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Robotics Manipulation Jobs in Connecticut (NOW HIRING)

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Robotics Manipulation information

What is robotics manipulation?

Robotics manipulation refers to the ability of robots to interact with and physically manipulate objects in their environment. This field involves designing robotic systems that can grasp, move, and control a variety of items using sensors, actuators, and advanced algorithms. Robotics manipulation is used in industries such as manufacturing, healthcare, and logistics, where robots handle tasks that require precision and adaptability. Researchers in this area focus on improving robot dexterity, perception, and autonomy to enable more complex and delicate operations.

What is the difference between Robotics Manipulation vs Robotics Software Engineer?

AspectRobotics ManipulationRobotics Software Engineer
Required CredentialsEngineering degree, robotics certificationsComputer science or software engineering degree
Work EnvironmentHands-on with robotic hardware, labs, manufacturingSoftware development, simulation, coding
Industry UsageManufacturing, automation, researchSoftware development for robotic systems
Common Search IntentRobotics manipulation skills, hardware focusRobotics programming, software tools

Robotics Manipulation involves working directly with robotic hardware to develop and improve physical interaction capabilities, often in manufacturing or research settings. Robotics Software Engineers focus on developing the software that controls robotic systems, including algorithms and simulations. While both roles require technical skills, Robotics Manipulation emphasizes hands-on hardware work, whereas Robotics Software Engineering centers on coding and software development for robotics applications.

What are the key skills and qualifications needed to thrive as a Robotics Manipulation Engineer, and why are they important?

To thrive as a Robotics Manipulation Engineer, you need expertise in robotics, mechanical engineering, and computer science, often supported by a relevant degree and experience in automation or robotics. Proficiency with programming languages like Python or C++, robotic operating systems (ROS), and simulation tools is typically required. Strong problem-solving, teamwork, and communication skills help you design, test, and refine complex robotic systems effectively. These skills are crucial for developing reliable, intelligent robots that can safely and efficiently interact with their environment.

What are some typical challenges faced by professionals working in robotics manipulation, and how can they be addressed?

Professionals in robotics manipulation often encounter challenges such as integrating complex hardware and software systems, handling uncertainty in object recognition and grasping, and ensuring robust performance in unstructured environments. Collaboration with multidisciplinary teams—including mechanical engineers, software developers, and AI specialists—is key to overcoming these challenges. Staying up to date with the latest research, leveraging simulation tools, and iterative prototyping can also help address common obstacles and drive innovation in this rapidly evolving field.
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Robotics Manipulation jobs near you

Senior Software Engineer - Robotics

StaffRight Associates, LLC

East Hartford, CT

$121K - $160K/yr

Other

Posted 17 days ago

Job description

***Candidates must be currently authorized to work in the United States on a full-time, permanent basis. StaffRight Associates and our clients do not provide visa sponsorship for this position. PLEASE DO NOT APPLY IF YOU DO NOT MEET THESE QUALIFICATIONS

This is an exceptional company seeking extraordinary people! 

Relocation assistance possible..!

The Opportunity

StaffRight Associates is recruiting for a visionary Senior Software Engineer to lead the evolution of sophisticated automation and robotic ecosystems. This is a high-impact, hands-on role where you will bridge the gap between complex hardware and intelligent software, driving the development of networked laboratory systems from initial concept to global production. You will play a pivotal part in modernizing life sciences technology, ensuring that precision robotics and seamless data integration empower the next generation of diagnostic discovery.

What You’ll Do

  • Architect and deploy end-to-end software solutions for advanced robotic platforms, specifically focusing on high-precision liquid handling and instrument manipulation.

  • Engineer critical diagnostic and bring-up utilities in partnership with manufacturing teams to ensure seamless hardware-software integration.

  • Synthesize technical requirements by engaging with product stakeholders and end-users to translate market needs into robust functional specifications.

  • Champion the development of internal Java-based toolsets designed to streamline and standardize application programming across the department.

  • Construct scalable backend architectures, encompassing RESTful web services, persistent database systems, and dynamic user interfaces.

  • Resolve complex field performance issues by providing expert-level technical support and troubleshooting for live production environments.

  • Elevate team standards through active participation in rigorous code reviews, architectural debates, and continuous process refinement.

  • Execute all development within a strictly regulated ISO-certified quality framework to maintain the highest levels of safety and reliability.

What You Bring

  • Educational Excellence: A Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.

  • Domain Expertise: 3 to 10 years of professional experience crafting application-tier software for industrial or laboratory automation environments.

  • Hardware Fluency: Deep technical command of robotics, including servo motor control, pneumatic systems, sensors, and fieldbus communication.

  • Advanced Java Stack: Mastery of Java and Object-Oriented Design (OOD), with a preference for Spring Boot, Hibernate, and real-time/embedded Java applications.

  • Visionary Capabilities: Proven ability to implement machine vision algorithms for robotic guidance, automated inspection, and real-time feedback loops.

  • Technical Versatility: Proficiency with modern development tools (Git, Maven, Docker) and various communication protocols (TCP/IP, Serial, ActiveMQ).

  • Data Proficiency: Experience architecting relational or NoSQL database solutions and managing large-scale data migrations (ETL).

  • Collaborative Mindset: Exceptional communication skills with a track record of thriving within multidisciplinary, cross-functional engineering squads.

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