FieldAI Jobs

Software Engineer, Product Infrastructure

FieldAI

Software Engineer, Product Infrastructure

Posted 29 Days Ago

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Hybrid

Irvine, CA

Expert/Leader

Hybrid

Irvine, CA

Expert/Leader

Designs and operates AWS and Kubernetes infrastructure, CI/CD systems, GitOps workflows, and internal developer platforms. The role improves reliability, scalability, observability, deployment velocity, and operational maturity across production systems and data pipelines. Responsibilities include infrastructure as code, monitoring, autoscaling, incident response, debugging across application and infrastructure layers, and partnering with engineering teams on platform standards and developer productivity.

The summary above was generated by AI

FieldAI’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 an experienced infrastructure engineer to help build and operate the internal platform systems that power engineering and production workloads across the company.

This role focuses on Kubernetes infrastructure, deployment automation, cloud platform engineering, observability, and production reliability. You’ll work closely with software engineering teams to improve developer experience, deployment velocity, and operational scalability across the organization.

What You Get to do:

Design, deploy, and operate cloud infrastructure on AWS using infrastructure-as-code tooling such as AWS CDK and Terraform

Build and maintain Kubernetes platforms and supporting infrastructure across cloud and internal environments

Develop and improve CI/CD systems, deployment workflows, and GitOps tooling using GitHub Actions and ArgoCD

Improve reliability, scalability, observability, and operational maturity across distributed systems and data pipelines

Debug and resolve production issues spanning application, infrastructure, networking, and deployment layers

Partner with engineering teams to improve developer productivity, deployment velocity, and operational efficiency

Implement monitoring, alerting, autoscaling, and incident response best practices for production systems

Help define infrastructure standards, deployment patterns, and operational best practices as systems evolve

What You Bring:

10+ years of experience in infrastructure engineering, platform engineering, production engineering, or DevOps-focused software engineering roles

Strong hands-on Kubernetes experience operating production systems at scale

Deep experience with AWS infrastructure, including networking, IAM, compute, storage, and observability services

Experience with infrastructure-as-code tooling such as Terraform, AWS CDK, or CloudFormation

Strong programming skills in Python, Go, TypeScript, or similar languages

Experience designing and operating distributed systems and event-driven architectures

Strong debugging and incident response skills across infrastructure and application layers

Experience building CI/CD systems and deployment automation pipelines

Ability to work cross-functionally and take ownership of systems end-to-end

What Sets You Apart:

Experience with GitOps workflows and tools such as ArgoCD

Experience with observability tooling such as Prometheus, Grafana, OpenTelemetry, or Datadog

Experience operating Kafka, PostgreSQL, Redis, or other distributed data systems

Experience with autoscaling systems such as KEDA

Experience building internal developer platforms or shared engineering infrastructure

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.

Why Join FieldAI in Irvine?

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, localization, and manipulation, with an emphasis on explainability and safety for real-world use.

You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.

Be Part of the Next Robotics Revolution

We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.

Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.

We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.

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