Senior Software Engineer, Mapping Platform

Field

AI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk‑aware, reliable, field‑ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place.

We go beyond typical data‑driven approaches or pure transformer‑only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

We are looking for a Senior C++ Software Engineer to help scale and product ionize the core software infrastructure behind our robotics mapping platform. This role will focus on improving the architecture, robustness, maintainability, and deployment readiness of systems supporting large‑scale facility scanning and robotics‑enabled mapping workflows.

You will work closely with robotics engineers, mapping and localization specialists, and cross‑functional deployment teams to evolve complex software systems into scalable, production‑ready platforms capable of supporting enterprise customer environments.

This is a high‑impact engineering role for someone who enjoys solving difficult systems problems, improving existing architectures, and operating in fast‑moving environments where technical execution directly influences product delivery and operational success.

• Refactor and improve large‑scale C++ and Python systems supporting robotics and mapping workflows

• Improve software architecture, maintainability, scalability, and reliability across the platform

• Support productionization and on‑prem deployment initiatives

• Optimize performance and operational robustness for deployment‑critical systems

• Collaborate with robotics, mapping, and deployment teams across multiple product lines

• Debug and resolve complex systems and integration issues

• Help establish engineering best practices, software quality standards, and scalable development patterns

• Contribute to long‑term technical strategy and platform evolution

• Operate with high ownership in a fast‑moving startup environment with evolving priorities and delivery timelines

• Strong modern C++ experience in production environments

• Strong software engineering fundamentals and systems thinking

• Experience working within large or evolving codebases

• Proven ability to refactor, scale, and improve existing systems

• Experience debugging complex software and integration issues

• Strong understanding of software architecture, maintainability, and performance optimization

• Ability to operate effectively in ambiguous, fast‑paced environments

• Strong communication and collaboration skills

• Ownership mentality with a bias toward execution and problem solving

• Experience working in robotics, autonomy, industrial automation, or mapping environments

• Familiarity with point cloud processing, LiDAR systems, or robotics software stacks

• Experience supporting production or on‑prem enterprise deployments

• Exposure to ROS2, robotics middleware, or distributed robotics systems

• Experience balancing rapid development with long‑term maintainability and scalability

• Ability to bring structure and engineering rigor to fast‑growing technical organizations

• Strong judgment around pragmatic engineering tradeoffs in high‑growth environments

$160,000 - $180,000 a year

Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job‑related knowledge, skills, experience, and the Irvine, California market.

In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning,…