Principal Platform Engineer: Cloud-Native Robotics & AI

ARCHER; Redwood City (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Short-Term Disability Insurance

Long-Term Disability Insurance

Life Insurance

401(K) With Company Match

Paid Time Off

Paid Holidays

Paid Parental Leave

Equity Eligibility

Employee Stock Purchase Plan

Job summary

ARCHER in Redwood City, CA designs, builds, and operates secure, scalable cloud-native services and APIs for robot registration, identity, fleet and mission management, telemetry, digital twins, and lifecycle management.

You will collaborate across robotics, AI, infrastructure, and product teams to improve service reliability, security, observability, and performance while advancing AI-assisted onboarding and edge integration frameworks.

Qualifications

• A bachelor's degree in computer science, computer engineering, robotics, or a related technical field and at least seven years of software development experience are required.
• Candidates should have strong programming skills, experience with backend services, APIs, microservices, distributed systems, and cloud-native technologies; a relevant master's degree and robotics, edge, or AI experience are preferred.

Skills

Backend Software Development

Cloud Platforms

Python

Go

Java

C++

REST APIs

Microservices

Distributed Systems

Docker

Kubernetes

CI/CD

Robotics

ROS 2

Robot Fleet Management

AI-Assisted Robot Onboarding

Education

Bachelor's degree in computer science, computer engineering, robotics, or a related technical field

Master's degree in robotics, AI, or related field (preferred)

Job description

ARCHER in Redwood City, CA designs, builds, and operates secure, scalable cloud-native services and APIs for robot registration, identity, fleet and mission management, telemetry, digital twins, and lifecycle management.

You will collaborate across robotics, AI, infrastructure, and product teams to improve service reliability, security, observability, and performance while advancing AI-assisted onboarding and edge integration frameworks.