ZipRecruiter

Log In

1

Flex Time Robot Operating System Jobs (NOW HIRING)

Source One Technical Solutions

Be Seen First

Robot Operator

Cambridge, MA · On-site

$40/hr

Monday-Friday, standard business hours (flexible start time) Overview: This is an early-stage ... Responsibilities: - Operate physical and simulated robotic systems using VR headsets and ...

Figure

Humanoid Robot Operator (Night Shift)

San Jose, CA · On-site

$30/hr

Be responsible for the humanoid robot operating successfully for the Customer use case * Run the ... Experience working with robots or troubleshooting mechanical systems. * Can stand 8+ hours a day ...

Figure

Humanoid Robot Operator (Night Shift)

San Jose, CA · On-site

$30/hr

Be responsible for the humanoid robot operating successfully for the Customer use case * Run the ... Experience working with robots or troubleshooting mechanical systems. * Can stand 8+ hours a day ...

Steel Service Corporation

ROBOT OPERATOR

Flowood, MS · On-site

... operating industrial robots or automated machinery - Strong understanding of robotics, automation systems, and manufacturing processes - Ability to troubleshoot technical issues and perform basic ...

1 point system

Embedded Engineer

Dallas, TX · On-site

$130.10K - $171.10K/yr

Experience with ROS (Robot Operating System). Experience with low-level communication interfaces TCP/IP, Sockets, CAN, SPI. Experience developing for, or interfacing with, embedded systems and ...

next page

Showing results 1-20

All JobsTime Robot Operating System JobsFlex Time Robot Operating System Jobs

Flex Time Robot Operating System information

See salary details

$11

$18

$25

How much do flex time robot operating system jobs pay per hour?

As of May 29, 2026, the average hourly pay for flex time robot operating system in the United States is $18.69, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $20.43 per hour, depending on experience, location, and employer.

What is the difference between Flex Time Robot Operating System vs Robot Programmer?

AspectFlex Time Robot Operating SystemRobot Programmer
CredentialsKnowledge of ROS, programming skillsProgramming certifications, robotics experience
Work EnvironmentRobotics development labs, manufacturingRobotics labs, industrial settings
Industry UsageRobotics software development, automationProgramming and testing robots

Flex Time Robot Operating System focuses on developing and managing robotic software frameworks, while Robot Programmers primarily write and test code for robots. Both roles require programming skills and familiarity with robotics environments, but the OS role emphasizes system integration and software architecture, whereas the programmer role centers on coding and debugging specific robot functions.

More about Flex Time Robot Operating System jobs
What cities are hiring for Flex Time Robot Operating System jobs? Cities with the most Flex Time Robot Operating System job openings:
What states have the most Flex Time Robot Operating System jobs? States with the most job openings for Flex Time Robot Operating System jobs include:
What job categories do people searching Flex Time Robot Operating System jobs look for? The top searched job categories for Flex Time Robot Operating System jobs are:
Flex Time Robot Operating System jobs near you
Infographic showing various Flex Time Robot Operating System job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $38,877 per year, or $18.7 per hour.

Senior Robot Infrastructure Engineer

Skild AI

San Francisco, CA

$127.80K - $173.80K/yr

Other

Posted 13 days ago

Job description

Position Overview

We are seeking a versatile Robotics Infrastructure Engineer to build the edge-to-cloud systems that connect, manage, update, and monitor our robot fleet at scale. Your work will span on-device software, cloud infrastructure, fleet observability, OTA updates, and reliable connectivity in real-world environments. You should be comfortable writing production-grade C++ and Python on robots while also designing secure, low-latency pipelines into cloud and web platforms. This role involves close collaboration with robotics, autonomy, hardware, deployment, and web product teams to unlock new capabilities powered by real-time robot data.

Responsibilities
  • Design, implement, and maintain production-grade C++ and Go running directly on robotic platforms.
  • Build on-device systems for interfacing with core robotics software, managing local data buffering, and handling edge-side communication logic.
  • Architect and maintain secure, low-latency edge-to-cloud data pipelines connecting deployed robot fleets to cloud infrastructure and web platforms.
  • Design, build, and operate OTA update mechanisms for safely and reliably deploying software updates to robots in the field.
  • Build telemetry, alerting, logging, and monitoring tools across the robot operating system, cloud infrastructure, and fleet dashboards.
  • Optimize edge software for reliability, performance, resource usage, and resilience under real-world deployment constraints.
  • Collaborate with autonomy, hardware, deployment, and web product teams to support new features powered by live robot data and fleet-scale infrastructure.
  • Continuously improve fleet reliability, observability, uptime across both device and cloud systems.
Preferred Qualifications
  • 3+ years of relevant industry experience.
  • Strong production programming experience in C++ and Go.
  • Prior experience deploying, operating, or managing connected hardware, IoT devices, or robotic systems at scale.
  • Experience architecting and managing cloud infrastructure, including services such as AWS, GCP IoT Core, EC2, S3, Lambda, or related technologies.
  • Deep understanding of networking protocols commonly used in robotics, IoT, or constrained environments, such as MQTT, WebSockets, gRPC, or similar protocols.
  • Demonstrated experience building or managing OTA update systems for edge devices or deployed fleets.
  • Strong systems-level understanding of edge computing constraints, including CPU, memory, storage, power cycles, connectivity loss, and local data persistence.
  • Experience building fleet observability systems, including telemetry, metrics, logging, alerting, monitoring, and uptime tracking.
  • Strong focus on reliability, fault tolerance, self-healing infrastructure, and safe operation of deployed systems.
  • Experience with OS-level OTA infrastructure or full-device update mechanisms

Apply