Software Engineer, Applications

Fluency Digital, Inc.; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Fluency Digital, Inc. is seeking an engineer for their Series A robotics firm in San Francisco. The role bridges cloud intelligence with physical actuation, focusing on the application layer that orchestrates adaptive robotic arms.

Ideal candidates have 5 to 10 years of experience in production software, deep proficiency in Python and C#, and hands-on experience with containerized applications using Docker and Kubernetes. On-site collaboration in the Bay Area is required.

Qualifications

• 5 to 10 years of experience shipping production software.
• Deep proficiency in Python and C#.
• Experience with Docker and Kubernetes.

Responsibilities

• Architect the application layer for adaptive robotic arms.
• Ensure seamless communication between foundation models and hardware controllers.
• Deploy containerized services onto edge devices.

Skills

Python

C#

Containerized applications

AWS

GCP

Azure

Docker

Kubernetes

Unity

Job description

Series A robotics firm deploying foundation-model-powered arms for industrial automation

You are the engineer who prefers greasy factory floors to sterile server rooms, eager to bridge the gap between cloud-scale intelligence and physical actuation. Your days will focus on architecting the application layer that orchestrates adaptive robotic arms, ensuring seamless communication between Python-based foundation models and real-time hardware controllers. This is not a simulation; you will deploy containerized services directly onto edge devices to solve rigid, repetitive tasks for B2B clients across the Bay Area.

What we're looking for:

• 5 to 10 years of experience shipping production software with deep proficiency in Python and C#
• Proven track record deploying containerized applications using Docker and Kubernetes across AWS, GCP, or Azure
• Hands‑on experience integrating software with physical hardware or simulation environments like Unity
• Ability to work on‑site in the San Francisco or South Bay area to collaborate directly with hardware teams
• Must be based in the United States.

Tech stack: Python, Docker, Kubernetes, K8s, AWS, GCP, Azure, Unity