivery pipelines.

• Develop infrastructure for large-scale data transformation, packaging, and storage.

• Work with various data formats, schemas, metadata, and custom client requirements.

• Build reliable data delivery pipelines using AWS/GCP and distributed processing technologies.

• Collaborate directly with customer engineering teams to develop customized solutions.

• Implement automated data validation and quality assurance processes.

Required Qualifications

• Strong backend engineering skills in Python, Go, or Rust.

• Proven experience building and owning large-scale data pipelines in production.

• Hands-on experience with AWS/GCP, distributed data processing, and cloud object storage.

• Experience with high-volume data processing, streaming ingestion, or large binary datasets.

• Strong problem-solving skills and ability to work in a fast-paced, evolving environment.

• Excellent communication skills and ability to collaborate with technical customers.

Preferred Qualifications

• Experience with robotics or autonomous vehicle data formats such as MCAP, ROS, protobuf, or Foxglove.

• Experience processing multimodal data, including video, depth, audio, or sensor data.

• Background in computer vision, multimodal ML, or data labeling infrastructure.

• Previous experience in solutions engineering, forward-deployed engineering, or customer-facing technical roles.