Robotics Control Software Engineer

Artisan Technologies; United States; On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Full equity-based compensation

Collaborative team culture

Job summary

A leading technology company is seeking a Robotic Controls Software Engineer to join its dynamic automation team. This pivotal role involves developing scalable systems for controlling robotic devices, blending cloud technologies with control engineering. Candidates must have expertise in C#, .NET, AWS, and demonstrate hands-on experience in robotic automation. This position offers a unique opportunity to contribute to cutting-edge robotics projects, with competitive compensation and an innovative work environment.

Qualifications

• 5+ years of professional software engineering experience required.
• Strong knowledge of AWS cloud infrastructure and microservices.
• Expertise in C#, .NET Core, and React-based frameworks necessary.

Responsibilities

• Develop and maintain back-end systems for robotic control workflows.
• Design and implement real-time control systems for robotic platforms.
• Build RESTful APIs for orchestrating autonomous robotic operations.

Skills

C#

.NET Core

AWS

React

Control systems

Robotics automation

Education

Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering

Tools

AWS services

Docker

Kubernetes

Job description

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We are hiring aRobotic Controls Software Engineerto join our fast-paced automation team focused on building the next generation of intelligent robotic systems. This role is ideal for a back-end software engineer with a strong control engineering background and hands-on experience developing cloud-connected, real-time robotic automation platforms.

The successful candidate will play a central role in architecting and delivering scalable systems that control and monitor robotic devices—blending modern cloud technologies with control theory and robotics automation.Expertise in C#, .NET Core, AWS, and React is essential. A background inAI/ML integrationis a significant advantage.

Key Responsibilities

• Develop and maintain robust back-end systems usingC#,.NET Core, andAWSto support robotic control and automation workflows.
• Design and implement real-time control systems for robotic platforms, including motion control, sensor fusion, and actuator coordination.
• Build RESTful APIs and services for orchestrating autonomous robotic operations and remote diagnostics.
• IntegrateReact-based front-end interfacesfor system monitoring, command execution, and visual feedback from robotic subsystems.
• Work closely with hardware engineers to interface with sensors, motor controllers, and embedded systems using modern communication protocols (i.e., CAN, Modbus, Ethernet/IP).
• LeverageAWS services(i.e., Lambda, IoT Core, ECS, S3) to deploy scalable robotics solutions for industrial environments.
• Contribute to simulation and digital twin environments to validate control strategies and robotic behaviors.
• Apply software engineering best practices, including unit testing, CI/CD, and DevSecOps principles, for secure and maintainable code.

Minimum Qualifications

• Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, or related field.
• 5+ years of professional software engineering experience, including at least 2 years focused on control systems or robotic automation.
• Proficiency inC#,.NET Core, and modernReactfront-end frameworks.
• Strong knowledge ofAWScloud infrastructure, including microservices and serverless architecture.
• Solid foundation in classical and modern control systems, including PID tuning, kinematics, and system modeling.
• Familiarity with industrial fieldbus protocols and hardware integration for robotic motion control.
• Experience with ROS, ROS2, or equivalent middleware for robotic system development.

Preferred Qualifications

• Applied experience inrobotic automation for manufacturing, logistics, or precision systems.
• Familiarity with AI/ML models for perception, prediction, or adaptive control.
• Experience with simulation tools such as Gazebo, Webots, or custom test harnesses.
• Knowledge of containerization (Docker), orchestration (Kubernetes or AWS ECS), and infrastructure as code (Terraform or CloudFormation).
• Demonstrated ability to deliver production-ready systems in a startup or agile R&D environment.

What We Offer

• An opportunity to shape the architecture of a cutting-edge industrial robotics platform.
• Collaborative team culture with strong technical leadership.
• Full equity-based compensation

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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