Backend Software Engineer (Robotics Data)

Rovex Technologies Corporation•Gainesville, FL

1d•$60,000 - $75,000•Onsite

About The Position

Rovex is a robotics startup company based in Gainesville, FL, dedicated to the future of autonomous patient transport and hospital logistics. We are building the hardware and software systems that move people and critical supplies through healthcare environments more safely and efficiently. At Rovex, we’re not just building robots; we’re engineering solutions that improve the lives of patients and healthcare workers alike. Role Overview Rovex is looking for a Backend Engineer who thrives on high-stakes data challenges. This isn't just about building APIs; you will be responsible for the infrastructure that allows our robots to communicate, learn, and operate reliably. You will focus on building the systems that ingest, process, and analyze massive streams of data from our robotic transport units.

Requirements

Experience: 4+ years of backend development with a heavy focus on data architecture.
Data Heavy Focus: Proven experience with time-series databases, large-scale data processing (e.g., Kafka, Spark, or custom Python/C++ streams), and cloud/on-prem storage optimization.
Technical Proficiency: Strong command of backend languages (Python, C++, or Go) and SQL/NoSQL databases.
Collaborative Spirit: A preference for in-person collaboration at our Gainesville headquarters.
Applicants must be currently authorized to work in the United States on a full-time basis. Rovex Technologies does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this position.

Nice To Haves

Experience with ROS/ROS2 (Robot Operating System).
Background in geospatial data or fleet management software.

Responsibilities

Scalable Data Pipelines: Design and implement high-throughput data storage and processing systems specifically for robotic transport telemetry and sensor data.
Robotics Data Analysis: Build the backend frameworks that perform real-time and post-trip analysis on robotic performance and environment mapping.
Infrastructure Optimization: Ensure that the data architecture can scale as our fleet size grows, maintaining low latency for mission-critical robotic feedback loops.
System Integration: Work closely with the firmware team to define how data is structured and transmitted from the robot to our storage clusters.
Data Security & Integrity: Ensure that all data collected from robotic transport is securely stored and meets industry standards for compliance and reliability.